40 Unavatar-Style API Startups to Build on Lightpanda

2. 1. The unavatar Model: What Makes It Work

Before generating ideas, it's worth being precise about what makes unavatar a good business rather than just a nice project.

The Five Properties of the Model

The startups in this report work when they satisfy all five properties. Multi-purpose "web scraping APIs" fail this model; they're too broad, too complex to integrate, and too expensive per request to use at scale. The target is the opposite: one specific data point, impossibly simple API, economics that make sense at millions of daily requests.

3. 2. The lightpanda Advantage: Why Now

A web data API built on Chrome headless at scale costs roughly: 200MB RAM per concurrent browser instance, 2-3 seconds cold start, $0.0003-0.001 per page render at typical cloud pricing. At $0.001 per request retail, that leaves almost no margin for infrastructure, support, and product development.

lightpanda changes the equation. 24MB per instance instead of 200MB means you can run 8x more concurrent instances on the same machine. The 11x speed improvement means the same CPU serves 11x more requests per second. Combined, the infrastructure cost per request drops by roughly 80-90%.

The Constraints to Know

lightpanda does not render CSS, images, or do GPU compositing. This makes it unsuitable for: pixel-perfect screenshots (you need real Chrome for those), sites that gate content behind CSS-triggered interactions, or tasks where visual layout is part of the extraction logic. It is well-suited for: DOM extraction, JavaScript execution to reveal dynamic content, form-based navigation, structured data extraction from any site.

lightpanda also offers its own managed cloud, which means you don't have to self-host; you can call their API and pay per browser session. This further reduces the operational burden of building on top of it.

4. 3. Unlogo: Company Logos from Any Domain

The API

GET https://unlogo.io/stripe.com
GET https://unlogo.io/stripe.com?format=svg
GET https://unlogo.io/stripe.com?json
→ { "url": "https://...", "format": "svg", "width": 200, "height": 60 }

What It Does

unavatar for company logos. Pass a domain, get the best available logo. The service tries sources in order of quality: SVG logos embedded in the page, Open Graph images filtered for logo-like dimensions, favicon with maximum resolution, Apple touch icon, PWA manifest icons. lightpanda navigates the homepage, executes JavaScript (to handle SPAs and dynamically-loaded assets), and extracts all candidate image elements, scoring them by format (SVG preferred), dimensions (wide/short = logo), and position (header placement).

The Market

Every B2B SaaS with a customer list or integration directory needs company logos: CRMs (Salesforce, HubSpot, Attio), investor portfolio pages, partner directories, review sites (G2, Capterra), analytics dashboards showing customer logos, and AI tools that present company data. The existing solutions are terrible: Clearbit's logo API was the market leader and is now Hubspot's, expensive, and requires a full data enrichment contract. Brandfetch exists but is priced for enterprise. There is no unavatar-equivalent: cheap, simple, no auth.

Competition

The lightpanda Advantage

Static logo databases (Logo.dev, Brandfetch) cover ~100k companies well and everything else poorly. A live-crawl approach covers every domain on the internet but is only economically viable if the crawl is cheap. At lightpanda's resource profile, a logo extraction crawl (navigate homepage, extract candidates, score and return best) takes ~200ms and costs a fraction of a cent in infrastructure. The margin at $0.001/request is workable.

Business Model

50 free requests/day. $0.001/request + $5/month for API key and higher rate limits. SVG format and higher resolution as paid-tier features. B2B plan at $99/month for unlimited cached requests + webhook invalidation when a logo changes.

5. 4. Unmeta: Structured Metadata from Any URL

The API

GET https://unmeta.io/?url=https://stripe.com/blog/payments-infrastructure-future
→ {
  "title": "...",
  "description": "...",
  "og_title": "...",
  "og_image": "https://...",
  "og_type": "article",
  "canonical": "https://...",
  "author": "...",
  "published_at": "2024-11-12",
  "schema_org": { ... }
}

What It Does

One API call returns everything in a page's <head>: title, meta description, all Open Graph tags, Twitter Card tags, canonical URL, JSON-LD structured data, author metadata, publication date. The critical differentiator from a simple HTML fetch: lightpanda executes JavaScript, so dynamically-inserted meta tags (Next.js, Vue SSR, SPAs that set og:title in JS) are captured. A plain curl would miss these. Most static extractors miss these.

The Market

Link preview generation is one of the most-reimplemented features in web development. Every chat app (Slack, Discord, Notion, Linear) renders link previews. Every social scheduling tool needs to preview how a URL will appear when shared. Every newsletter platform renders email link previews. Every AI agent that browses the web needs to understand what a page is about before deciding whether to read it fully. The current solution for most developers is to write their own scraper, which breaks constantly as sites update their meta tag injection strategies.

Competition

The lightpanda Advantage

Existing services that execute JavaScript (OpenGraph.io, Microlink) charge a premium because Chrome-based JS execution is expensive. Unmeta's lightpanda infrastructure makes JS execution the default, not the premium tier. This is the main competitive wedge: same quality output at lower price.

6. 5. Unprice: Real-Time Price Extraction

The API

GET https://unprice.io/?url=https://www.amazon.com/dp/B09JQSLL92
→ {
  "price": 89.99,
  "original_price": 129.99,
  "currency": "USD",
  "in_stock": true,
  "seller": "Amazon.com",
  "extracted_at": "2026-04-04T10:23:00Z"
}

What It Does

Pass any product URL from any e-commerce site, get the current price. lightpanda executes JavaScript to reveal prices that are dynamically loaded, handles common anti-bot patterns through configurable request interception, and extracts price from both structured data (JSON-LD Product schema) and DOM heuristics as fallback. Works across Amazon, Shopify stores, WooCommerce, and custom e-commerce builds.

The Market

Price monitoring is one of the oldest scraping use cases. The buyers: browser extensions (Honey, Capital One Shopping), price comparison sites, affiliate marketers monitoring commission rates, procurement teams comparing vendor prices, resellers monitoring competitor pricing, and increasingly AI agents handling purchasing decisions. The market is enormous and currently served by expensive, site-specific scrapers. A generic price extraction API with a simple interface and per-request pricing addresses the long tail of use cases that specialized scrapers don't cover.

The lightpanda Advantage

Modern e-commerce prices are almost universally JavaScript-rendered. Amazon, Shopify, and most large retailers inject prices via JS after the initial HTML load, often with additional obfuscation. lightpanda's full JS execution handles this correctly. The 11x speed advantage matters here too: price data has a short shelf life; a faster extraction is a more accurate price at time of request.

Business Model

$0.002/request (slightly higher than logo/meta due to extraction complexity). Monitoring plans: $49/month for 1000 daily monitored URLs with webhook alerts on price change. The monitoring use case is higher LTV than one-off extraction.

7. 6. Untech: Tech Stack Detection

The API

GET https://untech.io/linear.app
→ {
  "frameworks": ["React", "Next.js"],
  "analytics": ["Segment", "Amplitude"],
  "payments": ["Stripe"],
  "crm": ["Salesforce"],
  "hosting": ["Vercel"],
  "cdn": ["Cloudflare"],
  "chat": ["Intercom"]
}

What It Does

Pass a domain, get a structured breakdown of every detectable technology the site uses. lightpanda executes the page's JavaScript fully, which means: React/Vue/Angular framework detection is reliable (not just HTML class guessing); analytics libraries loaded asynchronously are detected; A/B testing tools, customer data platforms, payment processors, and support widgets are all visible in the executed JS environment. This is fundamentally better than header-based detection or static HTML parsing.

The Market

B2B sales intelligence is a $3B+ market. Sales teams at developer tools companies want to know: "which of my prospects uses Stripe? Which uses Intercom? Which is on Vercel and therefore likely a Next.js shop?" The dominant player (BuiltWith) charges $295-995/month for API access. Wappalyzer was acquired and is increasingly closed. There is a clear gap for a cheap, API-first alternative with better JS-executed detection.

Competition

The lightpanda Advantage

Static detection misses anything loaded via async JS: most modern analytics (Segment, Amplitude, PostHog), modern support widgets (Intercom, Crisp), and most A/B testing tools (LaunchDarkly, Split) are injected after page load. lightpanda sees the fully-executed DOM, which is where the signal actually lives. This produces materially better data on modern tech stacks than any header-based competitor.

8. 7. Uncontact: Contact Data from Any Domain

The API

GET https://uncontact.io/stripe.com
→ {
  "emails": ["press@stripe.com", "support@stripe.com"],
  "phone": "+1-888-...",
  "address": "354 Oyster Point Blvd, South San Francisco, CA",
  "social": {
    "twitter": "https://twitter.com/stripe",
    "linkedin": "https://linkedin.com/company/stripe",
    "github": "https://github.com/stripe"
  }
}

What It Does

Pass a domain, get structured contact data. lightpanda navigates the homepage, then follows links to the most likely contact pages (/contact, /about, /team) based on link text and URL pattern matching. From each page it extracts: email addresses (including those in mailto: links and obfuscated in JS), phone numbers, physical addresses, and social profile links. The multi-page traversal is what makes this better than single-page scrapers; contact data is almost never on the homepage.

The Market

Lead generation and B2B prospecting. Sales teams spend significant time manually finding contact data for prospect companies. Existing solutions (Hunter.io, Apollo) rely on pre-built email databases that are often stale and limited to known patterns (first.last@company.com). A live-crawl approach finds the actual published contact data, which is particularly valuable for smaller companies and long-tail domains not covered by the big databases.

Business Model

$0.005/domain (higher price point; contact data is higher-value than metadata). Bulk plans: $99/month for 25k domain lookups. Integration with Clay, Apollo, and other sales tools as the primary distribution channel.

9. 8. Unreader: Clean Article Extraction for AI Pipelines

The API

GET https://unreader.io/?url=https://www.nytimes.com/2026/03/15/technology/...
→ {
  "title": "...",
  "author": "...",
  "published_at": "2026-03-15",
  "content": "Clean article text without nav, ads, footers...",
  "markdown": "# Title\n\nParagraph...",
  "word_count": 1240,
  "reading_time": 5
}

What It Does

Pass any article URL, get clean readable content. lightpanda executes the full page JavaScript (bypassing most soft paywalls and dynamic content loaders), then applies a Readability-style algorithm to extract the main content body, removing navigation, ads, footers, comments sections, and related article widgets. Output in both plain text and Markdown. Structured metadata included.

The Market

The AI agent market is the primary driver. Every RAG pipeline, every web-browsing agent, every LLM application that needs to read web content needs to convert URLs into clean text. The alternatives are: build your own (complex, breaks constantly), use Jina.ai's Reader API (good but no JS execution for dynamic content), or use general scraping APIs that return raw HTML you have to parse yourself. The market for "URL to clean text" is growing at the same rate as LLM adoption.

Competition

The lightpanda Advantage

Jina.ai Reader is the closest competitor and the one to beat. Its weakness: JavaScript-rendered content. Many modern news sites (and almost all Substack-style platforms) inject article content via JS. lightpanda-based extraction gets the full article. Jina.ai gets the loading skeleton. At the same price point, better JS handling is a clear competitive differentiator for the AI agent use case, where the content quality directly affects output quality.

10. 9. Unscreenshot: Screenshots at Lightpanda Economics

The API

GET https://unscreenshot.io/?url=https://stripe.com&width=1280&height=800
GET https://unscreenshot.io/?url=https://stripe.com&fullpage=true
GET https://unscreenshot.io/?url=https://stripe.com&format=pdf

What It Does

URL to screenshot. The screenshot market is well-established (ScreenshotOne, URLbox, Screenshotlayer, ApiFlash) and the API surface is commoditized. The differentiation here is purely economic: lightpanda's resource profile makes it possible to profitably charge less than any competitor, which in a commodity market is a durable advantage.

Note: lightpanda does not render CSS in the same way as a full browser. For pixel-perfect screenshots, you would use lightpanda's managed cloud option which also offers Chrome instances, falling back to Chrome for screenshot requests while using lightpanda for text extraction tasks. This hybrid approach means you get the lightpanda cost advantage on the majority of requests (data extraction) while maintaining screenshot quality.

The Market

Screenshots are needed by: automated testing (visual regression), social media tools (generating link preview images), archive services, monitoring tools (detect website defacement), and developer tools (documentation screenshots). The market is large and price-sensitive. ScreenshotOne charges $19/month for 1000 screenshots; at lightpanda economics, $4.99/month for the same volume is viable.

Competition and Pricing Gap

11. 10. Uncolor: Brand Color Extraction

The API

GET https://uncolor.io/stripe.com
→ {
  "primary": "#635BFF",
  "secondary": "#0A2540",
  "accent": "#00D4FF",
  "background": "#FFFFFF",
  "text": "#0A2540",
  "palette": ["#635BFF", "#0A2540", "#00D4FF", "#F6F9FC"],
  "css_variables": {
    "--color-primary": "#635BFF",
    "--color-secondary": "#0A2540"
  }
}

What It Does

Pass a domain, get the brand's color palette extracted from live CSS. lightpanda executes the page fully, then reads computed styles and CSS custom properties (CSS variables like --brand-primary) from the DOM. This is more accurate than image-based color extraction (which BuiltWith and Brandfetch use) because it reads the actual design system rather than inferring colors from pixels.

The Market

Niche but clear: design tools that auto-generate branded assets (Canva, Figma plugins), competitive intelligence tools that track brand identity changes, marketing automation that needs to match email templates to brand colors, and browser extensions that provide brand kit information. No direct API competitor at this price point. Brandfetch includes colors but only for ~100k curated brands and at much higher cost.

12. 11. Unstock: Product Availability API

The API

GET https://unstock.io/?url=https://www.nike.com/t/air-max-90/...
→ {
  "in_stock": true,
  "variants": [
    { "size": "10", "in_stock": true },
    { "size": "11", "in_stock": false }
  ],
  "quantity": null,
  "extracted_at": "2026-04-04T10:23:00Z"
}

What It Does

Pass a product URL, get availability status including variant-level stock data. lightpanda executes the page fully to handle: inventory data loaded via AJAX after initial page load (almost universal in modern e-commerce); variant-level availability that requires selecting size/color options; and structured data (JSON-LD Offer schema) as a fast extraction path when available.

The Market

Sneaker resellers and limited-edition product monitors, browser extension users who want restock alerts, procurement teams monitoring supplier availability, and increasingly AI purchasing agents that need to verify availability before placing an order. The key pricing point: this is monitoring, not one-off extraction. The revenue model is recurring subscriptions for monitored URLs, not per-request pricing.

13. 12. Unai: LLM-Ready Page Extraction

The API

GET https://unai.io/?url=https://stripe.com/pricing&optimize=gpt-4
→ {
  "content": "Structured markdown optimized for LLM context windows",
  "tokens": 1847,
  "chunks": [...],
  "summary": "Stripe pricing page: three tiers (Starter $..., Growth $..., Enterprise custom)...",
  "key_data": {
    "prices": [...],
    "features": [...],
    "cta_urls": [...]
  }
}

What It Does

Unreader is about clean article extraction. Unai is specifically optimized for the AI agent use case: the output is structured to minimize token usage while maximizing information density. It strips HTML boilerplate more aggressively, converts tables to compact structured formats, de-duplicates repetitive content, and optionally summarizes the page to fit within a specified token budget. The ?optimize=gpt-4 parameter tunes the output for specific context window sizes and tokenization patterns.

The Market

AI agent infrastructure is the fastest-growing segment of developer tools in 2026. Every agent that browses the web needs to convert pages to tokens efficiently. The cost of an agent run is denominated in tokens; an API that reduces token usage on page extraction directly reduces the cost of running the agent. This is a market that didn't exist in meaningful form 24 months ago and is now large enough to support dedicated infrastructure companies.

The lightpanda Connection

lightpanda is explicitly designed "for AI agents" per its own documentation. Its CDP compatibility means it integrates with existing Playwright/Puppeteer-based agent frameworks directly. The combination of lightpanda for rendering and Unai's extraction layer for LLM optimization is a natural product pairing.

14. 13. Group 2: Content & Media

Six ideas focused on extracting structured content from web pages: favicons, tables, search results, job listings, video metadata, and podcasts. All benefit from lightpanda's JS execution for dynamically-injected content.

13a. Unfavicon: Best-Quality Favicon from Any Domain

GET https://unfavicon.io/notion.so
GET https://unfavicon.io/notion.so?format=svg&size=512
→ image (SVG preferred, PNG fallback)

/favicon.ico is a lie. Most sites serve a 16x16 pixel ICO there and hide their 512px PNG or SVG icon in <link rel="apple-touch-icon">, the PWA manifest, or <link rel="icon" type="image/svg+xml"> tags. lightpanda navigates the page, reads all icon declarations, and returns the highest-resolution version in the requested format. Consumers: browser extensions, bookmark managers, RSS readers, productivity apps that display site icons. Closest competitor: favicon.io fetches only /favicon.ico. Price: $0.0005/request (simpler extraction than logo).

13b. Untable: Structured Table Extraction from Any Page

GET https://untable.io/?url=https://en.wikipedia.org/wiki/List_of_countries_by_GDP
→ {
  "tables": [
    { "headers": ["Rank", "Country", "GDP (nominal)"], "rows": [[...], ...] }
  ]
}

Every web page with a <table> is a structured dataset waiting to be extracted. Financial tables, sports statistics, comparison charts, regulatory data, Wikipedia lists: all are inaccessible as structured data today without bespoke scrapers. lightpanda executes JS to reveal dynamically-populated tables (DataTables.js, React Table), then serializes to JSON arrays. Consumers: data analysts, no-code tools (Airtable, Notion integrations), financial data pipelines. Closest competitor: none in simple API form. Price: $0.002/page (multiple tables returned per call).

13c. Unsearch: SERP Data Extraction

GET https://unsearch.io/?q=best+crm+software&engine=google&country=us
→ {
  "organic": [{ "position": 1, "title": "...", "url": "...", "snippet": "..." }],
  "ads": [...],
  "related": [...]
}

Search engine results pages contain the most commercially valuable structured data on the internet. SerpAPI charges $50-130/month; DataForSEO charges per-credit. lightpanda renders the SERP (handling Google's JS-heavy interface), extracts organic results, ads, knowledge panels, and related queries. Consumers: SEO tools, competitor intelligence, market research, AI agents that need to know what ranks for a query. Legal note: this is the highest-risk idea on the list; Google actively blocks scrapers. Price: $0.005/search (premium for difficulty).

13d. Unjob: Job Listings from Any Careers Page

GET https://unjob.io/stripe.com
→ {
  "jobs": [
    { "title": "Senior Engineer", "team": "Payments", "location": "Remote", "url": "..." }
  ],
  "total": 47,
  "extracted_at": "2026-04-04T..."
}

Every company posts jobs on their own domain (/careers, /jobs, /work-with-us) in addition to job boards. Recruiting tools, job aggregators, and competitive intelligence platforms want this data without scraping each site individually. lightpanda navigates the careers page, handles infinite scroll and JS-rendered job lists (Greenhouse, Lever, Ashby embeds all render via JS), and returns normalized job data. Consumers: recruiting automation, talent intelligence (track competitor hiring signals), job aggregators. Closest competitor: no simple domain-input API exists. Price: $0.01/domain (multi-page traversal).

13e. Unvideo: Video Metadata from Any Video URL

GET https://unvideo.io/?url=https://www.youtube.com/watch?v=dQw4w9WgXcQ
→ {
  "title": "...", "channel": "...", "duration": 212,
  "thumbnail": "https://...", "views": 1400000000,
  "published_at": "2009-10-25", "description": "..."
}

Video metadata is spread across YouTube, Vimeo, Wistia, Loom, Mux, and dozens of hosting platforms, each with its own API (or none). A universal video metadata endpoint handles all platforms via lightpanda: navigate the video URL, extract structured data from JSON-LD (YouTube, Vimeo both publish it), player config objects, and meta tags. Consumers: content marketing tools, video SEO platforms, newsletter tools that embed video previews. Price: $0.001/request.

13f. Unpodcast: Podcast Episode Data from Any Show Page

GET https://unpodcast.io/?url=https://www.acquired.fm/episodes/nvidia-2024
→ {
  "title": "NVIDIA (2024)", "show": "Acquired", "duration": 9240,
  "published_at": "2024-02-01", "description": "...", "audio_url": "https://..."
}

Podcast show pages are messy HTML with show notes, audio embeds, and episode metadata in inconsistent formats. RSS feeds exist but are often incomplete or stale. lightpanda navigates the episode page, extracts structured data from JSON-LD (PodcastEpisode schema when present) and DOM heuristics as fallback, and returns normalized episode metadata including the direct audio URL. Consumers: podcast aggregators, AI transcription pipelines, research tools that process podcast content. Price: $0.001/episode.

15. 14. Group 3: Business Intelligence

Six ideas for extracting business-relevant signals from websites: tracking pixels, ad networks, business hours, ratings, funding data, and changelogs. The buyers are B2B sales, marketing, and competitive intelligence teams.

14a. Untrack: Tracker and Pixel Detection

GET https://untrack.io/hubspot.com
→ {
  "analytics": ["Google Analytics 4", "Segment"],
  "advertising": ["Google Ads", "Meta Pixel", "LinkedIn Insight"],
  "heatmaps": ["Hotjar"],
  "crm": ["HubSpot"],
  "ab_testing": ["Optimizely"]
}

Marketing teams want to know what tools competitors use for their ad attribution, retargeting, and analytics stack. Agency teams use this for prospect research: "this company runs Meta Pixel, they're a fit for our paid social service." lightpanda executes the full page, intercepts all network requests, and identifies trackers by URL pattern and injected script signatures. This is more complete than static HTML analysis because most tracking pixels fire after JS execution. Closest competitor: Ghostery (browser extension, not API); BuiltWith (less focus on tracking). Price: $0.002/domain.

14b. Unads: Ad Network and Placement Detection

GET https://unads.io/theverge.com
→ {
  "networks": ["Google AdSense", "Prebid.js", "AppNexus"],
  "formats": ["display", "native", "video"],
  "density": "high",
  "header_bidding": true
}

Publishers, ad tech companies, and media buyers want to understand a site's advertising infrastructure before buying or partnering. Is this site running header bidding? Which SSPs? Is it direct-sold or programmatic? lightpanda executes the page fully, intercepts ad requests, and identifies ad networks from request URLs and script signatures. Consumers: programmatic media buyers, ad tech sales teams, publisher intelligence tools. Price: $0.003/domain.

14c. Unopen: Business Hours Extraction

GET https://unopen.io/mcdonalds.com/us/en-us/restaurant-locator/...
GET https://unopen.io/?url=https://...
→ {
  "is_open_now": true,
  "hours": {
    "monday": "6:00 AM - 11:00 PM",
    "tuesday": "6:00 AM - 11:00 PM"
  },
  "timezone": "America/New_York",
  "holiday_hours": [...]
}

Business hours data is one of the most-needed and worst-served structured data categories. Google My Business has it; most business websites publish it in unstructured HTML. lightpanda extracts hours from JSON-LD (OpeningHoursSpecification), hCard microformats, and DOM heuristics. Returns current open/closed status. Consumers: navigation apps, local SEO tools, reservation platforms, AI assistants that answer "is X open right now?" queries. Price: $0.002/URL.

14d. Unrating: Star Rating and Review Score Extraction

GET https://unrating.io/?url=https://www.amazon.com/dp/B09JQSLL92
→ {
  "score": 4.3, "max": 5.0, "count": 18492,
  "distribution": { "5": 62, "4": 18, "3": 8, "2": 5, "1": 7 },
  "schema": "AggregateRating"
}

Review scores from product pages, app store listings, and business directories are the social proof data that drives purchase decisions. lightpanda extracts from JSON-LD AggregateRating schema (the fast path), falling back to DOM extraction for sites that don't publish structured data. Consumers: price comparison sites, competitor intelligence, review aggregators, AI purchasing agents. Price: $0.001/URL.

14e. Unfund: Company Funding Data from Public Sources

GET https://unfund.io/openai.com
→ {
  "total_raised": "$11.3B",
  "last_round": { "type": "Series E", "amount": "$6.6B", "date": "2024-10" },
  "investors": ["Microsoft", "Thrive Capital", "..."],
  "source_urls": [...]
}

Funding data is published in press releases, About pages, and Crunchbase-cited news articles. A live-crawl approach can aggregate from multiple public sources: the company's own press release archive, LinkedIn company page, and news mentions. lightpanda navigates the company's press page and investor relations section, extracts structured funding announcements. Consumers: VC research tools, sales intelligence, competitive monitoring. Price: $0.01/domain (multi-source aggregation).

14f. Unchangelog: SaaS Changelog Extraction

GET https://unchangelog.io/linear.app
→ {
  "entries": [
    {
      "date": "2026-03-28",
      "title": "New inbox zero experience",
      "body": "...",
      "url": "https://linear.app/changelog/..."
    }
  ]
}

SaaS companies publish changelogs at /changelog, /releases, /whats-new, or via dedicated tools (Beamer, Headway, Changefeed). Competitive intelligence teams, integration developers, and sales teams want to monitor when competitors ship features. lightpanda navigates the changelog page, handles JS-rendered changelog widgets, and returns normalized release entries. Consumers: competitive intelligence platforms (Klue, Crayon), developer monitoring tools, sales enablement. Price: $0.005/domain (pagination traversal).

16. 15. Group 4: Commerce

Six ideas for e-commerce and transactional data extraction: product catalogs, shipping costs, menus, coupon codes, reviews, and variant data. The common thread: all of this data is JS-rendered, high-value, and constantly changing.

15a. Unproduct: Full Product Catalog from Any E-commerce Site

GET https://unproduct.io/?url=https://www.patagonia.com/shop/mens-jackets
→ {
  "products": [
    { "name": "Nano Puff Jacket", "price": 199.00, "url": "...", "image": "..." }
  ],
  "total": 34, "page": 1
}

Product catalog extraction is the foundation of price comparison, affiliate marketing, dropshipping intelligence, and procurement research. Most e-commerce sites render product grids via JS (React/Vue storefronts, Shopify liquid compiled client-side). lightpanda executes the page, extracts product cards with name, price, image, and URL, handles infinite scroll and pagination. Consumers: price comparison engines, dropshipping research tools, procurement teams. Price: $0.005/page (high data density).

15b. Unship: Shipping Cost Extraction

GET https://unship.io/?url=https://www.amazon.com/dp/B09JQSLL92&zip=10001
→ {
  "options": [
    { "name": "Standard Shipping", "price": 0.00, "days": "5-7" },
    { "name": "Prime", "price": 0.00, "days": "1-2" }
  ],
  "free_threshold": 25.00
}

Shipping costs are a major factor in purchase decisions and impossible to get systematically without interacting with checkout flows. lightpanda navigates to the product page, adds the item to cart (simulated), and extracts shipping options for a given ZIP code. Consumers: price comparison sites (total cost = product + shipping), resellers comparing fulfillment options, procurement tools. This is technically complex (requires cart interaction) but the data is uniquely valuable. Price: $0.02/query (multi-step interaction).

15c. Unmenu: Restaurant and Product Menu Extraction

GET https://unmenu.io/dominos.com
→ {
  "categories": [
    {
      "name": "Pizzas",
      "items": [{ "name": "Pepperoni", "price": 12.99, "description": "..." }]
    }
  ]
}

Restaurant menus online are among the most unstructured data categories: PDFs, image-based menus, custom CMS templates, and third-party embed widgets. lightpanda handles JS-rendered menu widgets (Toast, Square, Olo), extracts item names, prices, descriptions, and categories. Consumers: delivery aggregators wanting current menu data, food ordering AI agents, nutrition tracking apps that need to know what's at a given restaurant. Price: $0.01/domain.

15d. Uncoupon: Promo Code Detection from Checkout Pages

GET https://uncoupon.io/allbirds.com
→ {
  "codes": [
    { "code": "NEWUSER20", "discount": "20% off first order", "expires": null }
  ],
  "affiliate_programs": [{ "network": "Impact", "url": "..." }]
}

Active promo codes are published in affiliate program feeds, coupon sites, and social media but aggregating them is manual work. lightpanda crawls the brand's social profiles, coupon landing pages, and affiliate program pages to find active codes. Different from existing coupon sites (RetailMeNot, Honey): this is an API for developers building checkout-assist tools, not a consumer browser extension. Consumers: checkout optimization tools, browser extensions, cashback platforms. Price: $0.01/domain.

15e. Unreview: Customer Review Extraction

GET https://unreview.io/?url=https://www.amazon.com/dp/B09JQSLL92&page=1
→ {
  "reviews": [
    { "rating": 5, "title": "...", "body": "...", "author": "...", "date": "2026-03-01", "verified": true }
  ],
  "total": 18492
}

Review text is the most valuable unstructured data in e-commerce: it contains the exact language customers use to describe what they want, what they got, and what failed. NLP teams, product managers, and marketing teams want programmatic access to review corpora. lightpanda paginates through review sections (handling JS-rendered review widgets), extracts structured review objects. Consumers: sentiment analysis tools, product research platforms, AI training data pipelines. Price: $0.002/page.

15f. Unvariant: Product Variant Catalog

GET https://unvariant.io/?url=https://www.nike.com/t/air-max-90/...
→ {
  "variants": [
    { "size": "10", "color": "White/Black", "sku": "CN8490-100", "price": 110.00, "in_stock": true }
  ]
}

Product pages with multiple variants (size, color, material) expose their full variant matrix only after JS execution: each variant selection triggers an API call that updates price, SKU, and availability. lightpanda can iterate through variant selectors to extract the complete variant catalog. Consumers: inventory management tools, price monitoring for specific SKUs, marketplace sellers who need to know exact variant pricing across competitors. Price: $0.005/product (multi-interaction extraction).

17. 16. Group 5: Developer & Technical

Six ideas aimed at developer tooling, site auditing, and technical analysis. The buyers are developers themselves; these are tools that developers wish existed and would pay small recurring amounts to use constantly.

16a. Unform: Form Field Extraction

GET https://unform.io/?url=https://stripe.com/contact/sales
→ {
  "forms": [
    {
      "action": "/api/contact",
      "fields": [
        { "name": "email", "type": "email", "required": true, "label": "Work email" },
        { "name": "company", "type": "text", "required": true }
      ]
    }
  ]
}

Form structure extraction is needed by QA automation (generate test cases from live forms), lead generation intelligence (what fields does this CRM's trial form ask for?), and sales tools that auto-populate prospect forms. lightpanda renders the page and extracts all form elements including those in shadow DOM, iframes, and JS-rendered form builders (Typeform, HubSpot Forms, Marketo embeds). Price: $0.002/URL.

16b. Unapi: API Endpoint Detection from Developer Docs

GET https://unapi.io/stripe.com
→ {
  "endpoints": [
    { "method": "POST", "path": "/v1/charges", "description": "Create a charge" }
  ],
  "base_url": "https://api.stripe.com",
  "auth": "Bearer token",
  "openapi_url": "https://..."
}

Developer tools teams building integrations need to understand what API surface a service exposes, often before committing to a full integration. lightpanda navigates the developer docs, extracts endpoint listings (often rendered in JS-heavy doc platforms like ReadMe, Mintlify, Docusaurus), and returns a structured endpoint catalog. Consumers: integration platforms (Zapier, Make), AI coding assistants that need to know a service's API to write integration code. Price: $0.01/domain.

16c. Unseo: Basic On-Page SEO Audit

GET https://unseo.io/?url=https://stripe.com/pricing
→ {
  "title": { "value": "Pricing & Fees | Stripe", "length": 26, "ok": true },
  "meta_description": { "value": "...", "length": 142, "ok": true },
  "h1": { "count": 1, "value": "Simple, transparent pricing" },
  "canonical": "https://stripe.com/pricing",
  "issues": []
}

On-page SEO audits are run constantly by SEO tools, content teams, and site owners. The core check list; title length, meta description, H1 count, canonical URL, image alt text coverage, internal link count; is standardized and well-understood. lightpanda ensures that JS-rendered titles (a common SPA problem) are audited correctly. Price: $0.001/URL (simple extraction). Bundle into a Screaming Frog-style crawler at $49/month for unlimited audits on a domain.

16d. Unperformance: Core Web Vitals via Headless

GET https://unperformance.io/?url=https://stripe.com&device=mobile
→ {
  "lcp": 1.8,
  "fid": 12,
  "cls": 0.02,
  "ttfb": 0.4,
  "performance_score": 94,
  "measured_at": "2026-04-04T10:23:00Z"
}

Core Web Vitals are the Google ranking signals that every site owner monitors. Existing solutions: Google PageSpeed Insights API (free but rate-limited, no SLA), WebPageTest (complex), Lighthouse CI (self-hosted). A simple API that returns current CWV for any URL on demand, at any volume, fills a clear gap. lightpanda instruments the page load and captures timing metrics. Consumers: monitoring tools, SEO platforms, site performance dashboards. Price: $0.005/URL (compute-intensive).

16e. Unredirect: URL Redirect Chain Resolution

GET https://unredirect.io/?url=https://bit.ly/3xKjP2m
→ {
  "final_url": "https://stripe.com/blog/...",
  "chain": [
    { "url": "https://bit.ly/3xKjP2m", "status": 301 },
    { "url": "https://stripe.com/blog/...", "status": 200 }
  ],
  "hops": 1
}

URL redirect resolution sounds trivial but isn't: some redirect chains involve JS-based redirects (window.location assignments) that a plain HTTP client won't follow. lightpanda follows full redirect chains including JS redirects, meta refresh tags, and framework-level client-side routing. Consumers: SEO tools (redirect chains waste crawl budget), link monitoring services, email tools that need to resolve tracking URLs to final destinations. Price: $0.0005/URL (fast, low complexity).

16f. Unpermission: Browser Permission Requests Detection

GET https://unpermission.io/nytimes.com
→ {
  "requested": ["notifications", "geolocation"],
  "on_load": ["notifications"],
  "third_party_requests": ["push.onesignal.com"],
  "gdpr_banner": true
}

Browser permission requests (notifications, location, camera, microphone) are a significant UX and compliance concern. Privacy auditors, browser vendors, and site operators want to know what permissions a site requests on load vs. on interaction. lightpanda intercepts permission API calls during page execution and logs them. Consumers: privacy compliance tools, browser extension developers, UX auditing for conversion optimization (permission prompts hurt conversion). Price: $0.002/URL.

18. 17. Group 6: Identity & Structure

Six ideas around people, social signals, page structure, and site organization. More varied in target market, but each has a clear buyer who needs this data today and has no clean API to get it from.

17a. Unperson: Public Profile Data Extraction

GET https://unperson.io/twitter/elonmusk
GET https://unperson.io/github/torvalds
→ {
  "name": "Linus Torvalds", "bio": "...", "followers": 182000,
  "location": "Portland, OR", "website": "https://...",
  "pinned": [...]
}

Public social profiles contain the most current data about a person: current job, location, interests, recent work. Existing solutions (Twitter API: $100/month+; GitHub API: rate-limited; LinkedIn: no public API) are either expensive, restricted, or unavailable. lightpanda extracts publicly-visible profile data without requiring platform API access. Consumers: recruiting tools, CRM enrichment, due diligence platforms. Scope limited to public data only. Price: $0.003/profile.

17b. Unsocial: Social Proof Stats from Any Public Account

GET https://unsocial.io/youtube/mkbhd
→ {
  "platform": "youtube", "handle": "mkbhd",
  "followers": 18200000, "posts": 1543,
  "avg_views": 3200000, "verified": true
}

Follower counts, post volumes, and engagement metrics from public social profiles are the social proof data that sales and marketing teams put in decks, that influencer platforms use for vetting, and that CRMs display for account context. lightpanda extracts publicly-visible stats from profiles across platforms. Consumers: influencer marketing platforms, B2B CRMs (show prospect's LinkedIn following), market research tools. Price: $0.002/profile.

17c. Unevent: Events and Dates Extraction from Any Page

GET https://unevent.io/?url=https://stripe.com/sessions
→ {
  "events": [
    { "name": "Stripe Sessions 2026", "date": "2026-05-14",
      "location": "San Francisco, CA", "url": "...", "price": "Free" }
  ]
}

Event listings on company websites, conference sites, and community platforms are unstructured: dates in running text, registration links buried in CTAs. lightpanda extracts from JSON-LD Event schema (the fast path) and DOM heuristics as fallback. Returns normalized event objects with date, location, URL. Consumers: event aggregators, calendar apps, AI assistants that answer "what events is Stripe hosting this year?". Price: $0.002/URL.

17d. Unmap: Full Site Link Map

GET https://unmap.io/stripe.com?depth=2
→ {
  "pages": [
    { "url": "https://stripe.com/pricing", "title": "Pricing", "internal_links": 23 }
  ],
  "total_pages": 187, "depth": 2
}

Site crawls are the foundation of SEO audits, broken link detection, site migration planning, and content inventories. Existing crawlers (Screaming Frog, Sitebulb) are desktop apps, expensive, and not API-accessible for programmatic use. lightpanda crawls pages to specified depth, follows internal links, and returns a structured page inventory. JS-rendered navigation (mega-menus, lazy-loaded nav trees) is handled correctly. Consumers: SEO agencies, site migration tools, content audit platforms. Price: $0.001/page crawled.

17e. Unpolicy: Privacy Policy and ToS Summarization

GET https://unpolicy.io/spotify.com
→ {
  "privacy_policy_url": "https://www.spotify.com/legal/privacy-policy/",
  "last_updated": "2025-09-01",
  "data_collected": ["email", "location", "listening history", "..."],
  "data_shared_with": ["advertising partners", "..."],
  "summary": "Spotify collects extensive behavioral data and shares it with advertising partners..."
}

Privacy policies are legal documents designed to be unread. A service that extracts structured data from them (what data is collected, what it's shared with, when it was last updated) and generates a plain-language summary serves a clear need for: compliance teams doing vendor due diligence, privacy-conscious consumers, and journalists covering data practices. lightpanda navigates to the privacy policy page, extracts the document, and an LLM layer summarizes it. Price: $0.01/domain.

17f. Unlang: Language, Locale, and i18n Detection

GET https://unlang.io/ikea.com
→ {
  "primary_language": "en",
  "available_locales": ["en-us", "en-gb", "fr-fr", "de-de", "ja-jp"],
  "locale_switcher": true,
  "locale_switcher_url": "https://www.ikea.com/us/en/",
  "hreflang_tags": [{ "lang": "fr-fr", "url": "https://www.ikea.com/fr/fr/" }]
}

i18n metadata is needed by: localization platforms (which locales does this site have?), SEO tools (are hreflang tags correctly implemented?), market intelligence (which countries does this company actually serve?). lightpanda navigates the site, reads hreflang tags, detects the locale switcher widget, and returns the full locale map. Consumers: localization agencies, international SEO platforms, market expansion research. Price: $0.001/domain.

19. 18. Comparison Table: All 40 Ideas

20. 19. The Three Best Bets

1. Unlogo: Highest Product-Market Fit Certainty

The analogy to unavatar is exact. Every B2B SaaS developer who has tried to get company logos has encountered the same problem: Clearbit requires an expensive plan, Logo.dev has a static database, Brandfetch requires enterprise negotiation. The gap is real and well-documented in developer forums. The API surface is obviously correct (pass a domain, get a logo). The lightpanda advantage (live crawl vs. static database) is durable. Build this: it works, it sells, it has clear growth mechanics as B2B SaaS usage grows.

2. Unreader / Unai: Fastest-Growing Market

The AI agent market is the right market to be in right now. Every new LLM application that uses web data needs URL-to-clean-text. Jina.ai Reader has demonstrated the demand; its free tier gets millions of requests from AI developers who don't want to build their own scraper. The gap: Jina.ai's JS execution is partial. Unai with lightpanda closes this gap at the same price point. The customer acquisition loop is favorable: AI developers share tools with other AI developers; viral word-of-mouth in the developer AI community is high.

3. Untech: Highest Revenue Per Customer

B2B sales intelligence buyers spend $300-1000/month on BuiltWith. A lightpanda-based tech detection API at $29-99/month captures budget from buyers who currently use BuiltWith but would switch for better JS-executed detection at a fraction of the price. The unit economics are favorable (high LTV, low churn once integrated into a sales workflow), and the technical differentiation (full JS execution vs. static analysis) is real and verifiable by any prospect who runs a side-by-side comparison.

21. 20. How to Build One in a Weekend

The stack is minimal. lightpanda handles the hard part.

Infrastructure

1. lightpanda cloud (managed) or self-hosted lightpanda on a small VPS. The managed cloud gives you a CDP endpoint you connect to via Playwright. Self-hosted gives you lower per-request cost at higher operational complexity. Start with managed cloud.
2. Redis for caching. The unavatar model depends on caching: most requests are cache hits, which means near-zero marginal cost. Cache key is the URL (+ relevant parameters). TTL depends on data volatility: logos and brand colors: 7 days; metadata and articles: 24 hours; prices: 1-4 hours.
3. Hono or Fastify as the API server. The request handler: check cache; if miss, dispatch to lightpanda worker; extract data; cache result; return response.
4. Stripe for billing. Metered usage billing with a free tier. The unavatar model ($0.001/non-cached request) is directly replicable.

The Extraction Layer

This is where product differentiation lives. For each data type, you need:

• A primary extraction strategy (structured data first: JSON-LD, meta tags, CSS variables)
• A DOM heuristic fallback (score elements by position, size, class name patterns)
• A quality scoring function (which of multiple candidates is the right one)
• A failure mode (what to return when extraction fails)

For Unlogo specifically: try <link rel="icon"> tags first (prioritize SVG, then PNG, then ICO), then og:image filtered by aspect ratio (wide/short images are logos), then header-positioned <img> elements, then the first SVG in the DOM. Score candidates by: format (SVG > PNG > ICO), resolution, header position, and URL path hints (/logo/, /brand/, /assets/).

The One Non-Technical Problem

Anti-scraping. Most high-traffic sites deploy bot detection (Cloudflare, Akamai, DataDome) that will block naive headless browser requests. lightpanda's lightweight footprint helps (it has a smaller fingerprint than Chrome), but you still need: realistic user-agent rotation, residential proxy support for hard cases, and rate limiting per target domain. The extraction APIs with the lowest anti-scraping friction are Unlogo, Unmeta, and Uncolor; these targets are mostly low-traffic company homepages and blog/article pages that don't invest heavily in bot detection. Unprice and Unstock target e-commerce at scale; anti-scraping is the primary technical risk.