FineData.ai
FineData.ai is a hosted web-scraping API and MCP server for developers and AI-agent workflows that need data from public or authorized web pages. Send a URL through REST or an MCP client to retrieve page content as Markdown, text, links, screenshots, or raw HTML, or request structured JSON using selectors, a JSON schema, or an extraction prompt. Optional browser rendering, proxy routing, country targeting, CAPTCHA handling, asynchronous jobs, and batch requests support pages and collection tasks with differing requirements. Documented use cases include price and catalog monitoring, property listings, market research, lead generation, and search-results tracking for users’ own domains. Usage is metered in tokens; failed scrapes are not billed. The API supports Python, JavaScript, and standard HTTP clients, while the MCP server connects with clients such as Cursor and Claude Desktop.
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ScrapeGuys
ScrapeGuys is a managed web-scraping API. Instead of building and maintaining in-house scrapers, teams call a versioned JSON API and get clean, normalized data back.
The platform handles anti-bot defenses, residential proxy exits across 11 regions, retries and async job queues. Average job completion is 3-5 seconds, with batch calls of up to 20 requests, deterministic hotel lookups via Google Place IDs, and usage analytics with quota tracking. An MCP integration is available on request so AI agents can query the data layer directly.
The current catalog is travel-heavy - Google Flights, Google Hotels, Booking.com, Agoda, MakeMyTrip, Expedia - but the platform is target-agnostic. E-commerce price and SKU intelligence and custom enterprise targets are built on request.
Free for one week at 100 requests/day with no credit card. Growth starts at $199/month for up to 1,000 requests/day; Enterprise is custom-priced with unlimited volume.
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ScrapingAnt
ScrapingAnt is an enterprise‑grade web scraping API that delivers mission‑critical speed, reliability, and advanced scraping capabilities through a single, easy‑to‑integrate RESTful interface. It combines scalable headless Chrome page rendering with unlimited parallel requests, all powered by a global pool of over three million low‑latency rotating residential and datacenter proxies. Its proprietary algorithm automatically switches to the optimal proxy for each task, ensuring seamless JavaScript execution, custom cookie management, and robust CAPTCHA avoidance. Built on high‑performance AWS and Hetzner servers, ScrapingAnt boasts 99.99% uptime and an 85.5% anti‑scraping avoidance rate. Developers can use any programming language to harvest LLM‑ready web data, scrape Google SERP results, or collect dynamic content behind Cloudflare and other anti‑bot protections without worrying about rate limits or infrastructure maintenance.
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OpenGraph
OpenGraph.io is a developer-focused web API service that fetches and returns structured metadata from any given URL, primarily Open Graph tags such as title, description, image, and other relevant page information, so applications can generate rich link previews, embed contextual content, and automate metadata extraction without building custom scrapers. It works even on pages that lack well-defined Open Graph tags by inferring missing values from the page’s HTML, and offers different endpoint capabilities, including pure Open Graph tag extraction, more extensive content extraction (headers, paragraphs, structured page text), full HTML scraping with JavaScript rendering support, and high-speed screenshot capture for visual previews of web pages. The API returns data in a consistent JSON format tailored for integration into workflows, dashboards, apps, and marketing or content platforms, and developers can call it programmatically using API keys with SDKs or standard HTTP requests.
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