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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SocialScrape
SocialScrape is a hosted API for retrieving structured data from public social media. Developers can request profile information, posts, comments, search results and, where available, video transcripts through one API, with normalized JSON responses designed to simplify cross-platform applications. The service also provides monitors for profiles, channels and searches that send newly detected content to customer webhooks. API keys and credit-based billing are managed through a web dashboard, with monthly subscriptions and one-time credit packs. An MCP server and an n8n community node let users connect SocialScrape to AI clients and automation workflows. Typical applications include social listening, creator analytics, brand monitoring, research and AI agents. Available data and endpoints vary by platform; only publicly accessible content is offered, and some endpoints are identified as planned rather than currently available.
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Scrape.ly
Scrape.ly is a cloud-based platform for collecting structured information from public websites. Users choose ready-made Actors for sources such as search engines, maps, marketplaces and social platforms, or build and publish their own scrapers. Actors run in the hosted service, returning structured datasets for download or programmatic access through the REST API. The platform supports scheduled runs and provides JavaScript and Python SDKs, a command-line interface, and a hosted Model Context Protocol server for connecting supported AI assistants and coding tools. Integration options include workflow automation services and data destinations such as Google Sheets. Teams use Scrape.ly for lead research, product and price monitoring, review tracking, market research, and supplying web data to AI applications. Proxy handling, browser automation, retries and scaling are managed through the cloud platform.
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Irmu
Irmu is a hosted web-data service that provides a REST API for retrieving and processing public web pages. Its crawl endpoint can render JavaScript in a headless browser, route requests through proxy pools, and return page content; AI extraction can structure selected information as JSON. Browser recipes support multi-step interactions such as clicking, form entry, pagination, and extraction, while a separate endpoint captures full-page screenshots. Dedicated endpoints retrieve ChatGPT answers with citations, Google's AI Overviews, and Booking.com search or property data. The service includes API-key authentication, SDKs, documentation, usage tracking, credit-based billing, and geotargeting. Developers and data teams can use it for data collection, lead generation, market research, price and SEO monitoring, and competitive intelligence. A free plan includes 200 monthly credits; paid plans add larger credit allowances.
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