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Scrapio.dev

Web scraping API with JS rendering, proxy management, and 15 dedicated endpoints spanning e-commerce, travel, search/social, apps, and AI answer engines (ChatGPT, Gemini, Perplexity). Free tier available, credit-based pricing.

Scrapio is a developer-first web scraping and data extraction API. A general-purpose /fetch endpoint handles JavaScript rendering, proxy rotation, and session management, returning markdown, HTML, screenshots, or LLM-extracted structured JSON. Beyond generic fetching, Scrapio provides 15 dedicated typed endpoints: e-commerce (Amazon, Walmart, Target), travel (Booking.com, Agoda, Airbnb), search & social (Google, Bing, YouTube, Reddit, TikTok), apps (Apple App Store), and AI answer engines (ChatGPT, Gemini, Perplexity โ€” for tracking brand mentions in AI-generated answers). Also includes native Monitors for scheduled change detection with webhook notifications. Pricing is credit-based and documented per API surface; the Free plan includes 1,000 credits/month with no credit card required.

A startup from the United States.

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Scrapio.dev

Scrapio.dev Reviews and Details

This page is designed to help you find out whether Scrapio.dev is good and if it is the right choice for you.

#Web Scraping #Data Extraction #Data #Web Scraping API #Workflow Automation #AI Tools #AI

Screenshots and images

  • Scrapio.dev Home Page
    Home Page //
    2026-08-04
  • Scrapio.dev Pricing Page
    Pricing Page //
    2026-08-04
  • Scrapio.dev Workflow Template
    Workflow Template //
    2026-08-04
  • Scrapio.dev Course Page
    Course Page //
    2026-08-04

Features & Specs

  1. JS Rendering & Proxy Management

    Render JavaScript and route through datacenter/residential proxies automatically, with no browser infrastructure to host yourself.

  2. Multi-Format Output

    Return markdown, HTML, structured JSON, or a screenshot from the same request.

  3. AI-Backed Extraction

    Turn any page into typed JSON via LLM-backed extraction, included in standard credit pricing rather than billed separately.

  4. Site Crawling

    Spider an entire domain from one or more seed URLs and capture every page reached in a single job.

  5. Browser Interaction

    Drive a real browser through click/type/scroll sequences on dynamic pages before capturing output.

  6. 15 Dedicated Site APIs

    Purpose-built, typed endpoints for Amazon, Walmart, Target, Booking.com, Agoda, Airbnb, Google, Bing, YouTube, Reddit, TikTok, Apple App Store, ChatGPT, Gemini, and Perplexity.

  7. AI Answer-Engine Visibility

    Track whether and how a brand gets mentioned in ChatGPT, Gemini, and Perplexity responses.

  8. Native Monitors

    Schedule a URL and field to watch; get a webhook only when it actually changes, with no cron infrastructure to run yourself.

  9. Transparent Credit Pricing

    Every API surface has a fixed, published credit cost per request instead of a "contact sales" model.

  10. Official SDKs + MCP Server

    Client libraries in TypeScript, Python, Go, Ruby, PHP, and Java, plus an official MCP server for direct AI-agent integration.

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Questions & Answers

As answered by people managing Scrapio.dev.

  1. What makes Scrapio.dev unique?

    The combination of two things competitors don't pair together: dedicated, typed endpoints for 15 real sites (not just generic fetch/crawl) and tracking for whether a brand gets mentioned in ChatGPT, Gemini, and Perplexity answers, the latter being a capability none of the established scraping APIs (Firecrawl, ScrapingBee, ScraperAPI, Bright Data, Apify) currently offer. On top of that, pricing is fully published per API surface with no hidden multipliers, and Monitors ship as a first-class scheduled feature rather than something you build yourself.

  2. Why should a person choose Scrapio.dev over its competitors?

    It depends what they're optimizing for: cheaper entry cost and predictable billing than Bright Data (Starter is $29/mo vs. Bright Data's $499/mo jump from the free tier); markdown/structured JSON output built for LLM pipelines instead of raw HTML like ScraperAPI; flat, published credit costs instead of ScrapingBee's stacking multipliers; and broader dedicated-site coverage plus AI-visibility tracking that Firecrawl doesn't have. In short: teams who want AI-agent-ready output, transparent pricing, and don't want to run their own scheduling/monitoring infrastructure.

  3. How would you describe the primary audience of Scrapio.dev?

    Developers building AI agents, automation workflows, or data pipelines who need structured web data without maintaining scraper infrastructure, plus, increasingly, marketing/SEO teams doing AI-visibility (GEO) tracking now that ChatGPT/Gemini/Perplexity monitoring is a distinct template category. Skews toward small-to-mid teams and solo developers based on the pricing tiers (Free/Starter entry points, no enterprise-only gate).

  4. Which are the primary technologies used for building Scrapio.dev?

    TypeScript, Python and Golang.

  5. Who are some of the biggest customers of Scrapio.dev?

    Scrapio is early-stage and doesn't have named enterprise customers to showcase yet. The teams using it today are primarily solo developers and small engineering teams building AI agents, automation workflows, and data pipelines.

  6. What's the story behind Scrapio.dev?

    I kept hitting the same wall on every project that needed web data: start with a generic scraper, watch it break the moment a site added JavaScript rendering or bot detection, then end up hand-rolling a parser, a proxy rotation layer, and a scheduler, for every single site, every single time. Amazon, Booking.com, YouTube: same problem, different HTML shape, same wasted week. Scrapio started as the tool I wanted to already exist: one API that handles the JS rendering and proxy layer generically, plus dedicated typed endpoints for the specific sites that come up again and again, so the parsing work gets done once instead of every time someone needs it. The AI-visibility tracking (ChatGPT, Gemini, Perplexity) came later, once it became clear that "is my brand even mentioned" was turning into the same kind of recurring, nobody-has-a-clean-way-to-check-this problem, just for AI answers instead of web pages.

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    Check the traffic stats of Scrapio.dev on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.

  • Domain Rating (DR)

    Check the "Domain Rating" of Scrapio.dev on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Scrapio.dev's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.

  • Domain Authority (DA)

    Check the "Domain Authority" of Scrapio.dev on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.

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Is Scrapio.dev good? This is an informative page that will help you find out. Moreover, you can review and discuss Scrapio.dev here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

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