Data Extraction API
Move beyond page access. Turn public web pages into clean, usable data that can power products, dashboards, AI workflows, and internal tools.
AI-ready web data API
ScraperFly fetches, renders, and cleans web pages through one developer-friendly API. Send a URL, choose HTML, Markdown, clean text, JSON, metadata, screenshot, or PDF, and skip the cleanup work between page access and production-ready data.
Product map
ScraperFly combines page delivery, browser rendering, clean content, structured extraction, evidence, and advanced controls so your team can spend less time maintaining scraping infrastructure and more time using web data inside products, AI systems, analytics, and automation.
Move beyond page access. Turn public web pages into clean, usable data that can power products, dashboards, AI workflows, and internal tools.
Feed LLMs, RAG, agents, and internal search with readable content, source context, and metadata instead of raw HTML noise.
Send a URL, choose the output, and get a response you can inspect immediately. Start simple before adding advanced controls.
Request the format your workflow already expects: HTML, Markdown, clean text, JSON, metadata, screenshot, or PDF.
Cut the repetitive parsing, boilerplate removal, formatting, and field-shaping work that usually begins after a scrape succeeds.
Keep easy pages fast, then add rendering, sessions, headers, retries, proxy routing, or premium delivery when a target gets harder.
Ship the first integration faster with clear docs, readable parameters, predictable responses, and examples that map to real workflows.
Start with a simple URL request, then add rendering, sessions, routing, screenshots, or extraction as the target gets more demanding.
Support the workflows companies already budget for: price monitoring, SERP research, catalogs, leads, listings, reviews, and market signals.
Return the context that makes data trustworthy: final URL, status, timing, headers, source metadata, screenshots, and PDF proof.
Get the power of scraping infrastructure without living in a proxy console. Focus on the usable response your product needs.
The core workflow stays memorable: provide a URL, receive clean data, and move it into your app, pipeline, report, or AI system.
Built for useful data
ScraperFly keeps the hard delivery work behind a clean API, then returns the kind of result your workflow can actually use: readable content for AI, structured records for apps, screenshots for proof, and metadata for debugging. You still get rendering, sessions, retries, routing, and headers when a target requires them, but the experience stays focused on the outcome: fewer parsing chores, less platform overhead, and a faster path from URL to production data.
Output formats
Every scraping job ends somewhere different: an AI prompt, a search index, a database record, a monitoring dashboard, a QA review, or a report. ScraperFly lets each request return the right shape from the start, so your team spends less time transforming raw pages and more time shipping useful web data into production.
01 / Data Extraction API
ScraperFly gives your product a direct path from public web pages to data it can actually use. Send a URL, let the API handle delivery, rendering, sessions, retries, and cleanup when needed, then choose the response your workflow expects: HTML, Markdown, clean text, JSON, metadata, screenshot, or PDF. Instead of maintaining proxy infrastructure and post-scrape glue, you get a dependable data extraction layer built for AI, analytics, monitoring, and automation.
02 / AI-ready Web Data
ScraperFly turns messy pages into readable content your LLM, RAG pipeline, agent, or internal search system can use immediately. Pull clean text, Markdown, metadata, and source context from pages that would otherwise arrive full of navigation, ads, repeated boilerplate, and layout noise. Your team gets better inputs for summarization, embeddings, classification, retrieval, and answer verification without building a custom cleanup layer for every source.
03 / One Simple Endpoint
ScraperFly keeps the starting path short: pass a URL, choose the output format, and inspect a clean response without learning a heavy scraping platform first. Use the same endpoint for HTML, Markdown, clean text, JSON, screenshots, PDFs, and metadata, then add rendering, sessions, headers, retries, or routing only when the target page needs more help. The result is an API that feels simple on day one and still has room to handle production targets.
04 / Multiple Output Formats
Your pipeline should not have to start from raw HTML every time. ScraperFly lets you request the output that matches the job: HTML when you need the source, Markdown or clean text when AI needs readable context, JSON when an application needs structured records, and screenshots or PDFs when your team needs proof of the rendered page. The result is less downstream transformation, fewer fragile parsers, and faster movement from scraped page to usable product data.
05 / Less Cleanup Work
A scrape is only valuable when the result is ready to use. ScraperFly helps remove the page clutter that usually slows teams down: navigation, ads, cookie banners, repeated boilerplate, messy layout text, inconsistent fields, and missing context. Instead of building another cleanup pipeline after every successful fetch, you can request cleaner content, structured fields, metadata, and proof in the same workflow and move faster from raw page to product-ready data.
06 / Delivery Controls
Not every request should feel like an enterprise scraping project. With ScraperFly, straightforward pages can stay lean and fast, while tougher targets can use the controls that actually help: JavaScript rendering, sticky sessions, custom headers, retries, country routing, and premium proxy paths. You get a cleaner way to reach the page, render it correctly, and return the expected data without forcing your team to operate the whole delivery layer by hand.
07 / Built for Developers
ScraperFly is designed for teams that want useful web data quickly: open the docs, copy a request, send a URL, and see a response that makes sense. Clear parameters, practical examples, and predictable outputs make the first integration easy to test, while rendering, sessions, headers, retries, routing, extraction, screenshots, and PDFs are ready when your product needs more. You get the speed of a simple API with the depth to support growing production workloads.
08 / Complexity on Demand
ScraperFly lets your workflow progress in natural steps. Begin with a clean URL request and the output you need. If the page relies on JavaScript, add rendering. If the target needs continuity, add sessions or headers. If location, retries, screenshots, PDFs, or structured extraction matter, add those controls without changing the way your team thinks about the API. Simple jobs stay quick, and harder jobs get the support they need without turning every request into a heavy setup.
09 / Classic Scraping Jobs
ScraperFly helps turn public web pages into the inputs behind pricing engines, SEO platforms, sales tools, catalog operations, review monitoring, and market intelligence. Track competitor prices, refresh product data, collect SERP results, enrich leads, monitor listings, analyze reviews, and capture evidence from one data extraction workflow. Your team gets fresh web data in the format each job needs, without stitching together separate scrapers, browsers, proxies, and post-processing scripts.
10 / Metadata and Evidence
Clean content is more valuable when the proof stays attached. ScraperFly can return the source context behind every result: original URL, final URL, status, timing, headers, content type, request options, screenshot proof, PDF capture, and useful page metadata. That gives your AI answers, reports, dashboards, and customer-facing workflows the confidence layer they need, while helping developers debug failures faster and compare page changes over time.
11 / Different From Proxy Tools
ScraperFly keeps the proxy, rendering, session, retry, and routing work behind a clean API so your team can stay focused on the data. Send a URL, choose the result, and get outputs that move straight into your workflow: Markdown for AI, JSON for apps, clean text for search, screenshots for proof, and metadata for debugging. You get the delivery power without turning every project into proxy operations.
12 / URL to Usable Data
ScraperFly turns public web pages into the response your workflow actually needs: readable content for AI, structured JSON for applications, metadata for trust, screenshots for proof, and PDFs for durable records. Start with a simple request, add delivery controls only when a target requires them, and move from page access to production-ready data without building another cleanup pipeline.
Use cases
ScraperFly helps product, AI, SEO, sales, commerce, and intelligence teams turn public pages into clean, structured, evidence-backed data. Use one API to collect the page, handle delivery problems, shape the response, and send reliable web data into the workflows that drive growth.
Keep your AI product grounded in fresh public knowledge. Turn docs, help centers, blogs, research pages, and product content into clean Markdown, text, and metadata your RAG pipeline can trust.
Cleaner AI inputs, faster ingestion, fewer brittle cleanup jobs.
Watch competitor prices, availability, ratings, images, and catalog changes across stores and marketplaces without maintaining a custom scraper for every target.
Fresh pricing and assortment data your team can act on.
Collect SERPs, snippets, landing pages, titles, headings, competitor content, and rendered page states so your SEO workflow can measure visibility with dependable web data.
Turn search pages into rankings, content insights, and alerts.
Give sales and growth teams better account context from company sites, directories, listings, public profiles, descriptions, locations, categories, and market signals.
Richer records, faster qualification, cleaner CRM enrichment.
Follow reviews, forums, articles, listings, product mentions, and market pages to catch sentiment shifts, competitor moves, demand signals, and reputation risks earlier.
Convert noisy public web sources into business signals.FAQ
ScraperFly can return raw HTML, Markdown, clean text, structured JSON, metadata, screenshots, or PDF captures. The goal is to give you the format your app, AI pipeline, analytics workflow, or internal tool can use without building a separate cleanup layer first.
Yes. ScraperFly is positioned for AI-ready web data: Markdown, clean text, source URLs, final URLs, metadata, and proof can be returned close to the content so it is easier to summarize, embed, search, classify, or pass into an agent workflow.
Yes. Raw HTML remains available when you want full control over parsing. You can start with HTML, then switch to Markdown, clean text, JSON, screenshots, or PDFs when your workflow needs a more ready-to-use response.
Yes. For pages that need a browser, ScraperFly should let you enable rendering and related delivery controls. Simple pages can stay simple, while harder targets can use more power only when they require it.
No. Proxy routing, sessions, headers, retries, rendering, and premium delivery controls should live behind the API. You can focus on the data result instead of operating proxy infrastructure every day.
Yes. For product data, listings, articles, profiles, reviews, or other repeatable pages, ScraperFly should help return structured fields such as title, price, rating, author, summary, availability, or metadata in a response your application can store directly.
Use screenshots when you need visual proof, QA, monitoring, or debugging of the rendered page state. Use PDFs when a page should become a portable record for reports, audits, listings, invoices, research, or review workflows.
Useful metadata can include original URL, final URL after redirects, status, timing, content type, request context, headers, screenshot or PDF proof, and source information. That context makes results easier to trust, debug, compare, and reuse.
Common use cases include AI knowledge ingestion, price and catalog monitoring, SEO and SERP intelligence, lead and company enrichment, market research, review tracking, screenshot QA, and content archiving.
The first request should be straightforward: send a URL, choose the output format, and inspect the response. Advanced controls can come later, after you know the target page needs rendering, sessions, custom headers, retries, or premium routing.
Ready web data starts here
Send a URL, choose the output, and move HTML, Markdown, JSON, metadata, screenshots, or PDFs into the workflows that power your product.