ScrapeGraphAI
AI web scraping API that turns natural-language prompts into structured JSON.
A tight, developer-focused tool that cuts out selector maintenance and fits naturally into AI agent stacks. The credit system is clearer than most, and the free tier is a genuine trial. Heavy users will hit the paid tiers fast, but the value is real for teams shipping automated pipelines. Non-technical users should look elsewhere.
Verified 7d ago · liveness 83/100 · cite: rightaichoice.com/tools/scrapegraphai
- Developers automating web data extraction without maintaining fragile CSS/XPath selectors
- AI/ML teams building RAG pipelines using live web content
- Data analysts who need structured data from multiple websites at scale
- Businesses monitoring competitor pages, brand mentions, or price changes
- Non-technical users who prefer a visual, point-and-click scraper interface
- Projects that require offline scraping without internet access
- High-volume scraping exceeding Pro plan's 750k credits/month (needs Enterprise)
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Skip ScrapeGraphAI if you need a visual, point-and-click scraper, require offline or on-premises deployment, or have a very low scraping volume where the free tier's 500 credits won't last you a day.
Going past the free tier's 500 one-time credits means you'll need a paid plan, with Starter at $20/month for 10,000 credits.
ScrapeGraphAI's credit-based pricing is competitive for dev teams, with a free tier to test. Compared to alternatives like Octoparse or Apify, which charge per crawler or compute unit, ScrapeGraphAI's credit system can be more flexible for AI-driven extraction, but heavy users can hit Pro-tier costs quickly.
In short
ScrapeGraphAI — AI web scraping API that turns natural-language prompts into structured JSON. Best for Developers automating web data extraction without maintaining fragile CSS/XPath selectors, AI/ML teams building RAG pipelines using live web content, Data analysts who need structured data from multiple websites at scale. Free to start; paid plans from $20/mo.
What's new in ScrapeGraphAI
Checked 4 days agoAcross the latest 5 updates: 3 feature updates and 2 changelog entries.
v3.5.0: MIME allowlists and PDF page limits
Search now supports MIME allowlists and configurable PDF page limits, with PDF processing billed by pages processed and matching estimates in the playground.
v3.4.2: Improved social network scraping and landing page animation
Reduced error rate for social network scraping, updated landing page with new animation, and removed a graphic glitch.
v3.4.0: Team Workspaces
Introduced workspaces, allowing users to create and switch between separate team workspaces for better collaboration.
v3.3.3: LiteLLM integration and OCR improvements
Added LiteLLM integration with a new guide, and improved OCR accuracy and reliability.
v3.3.2: New guides for CLI, MCP server, and Vercel AI SDK
Added new guides for the CLI, MCP server, and Vercel AI SDK, and improved OCR accuracy and reliability.
What people actually say about ScrapeGraphAI — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
11 mentions across 1 source (Hacker News) · researched Jul 3, 2026.
- +AI-powered scraping eliminates brittle CSS/XPath selectors.
- +Natural language prompts make extracting structured data simple.
- +Graph-based pipeline adapts to dynamic, changing websites.
- +Integrates with LangChain, CrewAI, LlamaIndex, and automation tools.
- +SOC 2 Type I compliance for enterprise data security.
- −Only 11 Hacker News posts available; no independent community feedback.
- −Free tier provides only 500 one-time credits, insufficient for evaluation.
- −Paid plans start at $20/month, potentially expensive for light use.
- −Reliability at scale not independently verified.
- −Dependence on third-party LLMs may introduce unpredictability.
- • Credit packs expire? (top-up packs say never expire)
- • Stealth mode may cost extra credits
- • Auto-recharge can lead to unexpected charges
Viability Score
How well maintained and how widely used is ScrapeGraphAI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Natural-language prompts to structured JSON extraction
- Scrape URLs to markdown, HTML, screenshots, or branding analysis
- Search the web and extract results in one API call
- Crawl websites with configurable depth, breadth, and max pages
- Monitor pages for changes with webhook notifications
- Stealth mode for anti-bot bypass (+5 credits per request)
- PDF processing with configurable page limits (v3.5.0)
- MIME allowlists for search results (v3.5.0)
- Team workspaces for collaboration (v3.4.0)
- JSON schema editor in Playground
- Automatic credit top-ups and pay-per-usage billing
- SOC 2 Type II compliance
- CLI tool for terminal-based scraping
- MCP server for Claude, Cursor, and other MCP clients
- Python SDK and JavaScript SDK
About ScrapeGraphAI
ScrapeGraphAI is a developer-first web scraping API that replaces brittle CSS and XPath selectors with natural-language prompts. You describe the data you need—product prices, reviews, contact details—and the API returns structured JSON, markdown, HTML, or screenshots. It's built for developers and data teams automating extraction at scale, with a credit-based pricing model that's transparent and predictable. The platform bundles five core capabilities in one API: scrape any URL to markdown, HTML, or screenshots; extract structured data with natural-language prompts; search the web and pull results in a single call; crawl entire sites with configurable depth and breadth; and monitor pages for changes with webhook notifications. Recent versions add MIME allowlists for search and configurable PDF page limits (v3.5.0), team workspaces for collaboration (v3.4.0), and improved social media scraping and OCR accuracy (v3.3.x/3.4.2). Integrations span the AI ecosystem: Python and JavaScript SDKs, LangChain, CrewAI, LlamaIndex, Vercel AI SDK, LiteLLM, n8n, Zapier, Make, and an MCP server for Claude and Cursor. A playground lets you test prompts interactively, and stealth mode adds anti-bot bypass for tricky targets. SOC 2 Type II compliance covers enterprise security needs. Pricing runs on credits: a free tier offers 500 one-time credits; paid plans start at $20/month for 10,000 monthly credits, scaling to 750,000 credits on the Pro tier. Credit packs never expire and stack on subscriptions. For non-technical users, a no-code visual interface is still missing—this is a tool for engineers who want an API-first workflow and are comfortable with credit math.
Behind the Verdict
ScrapeGraphAI makes a strong case for teams tired of writing and debugging scraper selectors. If your job involves pulling structured data from many sites into a pipeline—think RAG, price monitoring, or lead enrichment—the prompt-to-JSON approach removes a whole class of maintenance. The credit model is refreshingly transparent: every endpoint has a fixed base cost, and the calculator shows you exactly what a request will run before you send it. Where it shines is integration. LangChain, CrewAI, LlamaIndex, Vercel AI SDK, and an MCP server for Claude and Cursor—if you're building agents, this slots in without friction. The Python and JavaScript SDKs are solid, and the CLI is handy for quick tests. The playground is a nice touch for prototyping prompts without spinning up a script. Where it bites: credits add up. The free 500 one-time credits evaporate fast, and the Starter's 10,000 monthly credits at $20 can disappear with heavy crawling or stealth mode. The Pro plan's 750,000 credits sound generous until you factor in complex crawls. For that scale, you might compare against Firecrawl or Apify, which offer similar credit models but broader no-code options—yet ScrapeGraphAI's prompt-first API is arguably simpler. Compared to building scrapers in-house, this is a no-brainer for speed of iteration, but it's not the cheapest route for bulk scraping. If your volume is high and sites are stable, a traditional scraper framework might be more economical. For AI workflow builders, the ease of integration usually justifies the cost. One caveat: it's cloud-only. No self-hosted or on-premise option, which rules out strict data-residency requirements. Non-technical users will struggle without a visual builder—this is squarely for developers. In practice, we'd reach for
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Real-world workflow fit
Concrete scenarios for the personas ScrapeGraphAI actually fits — and what changes day-one when you adopt it.
You want to track pricing on a dozen product pages and get alerts when prices change.
Outcome: Using the Monitor endpoint, you set up a monitor for each URL, and whenever a change is detected, you receive a webhook. With the free tier's single monitor, you can test it, then upgrade to Starter for 5 monitors and 10,000 credits to run it weekly.
You need to pull up-to-date content from several documentation sites and feed it into your LLM application.
Outcome: Use the Crawl endpoint to convert docs to markdown, then use the LangChain integration to load the data into your vector store. The Starter plan's 100 requests/min and 10,000 credits cover a full crawl of a few small sites.
You're building a Claude skill that needs live web data, and you want to avoid building a scraper from scratch.
Outcome: Set up the MCP server (hosted or local) to connect Claude to ScrapeGraphAI. Then, when your skill needs recent information, it calls the Scrape or Search endpoint to fetch and structure the data, all via the MCP protocol.
Use Cases
- Scrape competitor pricing pages into structured JSON weekly
- Extract product specs from e-commerce sites for market analysis
- Monitor news sites or blogs for keyword changes and get Slack alerts
- Build a knowledge base by crawling dozens of docs sites and converting to markdown
- Search the web for leads and extract contact info in a single API call
- Automate data collection for AI training using natural language prompts
- Feed live web data into a RAG pipeline with LangChain or LlamaIndex
- Enable AI assistants to browse the web through the MCP server
Limitations
- No underlying AI model is mentioned in the provided documentation or changelog; the service uses natural-language processing but the specific model is not disclosed.
- The tool offers API-based scraping, extraction, search, and crawling with credit-based pricing and rate limits that scale by plan.
- Notably, no offline or on-premises deployment is mentioned; it is a cloud API service.
- Free tier provides only 500 one-time credits, and stealth mode adds a flat +5 credits per request.
as of 2026-08-11
Verification history
We have re-verified ScrapeGraphAI 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published ScrapeGraphAI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Individual developers or students who want to test the API and build a quick prototype with 500 one-time credits.
What this tier adds
Starting tier with 500 one-time credits, 10 req/min, 1 monitor, and 1 concurrent crawl.
Starter
$20/mo
Ideal for
Freelancers or small projects that need regular scraping but not massive volume, with 10,000 monthly credits.
What this tier adds
Adds 10,000 monthly credits, 100 req/min, 5 monitors, and 3 concurrent crawls.
Growth
$100/mo
Ideal for
Growing businesses that need to scale up, with 100,000 monthly credits and basic proxy rotation.
What this tier adds
Increases to 100,000 credits, 500 req/min, 25 monitors, 15 concurrent crawls, and adds Basic Proxy Rotation.
Pro
$500/mo
Ideal for
Data-driven teams with heavy scraping needs, offering 750,000 monthly credits and advanced features.
What this tier adds
Jumps to 750,000 credits, 5,000 req/min, 100 monitors, 50 concurrent crawls, plus Advanced Proxy Rotation and priority support.
Enterprise
Custom
Ideal for
Large organizations that need custom rate limits, SLA guarantees, and dedicated support.
What this tier adds
Custom billing with ad-hoc credits, custom rate limits, dedicated support, and SLA guarantee.
Where the pricing makes sense
The company stage and team size where ScrapeGraphAI's pricing actually pencils out — and where peers do it cheaper.
ScrapeGraphAI's credit-based pricing is competitive for dev teams, with a free tier to test. Compared to alternatives like Octoparse or Apify, which charge per crawler or compute unit, ScrapeGraphAI's credit system can be more flexible for AI-driven extraction, but heavy users can hit Pro-tier costs quickly.
Setup time & first value
How long it actually takes to get something useful out of ScrapeGraphAI — broken out by persona, not the marketing-page minute.
For developers, getting first value is fast: sign up, grab an API key from the dashboard, and make a test call in under 10 minutes. The Playground lets you test prompts without writing code. Advanced setups like MCP server or CLI take 15-30 minutes to configure, while team workspaces take a few minutes to set up.
Switching to or from ScrapeGraphAI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a custom scraper (BeautifulSoup/Scrapy): Replace your parsing logic with natural-language prompts and start by extracting the same fields from a few test URLs.
- →From a browser-based scraper like Octoparse: Export your task list and replicate the extraction rules using ScrapeGraphAI's Extract endpoint, transitioning from visual workflows to API calls.
- ↗To an open-source alternative like Scrapy or Playwright: Export your extraction schemas and write explicit selectors, which may require significant rework but gives you more control and no per-request cost.
- ↗To a full-featured scraping platform like Apify or Octoparse if you need hosted visual workflows and a broader ecosystem.
Integrations
Resources & Guides
- Resourcescrapegraphai.com
Blog · ScrapeGraphAI
Helpful link from scrapegraphai.com
- Resourcescrapegraphai.com
Changelog · ScrapeGraphAI
Helpful link from scrapegraphai.com
- Resourcescrapegraphai.com
Compare · ScrapeGraphAI
Helpful link from scrapegraphai.com
- Resourcescrapegraphai.com
Glossary · ScrapeGraphAI
Helpful link from scrapegraphai.com
Tutorials & Learning
Tools that pair well with ScrapeGraphAI
Common stack mates teams adopt alongside ScrapeGraphAI, with the specific reason each pairing earns its keep.
Spider Cloud
AI web scraping API that turns any site into markdown or JSON for AI agents, pay-as-you-go or flat-rate.
Thunderbit
One-click AI web scraper extension that turns any page into structured data — no CSS selectors.
Scraperai
Free open-source AI CLI that turns web pages into reusable, shareable scraping configs.
Featured Head-to-Head Comparisons
Scrapegraphai vs Spider Cloud
For AI agents and RAG pipelines needing ultra-low-cost, high-speed crawling at scale, Spider Cloud is the clear winner with its $0.03/1k pages and Rust engine. For developers who prefer natural language extraction and team collaboration, ScrapeGraphAI offers more flexibility with graph-based pipelines and workspace features. Consider your budget and technical approach: cost-efficiency vs prompt-driven ease.
Scrapegraphai vs Temporal Ai
Choose Temporal AI if you need a rock-solid orchestration platform for long-running, fault-tolerant workflows or AI agents. Choose ScrapeGraphAI if your primary need is AI-driven web scraping to extract structured data at scale. They solve fundamentally different problems — pick based on whether you need to orchestrate or scrape.
Scrapegraphai vs Screenplayiq
If you need AI-powered script analysis with box office forecasting, ScreenplayIQ is your only choice. For automated web data extraction using natural language, ScrapeGraphAI leads with generous integrations and credit-based pricing. They solve completely different problems—evaluate which domain matches your work.
Alternatives to ScrapeGraphAI
View allSpider Cloud
AI web scraping API that turns any site into markdown or JSON for AI agents, pay-as-you-go or flat-rate.
Thunderbit
One-click AI web scraper extension that turns any page into structured data — no CSS selectors.
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