ScrapeGraphAI
ScrapeGraphAI turns plain-English prompts into structured JSON through a metered web-scraping API for developers and AI pipelines.
If your team already writes code, ScrapeGraphAI skips the selector-maintenance tax that eats weeks on every site redesign. The per-endpoint credit math is published on the pricing page — markdown scrape at 1 credit, extract at 5, search at 2-5 per result, with the stealth toggle adding 5 — so you can forecast spend before signing anything. It is a poor fit if nobody on the team wants to touch an API, or if procurement requires an installed deployment. Against named alternatives like Apify or Bright Data, it wins on prompt-first extraction and agent-framework integrations, and loses on point-and-click templates and self-hosting.
Verified 15d ago · liveness 83/100 · cite: rightaichoice.com/tools/scrapegraphai
- Developers replacing fragile CSS/XPath selectors with prompt-based extraction
- AI teams feeding live web content into RAG pipelines and agent frameworks
- Data engineers who need structured JSON from many sites on a metered API
- Teams watching competitor pricing, inventory, or brand mentions with change webhooks
- Non-technical users who want a point-and-click scraping template gallery
- Bulk one-off scrapes of very large sites where per-page credits compound
- Organizations that require a self-hosted or installed deployment
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Skip ScrapeGraphAI if your team wants a point-and-click template gallery rather than an API, or if procurement requires an installed, self-hosted deployment rather than a cloud service.
Crawling a site with the stealth toggle on adds 5 credits to every page, so a deep crawl of a few hundred pages eats thousands of credits.
The $20/mo Starter tier fits a solo developer or small team prototyping an extraction pipeline; $100/mo Growth suits a startup running daily crawls; $500/mo Pro is for data teams pushing roughly 750,000 credits a month. Against seat-priced managed-scraping platforms, the meter keeps entry costs low, but above the Pro ceiling you move to Enterprise custom pricing.
In short
ScrapeGraphAI — ScrapeGraphAI turns plain-English prompts into structured JSON through a metered web-scraping API for developers and AI pipelines. Best for Developers replacing fragile CSS/XPath selectors with prompt-based extraction, AI teams feeding live web content into RAG pipelines and agent frameworks, Data engineers who need structured JSON from many sites on a metered API. Free to start; paid plans from $5.
What's new in ScrapeGraphAI
Checked 7 days agoAcross the latest 5 updates: 2 feature updates, 2 changelog entries and 1 news mention.
v3.5.0: Search now supports MIME allowlists and configurable PDF page limits
Search can now be restricted by MIME type and PDF extraction limits are configurable. PDF processing is billed by pages processed, with matching estimates in the playground.
v3.4.2: Reduced the error rate for social network scraping
Social-network scraping error rates dropped and the landing page was refreshed with a new animation.
v3.4.1: Improved service reliability, especially DNS handling
Reliability work focused on DNS handling and broader site support.
ScrapeGraphAI MCP Server: Give Your AI the Web
Guide to connecting Claude, Cursor, and any MCP client to live web data via the ScrapeGraphAI MCP server.
v3.4.0: Workspaces for team collaboration
Teams can create and switch between separate workspaces, useful for separating client or project data.
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.
Average across the 1 source that answered — each source counts once, not each post.
- +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: October 2026
How we score →Key Features
- Natural-language prompt to structured JSON extraction
- Scrape any URL to markdown, HTML, links, images, summary, JSON, or screenshot
- Branding analysis endpoint at 25 credits per page
- Web search with data extraction from results in one call
- Website crawling with configurable depth, breadth, and max pages
- Page change monitoring with webhook notifications
- Stealth toggle for anti-bot bypass (+5 credits per call)
- PDF processing at 1 credit per page with 25-page default cap
- Search MIME allowlists and configurable PDF page limits (v3.5.0)
- Team workspaces for collaboration (v3.4.0)
- MCP server for Claude and Cursor
- Python and JavaScript SDKs
- Automatic credit top-ups with custom threshold and quantity
- Render modes: auto / fast / js (no credit change)
- Credit calculator and prompt playground with JSON schema editor
About ScrapeGraphAI
ScrapeGraphAI is an API-first web scraping service that replaces CSS and XPath selectors with natural-language prompts. You point it at a URL, describe the fields you want, and it returns structured JSON, markdown, HTML, screenshots, or branding analysis. The API covers five jobs: scrape a page, extract structured fields with prompts, run a web search and pull data from the results in one call, crawl a whole site with configurable depth and breadth, and monitor pages for changes with webhook alerts. Recent releases added MIME allowlists and configurable PDF page limits in search (v3.5.0, July 30 2026), team workspaces (v3.4.0, June 23 2026), a LiteLLM integration (v3.3.3, June 8 2026), and lower social-network scraping error rates (v3.4.2). Billing is metered per endpoint, not per seat: Scrape starts at 1 credit for markdown, Extract is 5 credits, Search costs 2 credits per result without a prompt or 5 with one, and the stealth toggle adds 5 credits on any call. Subscriptions run from a free 500-credit tier to $500/month for 750,000 credits, and one-time packs from $5 to $150 stack on top without expiring. Engineers get Python and JavaScript SDKs plus integrations with LangChain, CrewAI, LlamaIndex, the Vercel AI SDK, and LiteLLM. Compared with managed scraping platforms that sell seats and dashboards, ScrapeGraphAI is narrower and cheaper to start.
Behind the Verdict
ScrapeGraphAI lives in an unusual spot: it is narrower than a full managed-scraping platform but wider than a single-purpose extraction library. The pitch is straightforward — you describe the fields you want in plain English and the API returns structured JSON instead of leaving you to maintain CSS or XPath selectors that break on every redesign. Strengths. The five endpoints cover the common shapes of web-data work. Scrape converts any URL to markdown, HTML, screenshots, links, images, summary, or branding analysis; Extract returns structured fields from a page via prompt; Search runs a web search and extracts from the results in one call; Crawl walks a site with configurable depth, breadth, and max pages; Monitor watches a page and fires a webhook when it changes. Pricing is metered by endpoint, not by seat. Scrape starts at 1 credit for markdown, Extract is 5, Search is 2 credits per result without a prompt and 5 with one, the stealth toggle adds 5 credits on any call, crawl is 2 startup credits plus per-page scrape cost, and PDF processing is 1 credit per page with a 25-page default cap. Published plans run Free ($0, 500 one-time credits, 10 requests/min, 1 monitor, 1 concurrent crawl), Starter ($20/mo, 10,000 credits, 100 req/min), Growth ($100/mo, 100,000 credits, 500 req/min, basic proxy rotation), Pro ($500/mo, 750,000 credits, 5,000 req/min, advanced proxy rotation, priority support), and Enterprise (custom credits, custom rate limits, SLA). One-time top-ups of $5 (1,000 credits), $40 (10,000), and $150 (50,000) never expire and stack on the subscription. The stack integrations are the useful part for AI teams: LangChain, CrewAI, LlamaIndex, the Vercel AI SDK, LiteLLM, n8n, Make.com, Smithery, and an MCP server for Claude and Cursor. Team workspaces shipped in v3.4.0 (June 23 2026), and search gained MIME allowlists and configurable PDF page limits in v3.5.0 (July 30 2026). Weaknesses. It is a cloud API — there is no documented self-hosted or offline mode, so air-gapped environments are out. Credit usage compounds quickly at scale: crawling a site with stealth on applies the +5 modifier to every page, and branding analysis costs 25 credits per page rather than the 1 credit markdown costs. The free tier's 500 credits are one-time, not monthly, so prototyping is finite. Rate limits and concurrency caps step up per plan (10 to 5,000 requests/min; 1 to 50 concurrent crawls), which matters for high-throughput pipelines. Where it fits. Engineering teams feeding live web data into RAG pipelines or agent frameworks, data engineers who need structured JSON from many sites on a predictable meter, and teams that want to watch competitor pricing or brand mentions with change webhooks. Where it does not: non-technical users who want a point-and-click template gallery, buyers who need fixed seat pricing, and anyone who requires an installed deployment.
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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.
Sign up for the free tier's 500 one-time credits, open the playground, paste a competitor pricing URL, write a prompt for plan name, price, and features, and pin the JSON schema editor to freeze the output shape. Swap the playground request for the Python SDK call and run it on a cron.
Outcome: A nightly job that writes structured pricing JSON into a database, at 5 credits per extract call, with no selectors to maintain when the competitor redesigns their page.
Connect the MCP server to Claude or Cursor for ad-hoc lookups, and use the LangChain or LlamaIndex integration for the production pipeline. Crawl docs sites with smartcrawler at depth 2 and breadth 5, converting pages to markdown before chunking.
Outcome: A RAG index that refreshes from live pages, with crawl cost calculated up front as 2 startup credits plus 1 credit per page in markdown.
Create a monitor on each tracked page after upgrading to a paid tier (the free plan allows only 1 monitor). Point the webhook at a Slack or Zapier endpoint so a change fires an alert.
Outcome: Change alerts land in Slack without anyone polling pages manually; each detected change costs the format base plus stealth modifier plus the 5-credit change bonus.
Use Cases
- Scrape competitor pricing pages into structured JSON on a weekly schedule
- Extract product specs from e-commerce sites for market analysis
- Monitor news sites or blogs for keyword changes and route alerts to Slack via webhook
- Crawl dozens of docs sites and convert them to markdown for a knowledge base
- Search the web for leads and extract contact info in a single API call
- Feed live web data into a RAG pipeline with LangChain or LlamaIndex
- Give a Claude or Cursor agent live web access through the MCP server
- Watch a page and fire a webhook the moment its content changes
Limitations
- ScrapeGraphAI is a cloud API — there is no documented self-hosted, on-premise, or offline mode, so air-gapped environments cannot use it.
- Billing is credit-metered per endpoint and the stealth toggle adds 5 credits to every call it is applied to, so high-volume crawls with stealth on compound fast.
- Rate limits and concurrency caps step up per plan (10 to 5,000 requests/min; 1 to 50 concurrent crawls), which constrains high-throughput pipelines on lower tiers.
- The free tier's 500 credits are one-time rather than monthly, so prototyping is finite.
as of 2026-09-23
Verification history
We have re-verified ScrapeGraphAI 9 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-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
- — re-checked, vendor evidence unchanged
Showing the 6 most recent of 9 verification passes.
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
Developers testing a prompt and JSON schema in the playground before committing to a plan
What this tier adds
Free entry point: 500 one-time credits, 10 requests/min, 1 monitor, 1 concurrent crawl
Starter
$20/mo
Ideal for
Solo developers and small teams running a nightly scrape or a handful of extraction jobs
What this tier adds
First paid tier: 10,000 monthly credits, 100 requests/min, 5 monitors, 3 concurrent crawls
Growth
$100/mo
Ideal for
Startups running daily crawls and multiple monitors across several sites
What this tier adds
10x credits over Starter, adds basic proxy rotation and 25 monitors at 500 requests/min
Pro
$500/mo
Ideal for
Data teams pushing roughly 750,000 credits a month with high concurrency needs
What this tier adds
Adds advanced proxy rotation and priority support at 5,000 requests/min and 50 concurrent crawls
Enterprise
Custom
Ideal for
Large organizations needing an SLA and negotiated rate limits
What this tier adds
Custom credits and rate limits plus dedicated support and an SLA guarantee
Small top-up
$5 one-time
Ideal for
Anyone who has burned through the free credits and wants a small non-expiring buffer
What this tier adds
1,000 credits at $5, never expires, stacks on any subscription
Medium top-up
$40 one-time
Ideal for
Teams with occasional spikes above their monthly plan quota
What this tier adds
10,000 credits at $4.00 per 1k, cheaper per credit than the small pack
Large top-up
$150 one-time
Ideal for
High-volume users who want the lowest per-credit rate without raising their subscription tier
What this tier adds
50,000 credits at $3.00 per 1k, the cheapest per-credit pack available
Where the pricing makes sense
The company stage and team size where ScrapeGraphAI's pricing actually pencils out — and where peers do it cheaper.
The $20/mo Starter tier fits a solo developer or small team prototyping an extraction pipeline; $100/mo Growth suits a startup running daily crawls; $500/mo Pro is for data teams pushing roughly 750,000 credits a month. Against seat-priced managed-scraping platforms, the meter keeps entry costs low, but above the Pro ceiling you move to Enterprise custom pricing.
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.
A developer with an API key can get a first structured extract from the playground in about ten minutes and a working SDK call in under half an hour. Wiring a crawl or monitor into a production pipeline, including webhook routing, typically takes an afternoon. Non-technical users without API experience should expect to need a developer's help before first value.
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 hand-rolled CSS/XPath scraper: replace selectors with a prompt and JSON schema in the playground, then port the call to the Python or JavaScript SDK.
- →From Apify or another managed-scraping platform: keep your scheduler and swap the actor call for a ScrapeGraphAI scrape, extract, or crawl endpoint.
- →From a browser-automation script: move the fetch-and-parse step to the Scrape endpoint and add the stealth toggle on sites that block headless browsers.
- →From manual copy-paste research: create a monitor on the page and route the change webhook into your existing alerting.
- ↗To a self-hosted stack: there is no documented on-premise option, so you would rebuild extraction on an open-source library and host it yourself.
- ↗To a seat-priced managed platform: if you need a template gallery and dashboards rather than an API, switch to a UI-first scraping product.
- ↗To a general-purpose LLM API: if your extraction volume is low, calling a model directly with fetched HTML may be cheaper than paying per-credit.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “ScrapeGraphAI”, and we withheld 5: 5 could not be judged, because “ScrapeGraphAI” is a single word that other videos use for other things. Showing the 1 we can prove is about ScrapeGraphAI.
Official links
Tools that pair well with ScrapeGraphAI
Common stack mates teams adopt alongside ScrapeGraphAI, with the specific reason each pairing earns its keep.
Riveter
Riveter turns plain-language prompts into finished, structured web datasets through one AI-agent API.
Spider Cloud
Spider Cloud is a web scraping and crawling API that turns live pages into markdown or JSON for agents and RAG pipelines.
Thunderbit
AI web scraper Chrome and Edge extension that turns a page into a structured table from a plain-English description — no CSS selectors.
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 all
Riveter
Riveter turns plain-language prompts into finished, structured web datasets through one AI-agent API.
Spider Cloud
Spider Cloud is a web scraping and crawling API that turns live pages into markdown or JSON for agents and RAG pipelines.
Thunderbit
AI web scraper Chrome and Edge extension that turns a page into a structured table from a plain-English description — no CSS selectors.
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