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Generative AI data.
Train and ground your models.

Clean, deduplicated public web data through one API, as structured JSON, datasets or markdown.
The scale and reliability AI teams need, without the infrastructure.

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Trusted by 70,000+ companiesClean, deduplicated datasetsAny source, one API
The live webModel-ready datanews · docs · socialany public sourceCrawlbaseExtractCleanDedupClean datasetStructured JSONMarkdowntraining corpusfields, parsedclean text for RAGlive web · sources fetched · 200
Live extraction feed1.24M req/minStreaming
404walmart.com/ip/55048794AU119ms
200yelp.com/biz/blue-bottle-coffeeJP86ms
200amazon.com/dp/B08N5WRWNWAU66ms
200tripadvisor.com/Restaurants-g60763CA218ms
200target.com/p/-/A-79404211NL152ms
200yelp.com/biz/blue-bottle-coffeeNL171ms
200stackoverflow.com/questions/11227809ES181ms
200linkedin.com/jobs/searchGB75ms
200producthunt.com/posts/notionIN118ms
200linkedin.com/jobs/searchFR160ms
200reddit.com/r/programmingIN64ms
200walmart.com/ip/55048794FR63ms
200github.com/crawlbaseJP89ms
200booking.com/searchresults.html?ss=ParisSG95ms
200reddit.com/r/programmingAU181ms
200indeed.com/jobs?q=developerSG81ms
200ebay.com/itm/204512389011SG179ms
200reddit.com/r/programmingDE96ms
200stackoverflow.com/questions/11227809NL209ms
200zillow.com/homes/for_sale/JP50ms
301target.com/p/-/A-79404211FR72ms
200indeed.com/jobs?q=developerAU105ms
200yelp.com/biz/blue-bottle-coffeeIN88ms
200google.com/search?q=web+scrapingAU114ms
301google.com/search?q=web+scrapingSG197ms
200reddit.com/r/programmingGB146ms
404walmart.com/ip/55048794AU119ms
200yelp.com/biz/blue-bottle-coffeeJP86ms
200amazon.com/dp/B08N5WRWNWAU66ms
200tripadvisor.com/Restaurants-g60763CA218ms
200target.com/p/-/A-79404211NL152ms
200yelp.com/biz/blue-bottle-coffeeNL171ms
200stackoverflow.com/questions/11227809ES181ms
200linkedin.com/jobs/searchGB75ms
200producthunt.com/posts/notionIN118ms
200linkedin.com/jobs/searchFR160ms
200reddit.com/r/programmingIN64ms
200walmart.com/ip/55048794FR63ms
200github.com/crawlbaseJP89ms
200booking.com/searchresults.html?ss=ParisSG95ms
200reddit.com/r/programmingAU181ms
200indeed.com/jobs?q=developerSG81ms
200ebay.com/itm/204512389011SG179ms
200reddit.com/r/programmingDE96ms
200stackoverflow.com/questions/11227809NL209ms
200zillow.com/homes/for_sale/JP50ms
301target.com/p/-/A-79404211FR72ms
200indeed.com/jobs?q=developerAU105ms
200yelp.com/biz/blue-bottle-coffeeIN88ms
200google.com/search?q=web+scrapingAU114ms
301google.com/search?q=web+scrapingSG197ms
200reddit.com/r/programmingGB146ms
01 Why Crawlbase

Built for AI teams who ship fast.

Everything a training or retrieval pipeline needs from the web, handled for you.

quality

Data quality and reliability

Clean, deduplicated datasets with 99.9% uptime. ML-powered filtering removes noise so models train on high-quality content.

integrate

Seamless integration

Ship faster with full docs, SDKs for every major language, and one token across the Crawling API and every scraper.

scale

Scales to millions of pages

From prototype to production, auto-scaling handles your training cycles without infrastructure to run.

formats

The format your pipeline wants

Rendered HTML, structured JSON, or clean markdown for RAG, all from the same call.

sources

Any public source

News, docs, social, commerce and search, reached through 140M residential IPs with anti-bot handling built in.

fresh

Grounded in the now

Every page is crawled live, so models and agents reason over current data, not a stale snapshot.

02 Sample data sources

Unbounded sources for ChatGPT and other LLMs.

A ready scraper for the sources AI teams pull most, plus a generic extractor for everything else.

Amazon

Product details, offers, reviews, SERP and best sellers.

View scraper →

Google

Structured SERP: ads, related results, people also ask and more.

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Facebook

Public pages, groups and profiles as formatted data.

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LinkedIn

Public profiles and company pages, structured.

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eBay

SERP and product pages: names, prices, descriptions.

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AliExpress

SERP and product details: price, availability, reviews.

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Best Buy

SERP and product details: price, ratings, images, reviews.

View scraper →

Quora

Question search results, answers, tags and author detail.

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Airbnb

Listing search results: location, amenities, rating, cost.

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Bing

Structured search results: titles, URLs, descriptions.

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ImmobilienScout24

Property details: title, address, location and cost.

View scraper →

Any website

The generic extractor returns titles, metadata, links and more.

View scraper →
03 Use cases

What teams build with web data.

USE / 01Pretraining

Training corpora

Assemble large, clean, deduplicated text sets from across the web to pretrain and continue-train models.

USE / 02Fine-tuning

Domain datasets

Build focused, structured datasets for a domain or task, parsed to JSON on every crawl.

USE / 03RAG

Fresh retrieval context

Feed clean markdown and rendered pages into retrieval so answers stay current.

USE / 04Agents

Live tools for models

Give agents live web access through the API or the Web MCP Server, grounded in the present.

USE / 05Evaluation

Benchmarks and checks

Pull current pages to evaluate models against real-world, up-to-date content.

USE / 06Intelligence

Market and product signals

Aggregate reviews, prices and public data to inform models, products and strategy.

04 Talk to sales

Ready to power up your AI?

Tell us what you are building and a sales engineer will reach out. For product support, use thesupport page.

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Build on production-ready web data.
Free to start.

Free to begin with up to 20,000 requests. One token for the Crawling API, the Crawler and every scraper.

Start freeTalk to sales