Product / Generative AI Data

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
200booking.com/searchresults.html?ss=ParisUS67ms
200ebay.com/itm/204512389011AU188ms
200walmart.com/ip/55048794IN150ms
200walmart.com/ip/55048794IN97ms
200amazon.com/dp/B08N5WRWNWBR127ms
200indeed.com/jobs?q=developerIN206ms
200yelp.com/biz/blue-bottle-coffeeFR164ms
200booking.com/searchresults.html?ss=ParisAU170ms
200reddit.com/r/programmingJP122ms
301glassdoor.com/Reviews/index.htmFR209ms
200tripadvisor.com/Restaurants-g60763AU57ms
301github.com/crawlbaseGB208ms
200github.com/crawlbaseGB181ms
301glassdoor.com/Reviews/index.htmGB148ms
200walmart.com/ip/55048794DE138ms
200zillow.com/homes/for_sale/CA102ms
200target.com/p/-/A-79404211GB85ms
200yelp.com/biz/blue-bottle-coffeeAU96ms
301linkedin.com/jobs/searchJP120ms
200reddit.com/r/programmingGB157ms
200target.com/p/-/A-79404211NL149ms
200booking.com/searchresults.html?ss=ParisES127ms
200tripadvisor.com/Restaurants-g60763CA107ms
200booking.com/searchresults.html?ss=ParisIN76ms
200target.com/p/-/A-79404211CA171ms
200stackoverflow.com/questions/11227809US46ms
200booking.com/searchresults.html?ss=ParisUS67ms
200ebay.com/itm/204512389011AU188ms
200walmart.com/ip/55048794IN150ms
200walmart.com/ip/55048794IN97ms
200amazon.com/dp/B08N5WRWNWBR127ms
200indeed.com/jobs?q=developerIN206ms
200yelp.com/biz/blue-bottle-coffeeFR164ms
200booking.com/searchresults.html?ss=ParisAU170ms
200reddit.com/r/programmingJP122ms
301glassdoor.com/Reviews/index.htmFR209ms
200tripadvisor.com/Restaurants-g60763AU57ms
301github.com/crawlbaseGB208ms
200github.com/crawlbaseGB181ms
301glassdoor.com/Reviews/index.htmGB148ms
200walmart.com/ip/55048794DE138ms
200zillow.com/homes/for_sale/CA102ms
200target.com/p/-/A-79404211GB85ms
200yelp.com/biz/blue-bottle-coffeeAU96ms
301linkedin.com/jobs/searchJP120ms
200reddit.com/r/programmingGB157ms
200target.com/p/-/A-79404211NL149ms
200booking.com/searchresults.html?ss=ParisES127ms
200tripadvisor.com/Restaurants-g60763CA107ms
200booking.com/searchresults.html?ss=ParisIN76ms
200target.com/p/-/A-79404211CA171ms
200stackoverflow.com/questions/11227809US46ms
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.

View scraper →

LinkedIn

Public profiles and company pages, structured.

View scraper →

eBay

SERP and product pages: names, prices, descriptions.

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AliExpress

SERP and product details: price, availability, reviews.

View scraper →

Best Buy

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

View scraper →

Quora

Question search results, answers, tags and author detail.

View scraper →

Airbnb

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

View scraper →

Bing

Structured search results: titles, URLs, descriptions.

View scraper →

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 5,000 requests. One token for the Crawling API, the Crawler and every scraper.

Start freeTalk to sales