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Common CrawlMost Popular

Nonprofit open web archive with 9.5 PB of data – the foundational dataset behind 64% of major LLMs including GPT-3.

Nathan Kessler
By Nathan KesslerUpdated

Each tool is evaluated against our methodology using public docs, vendor demos, and hands-on testing.

Independent web indexes maintain their own crawl of the web, separate from Google or Bing. This independence is valuable for AI applications that need unbiased search results, want to avoid rate limits on commercial search engines, or need specialized coverage. Several of these indexes are open source, allowing full transparency into how results are ranked.

Features

JS Rendering
Structured Output
Open Source
Self-Hosted Option
Pricing:Free

Editorial assessment

The bedrock of the modern AI era – 80%+ of GPT-3's training tokens came from Common Crawl. 9.5 PB of freely available web data, 2.4B pages crawled monthly. Not an API you query for search results. This is a massive archive you download and process yourself, requiring significant compute infrastructure. Free in cost, expensive in engineering.

How Common Crawl compares

Brave Search API

Brave Search API provides a queryable index with API access, no infrastructure needed.

Mojeek

Mojeek provides a smaller but queryable independent index via API.

Webz.io

Webz.io pre-processes Common Crawl-scale data into queryable feeds for teams that can't run their own infrastructure.

Frequently asked questions

Is Common Crawl free?

Yes. Common Crawl is a 501(c)(3) nonprofit that releases its web archive for free. Anyone can download the data without a license fee or an account. The cost is not the data itself but the compute and storage needed to process it. The corpus is hosted on AWS S3, so you pay your own transfer and processing bills if you pull large volumes. The data carries no charge.

Is Common Crawl open source and self-hostable?

The dataset is openly available and you process it on your own infrastructure, so it is self-hosted by design. The archive lives in public S3 buckets as WARC, WAT, and WET files alongside columnar index formats. Common Crawl also publishes open tooling and statistics. There is no managed service to subscribe to. You bring your own pipeline, usually Spark or Athena, to query the raw files.

Does Common Crawl render JavaScript?

No. Common Crawl captures raw HTML responses, not JavaScript-rendered pages. Content that only appears after client-side execution will be missing or incomplete in the archive. If you need rendered DOM output or data behind dynamic frontends, Common Crawl is the wrong source. It is a static snapshot of fetched HTML, suited to large-scale text and link analysis rather than scraping modern single-page apps.

What is Common Crawl best used for?

It suits large-scale corpus building rather than targeted lookups. Each monthly snapshot covers roughly 2.4 billion pages, and the archive has supplied training data for many major language models. Teams use it for LLM pretraining corpora, web-scale linguistic research, and link-graph analysis. It is not an API you query for live results. You download terabytes and run batch jobs over them yourself.

What is the best alternative to Common Crawl?

It depends on what you need. For live, queryable search results instead of a bulk archive, Brave Search API is the more direct option. Webz.io delivers structured news and web feeds through an API, which fits teams that want maintained data without building a processing pipeline. Mojeek runs its own independent index. Choose those when you need fresh, queryable access rather than downloading and processing raw crawl files.

How does Common Crawl compare to Brave Search API?

They solve different problems. Common Crawl is a free, downloadable archive of historical web snapshots that you process in batch on your own infrastructure. Brave Search API is a paid, request-based service that returns live search results from an independent index. Use Common Crawl for offline, web-scale analysis and model training. Use Brave Search API when you need real-time results per query without managing petabytes of raw data yourself.

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