## [How to scrape Crunchbase using Python in 2024 (Easy Guide)](https://crawlee.dev/blog/scrape-crunchbase-python.md)

January 3, 2025 ·

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13 min read

[![Max](https://avatars.githubusercontent.com/u/34358312?v=4)](https://github.com/Mantisus)

[Max](https://github.com/Mantisus)

Community Member of Crawlee and web scraping expert

Python developers know the drill: you need reliable company data, and Crunchbase has it. This guide shows you how to build an effective [Crunchbase](https://www.crunchbase.com/) scraper in Python that gets you the data you need.

Crunchbase tracks details that matter: locations, business focus, founders, and investment histories. Manual extraction from such a large dataset isn't practical -automation is essential for transforming this information into an analyzable format.

By the end of this blog, we'll explore three different ways to extract data from Crunchbase using [`Crawlee for Python`](https://github.com/apify/crawlee-python). We'll fully implement two of them and discuss the specifics and challenges of the third. This will help us better understand how important it is to properly [choose the right data source](https://www.crawlee.dev/blog/web-scraping-tips#1-choosing-a-data-source-for-the-project).

note

This guide comes from a developer in our growing community. Have you built interesting projects with Crawlee? Join us on [Discord](https://discord.com/invite/jyEM2PRvMU) to share your experiences and blog ideas - we value these contributions from developers like you.

![How to Scrape Crunchbase Using Python](/assets/images/scrape_crunchbase-28a71b5380492fe6618bbd9c90989543.webp)

Key steps we'll cover:

1. Project setup
2. Choosing the data source
3. Implementing sitemap-based crawler
4. Analysis of search-based approach and its limitations
5. Implementing the official API crawler
6. Conclusion and repository access

**Tags:**

* [community](https://crawlee.dev/blog/tags/community.md)

[**Read More**](https://crawlee.dev/blog/scrape-crunchbase-python.md)