Crawlkit

Crawlkit

Easy web scraping.

crawlkitsh
@crawlkitsh
Published on Feb 8, 2026
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Categories
Developer Tools
Platforms
WebAPI

About Crawlkit

CrawlKit is a web data extraction platform designed for developers and data teams who need reliable, scalable access to web data without building or maintaining scraping infrastructure. Modern web scraping usually means dealing with rotating proxies, headless browsers, anti-bot protections, rate limits, and constant breakages. CrawlKit removes all of that complexity. You send a request, and CrawlKit handles proxy rotation, browser rendering, retries, and blocking—so you can focus on using the data, not collecting it. With CrawlKit, you can extract multiple types of web data through a single, consistent interface: raw page content, search results, visual snapshots, and professional data from LinkedIn.

Product Insights

Crawlkit provides an API-driven web data extraction platform for developers that manages proxy rotation, browser rendering, and anti-bot protections. It serves as a unified interface for gathering raw content, search results, and professional profile data across web platforms.

  • Supports multiple extraction types including raw page content, search results, and LinkedIn data.
  • Automates infrastructure management including headless browsers, proxy rotation, and retries.
  • Available via web and API platforms for seamless integration into existing developer workflows.
  • Handles complex technical hurdles like anti-bot protections and rate limits automatically.

Ideal for: Developers, Data Scientists, and Backend Developers requiring reliable web scraping for lead generation and data analysis without managing their own infrastructure.

Screenshots

Screenshot 1 of Crawlkit
Screenshot 2 of Crawlkit

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Comments (2)

nhrdev
@nhrdev

Congrats mate :D, and your landing page is definitely a cool one :D

juditzapic
@juditzapic

Simplifying web scraping like this is a game-changer. Handling proxies, anti-bot measures, and retries for you lets teams focus on using the data instead of wrestling with infrastructure.