anakin-inc/anakin

Open-source web scraping API. Turn any website into clean markdown or structured JSON. Anti-detect browser, proxy auto-selection, self-hosted. One command:...

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Summary Information

Updated 42 minutes ago
Added to GitGenius on September 15th, 2026
Created on March 17th, 2026
Open Issues & Pull Requests: 82 (+0)
GitHub issues: Enabled
Number of forks: 181
Total Stargazers: 4,400 (+4)
Total Subscribers: 5 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.8 days
Mean response time: 12.4 days
90th percentile: 15.4 days
Tracked items: 12

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Issue Activity (beta)

Open issues: 27
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 59 days
Stale 30+ days: 26
Stale 90+ days: 3

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (9)
  • bug (8)
  • good first issue (4)

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Detailed Description

Anakin is a web scraping API that converts website content into clean markdown or structured JSON output.

The tool addresses the challenge of extracting and standardizing web content by providing an anti-detect browser with proxy auto-selection capabilities. It handles the technical complexity of web scraping by automatically managing browser detection evasion and rotating through available proxies, allowing developers to focus on data extraction rather than infrastructure concerns. The output can be formatted as either markdown for readability or JSON for programmatic use, making the extracted data immediately usable in downstream applications.

Anakin suits projects that need reliable web content extraction without managing complex scraping infrastructure. Self-hosting is supported, giving teams control over their scraping operations and data privacy. The tool is designed for developers who want to avoid the overhead of building anti-detection and proxy management systems from scratch. A single command deployment model minimizes setup friction for getting started.

The project shows consistent development activity with regular commits and ongoing maintenance. The codebase demonstrates active refinement of core scraping functionality and infrastructure reliability. Development appears focused on keeping the anti-detect mechanisms current and improving the robustness of content extraction across diverse website structures.