# Scrapfly ranks five open-source LinkedIn scrapers on GitHub by auth model and ban risk

> Scrapfly published a blog post evaluating five open-source LinkedIn scraping repositories on GitHub, ranking them by authentication approach, maintenance status, and real-world blocking risk as of August 2026.

- Canonical: https://extractfeed.io/story/scrapfly-ranks-five-open-source-linkedin-scrapers-on-github-348f842/
- JSON: https://extractfeed.io/api/v1/stories/scrapfly-ranks-five-open-source-linkedin-scrapers-on-github-348f842.json
- Beat: Open Source & Tooling · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-09-05T15:11:05.418959+00:00 · Updated: 2026-09-05T15:11:05.418959+00:00 · Edition: 2026-09-06
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## Briefing
- Scrapfly: Scrapfly published a blog post evaluating five open-source LinkedIn scraping repositories on GitHub, ranking them by authentication approach, maintenance status, and real-world blocking risk as of August 2026.

## Why it matters
LinkedIn is one of the most aggressively protected platforms for scraping, making tool selection critical for practitioners. This roundup provides a rare, dated snapshot of which open-source scrapers still work and which carry high ban risk, helping developers avoid wasted effort on abandoned or easily detected tools.

## Sources
- Primary source · Scrapfly · 2026-08-14 — [5 Best Open-Source LinkedIn Scrapers on GitHub in 2026](https://scrapfly.io/blog/posts/best-linkedin-scrapers-github)

## Watch next
Will any of these scrapers still function after LinkedIn's next anti-bot update, or will the community need to pivot to browser automation approaches?

Topics: Scrapfly, LinkedIn, GitHub, linkedin-scraping, open-source, github, anti-bot, social-media-scraping

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