🕸️Scrapegraph-ai
ScrapeGraphAI/Scrapegraph-ai · homepage ↗
Python scraper based on AI
⭐ Very popular: 30k stars, gaining about 251 a week
View on GitHub ↗repo profile
momentum
durability
bus factor = how many people it takes to cover more than half the commits (6 months). 1 is a solo project; higher means the work is spread across a team. top-author share is the single busiest author's slice of those commits.
since we covered it
why it's a big deal
- Dramatically improves scraping accuracy through advanced contextual understanding.
- Simplifies data extraction workflows by automating complex scraping tasks.
- Enhances flexibility by supporting dynamic web content scraping.
under the hood
- Built on robust LLM frameworks to interpret and analyse web page content.
- Implements AI-driven decision-making to adaptively scrape complex pages.
- Provides straightforward APIs for easy integration into existing data pipelines.
our take from PR#3, 2025-03-05
star history
- PR#3 18k 2025-03-05
- now 30k + 11k since first covered
curve is sampled from GitHub's star history, plus our own daily readings since we covered it; the dashed stretch is before we first covered it, the solid line since. figures at coverage are the numbers we printed then (approx.), current count is live.
understory
Output and attention are roughly in balance.
- output, commits & releases
- clout, star velocity
output = commits & releases; clout = star velocity, both 0 to 100 monthly indices; the gap where output runs above clout is the understory. The understory →
covered in
-
Web Scraping Enhanced by LLMs
similar projects
compare these →- 🔥 Firecrawl
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replaces
alternatives to Apify →- Apify
market leader
closed source - Bright Data closed source
- Diffbot closed source
comments
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