Live GitHub stats, community sentiment, and trend data for snscrape. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.
GitHub data synced: Nov 15, 2023 • Sentiment updated: Jun 22, 2026
Community Buzz: As one user on HackerNews said, "I'm so glad I'm not the only one..." when discussing their scraper project, and another user on Dev.to mentioned "You're a Real TypeScript Developer Only If...." in a post about developer skills, showing the community's interest in both scraper projects and developer discussions
AI model success stories on HackerNews, Developer community support on Dev.to, Successful scraper projects on HackerNews, Useful tools and resources on Dev.to
Data scraping concerns, Privacy risks
Biggest Positive: AI model success
Biggest Negative: Data scraping concerns
Snscrape takes a unique approach by providing a single interface for scraping multiple social media platforms, making it easier to collect and analyze data across different services. Its ability to handle various data formats, such as JSONL output, makes it a valuable tool for data analysis. Additionally, Snscrape's support for scraping specific entities, like user profiles or hashtags, allows for more targeted data collection. The project's GPL-3.0 license also ensures that it remains free and open-source.
Build a social media monitoring tool — Snscrape enables it by providing a scraper for multiple social networking services, Build a Twitter archive — Snscrape allows you to scrape tweets by user, hashtag, or search query, Build a Facebook group analyzer — Snscrape supports scraping Facebook user profiles, groups, and communities, Build a Reddit subreddit tracker — Snscrape can scrape Reddit users, subreddits, and searches via Pushshift, Build a Mastodon instance crawler — Snscrape enables scraping of Mastodon user profiles and toots
A social networking service scraper in Python
Category: social
Tags: python, scraper, social-media, social-network
Competitive