snscrape — AI Agent Framework: Live Stats & TrendScore

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: Apr 10, 2026

GitHub Statistics

Community Sentiment

Community Buzz: I've been using this https://github.com/JustAnotherArchivist/snscrape and with 5 threads and no vpn, just my laptop, have been getting about 1 million tweets a day

Pros & Cons

What People Love

easy to use, fast data collection, flexible API

Common Complaints

rate limiting, data scraping concerns

Biggest Positive: easy to use

Biggest Negative: scraping concerns

Why snscrape Stands Out

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.

Built With

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

Getting Started

  1. Install Snscrape using pip3 install snscrape
  2. Run snscrape --help to view available scrapers and options
  3. Use snscrape twitter-user textfiles to collect all tweets by a specific user
  4. Configure the output format using the --jsonl option, e.g., snscrape --jsonl twitter-user textfiles
  5. Try running snscrape twitter-hashtag archiveteam to verify it works and collect the latest 100 tweets with a specific hashtag

About

A social networking service scraper in Python

Category & Tags

Category: social

Tags: python, scraper, social-media, social-network

Market Context

Competing with official Twitter API