snscrape — AI Agent Review & Live Stats

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: Mar 17, 2026

GitHub Statistics

Community Sentiment

Community Buzz: Snscrape is a Python library for scraping social media platforms. It's a popular and highly-rated project with a strong community of contributors and users.

Why snscrape Stands Out

snscrape is different from alternatives because of its support for multiple social media platforms, including some that are often difficult to scrape, such as Telegram and VKontakte. Its ability to output data in JSONL format makes it easy to integrate with other tools and pipelines. The project's focus on scraping social media data also makes it a valuable resource for researchers and analysts who need to collect and analyze social media data. Additionally, snscrape's use of the GNU General Public License ensures that it remains free and open-source, making it accessible to a wide range of users.

Built With

Build a social media monitoring tool that tracks brand mentions — snscrape enables it by providing a scraper for multiple social media platforms, Build a data ingestion pipeline for social media analytics — snscrape allows you to scrape data from various social media services and output it in JSONL format, Build a research project that analyzes Twitter trends — snscrape provides a Twitter scraper that can collect tweets by user, hashtag, or search query, Build a social media archiving system for historical preservation — snscrape supports scraping of Facebook, Instagram, and other platforms, making it suitable for archiving purposes, Build a sentiment analysis tool for social media posts — snscrape can be used to collect social media data, which can then be analyzed for sentiment using natural language processing techniques

Getting Started

  1. Install snscrape using pip: `pip3 install snscrape`
  2. Verify the installation by running `snscrape --help` to see the available options and scrapers
  3. Configure the scraper to output data in JSONL format using the `--jsonl` option
  4. Use the `snscrape twitter-user` scraper to collect tweets from a specific user, such as `snscrape twitter-user textfiles`
  5. Try running `snscrape twitter-hashtag archiveteam --max-results 100` to verify that it works and collect the latest 100 tweets with the hashtag #archiveteam

About

A social networking service scraper in Python

Category & Tags

Category: social

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

Market Context

Snscrape is a leading Python library for social media scraping, widely used in research and development.