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snscrape project preview
MarketingAlternative to Sprout SocialAlternative to Brand24Alternative to Mention

snscrape

A social networking service (SNS) scraper in Python for Twitter, Facebook, Reddit, and Telegram.

View on GitHub
LicenseGPL-3.0
GitHub stars4.5k
Last commit6 days ago
Tags5 topics
Cross Platform Sns ScraperSocial Media ScraperSnscrape CliMarketingReddit Twitter Scraper
Overview

Why consider snscrape?

snscrape is an open-source Python social media scraper written by JustAnotherArchivist. snscrape gathers public posts, threads, user histories, and hashtags from Twitter, Facebook, Instagram, Reddit, Telegram, VKontakte, and Weibo without browser automation overhead.

Guided learning

Learn snscrape by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of snscrape

snscrape extracts social posts and discussions across multi-channel social networks.

Quickstart

bash
1pip install snscrape
2snscrape --jsonl twitter-search "marketing tool" > results.json

snscrape is licensed under the GNU General Public License v3.0 (GPL-3.0).

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snscrape FAQs

snscrape is listed as a Marketing tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

snscrape is listed under the GPL-3.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

snscrape is listed as an alternative to Sprout Social. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.