snscrape

snscrape is a scraper for social networking services (SNS). It scrapes things like user profiles, hashtags, or searches and returns the discovered items, e.g. the relevant posts.

The following services are currently supported:

  • Facebook: user profiles, groups, and communities (aka visitor posts)
  • Instagram: user profiles, hashtags, and locations
  • Reddit: users, subreddits, and searches (via Pushshift)
  • Telegram: channels
  • Twitter: users, user profiles, hashtags, searches, threads, and list posts
  • VKontakte: user profiles
  • Weibo (Sina Weibo): user profiles

Please note that some features listed here may only be available in the current development version of snscrape.

Requirements

snscrape requires Python 3.8 or higher. The Python package dependencies are installed automatically when you install snscrape.

Note that one of the dependencies, lxml, also requires libxml2 and libxslt to be installed.

Installation

pip3 install snscrape

If you want to use the development version:

pip3 install git+https://github.com/JustAnotherArchivist/snscrape.git

Usage

To get all tweets by Jason Scott (@textfiles):

snscrape twitter-user textfiles

It's usually useful to redirect the output to a file for further processing, e.g. in bash using the filename [email protected]:

snscrape twitter-user textfiles >[email protected]

To get the latest 100 tweets with the hashtag #archiveteam:

snscrape --max-results 100 twitter-hashtag archiveteam

Other noteworthy options are:

  • --format to customise the output format.
  • --jsonl to get output as JSONL. This includes all information extracted by snscrape (e.g. message content, datetime, images; details vary by the module and scraper).
  • --with-entity to get an item on the entity being scraped, e.g. the user or channel. This is not supported on all scrapers. (You can use this together with --max-results 0 to only fetch the entity info.)

snscrape --help or snscrape <module> --help provides details on the available options. snscrape --help also lists all available modules.

It is also possible to use snscrape as a library in Python, but this is currently undocumented.

GitHub

https://github.com/JustAnotherArchivist/snscrape