Skip to main content

A social networking service scraper

Project description

umbraSnscrape

umbraSnscrape 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
  • Mastodon: user profiles and toots (single or thread)
  • Reddit: users, subreddits, and searches (via Pushshift)
  • Telegram: channels
  • Twitter: users, user profiles, hashtags, searches, tweets (single or surrounding thread), list posts, and trends
  • VKontakte: user profiles
  • Weibo (Sina Weibo): user profiles

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 umbraSnscrape

Usage

CLI

The generic syntax of umbraSnscrape's CLI is:

umbraSnscrape [GLOBAL-OPTIONS] SCRAPER-NAME [SCRAPER-OPTIONS] [SCRAPER-ARGUMENTS...]

umbraSnscrape --help and umbraSnscrape SCRAPER-NAME --help provide details on the options and arguments. snscrape --help also lists all available scrapers.

The default output of the CLI is the URL of each result.

Some noteworthy global options are:

  • --jsonl to get output as JSONL. This includes all information extracted by snscrape (e.g. message content, datetime, images; details vary by scraper).
  • --max-results NUMBER to only return the first NUMBER results.
  • --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.)

Examples

Collect all tweets by Jason Scott (@textfiles):

umbraSnscrape twitter-user textfiles

It's usually useful to redirect the output to a file for further processing, e.g. in bash using the filename twitter-@textfiles:

src twitter-user textfiles >twitter-@textfiles

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

umbraSnscrape --max-results 100 twitter-hashtag archiveteam

Library

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

Issue reporting

If you discover an issue with umbraSnscrape, please report it at https://github.com/JustAnotherArchivist/snscrape/issues. If possible please run snscrape with -vv and --dump-locals and include the log output as well as the dump files referenced in the log in the issue. Note that the files may contain sensitive information in some cases and could potentially be used to identify you (e.g. if the service includes your IP address in its response). If you prefer to arrange a file transfer privately, just mention that in the issue.

License

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

umbraSenscraping-0.0.1.tar.gz (51.9 kB view details)

Uploaded Source

Built Distribution

umbraSenscraping-0.0.1-py3-none-any.whl (59.4 kB view details)

Uploaded Python 3

File details

Details for the file umbraSenscraping-0.0.1.tar.gz.

File metadata

  • Download URL: umbraSenscraping-0.0.1.tar.gz
  • Upload date:
  • Size: 51.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.10

File hashes

Hashes for umbraSenscraping-0.0.1.tar.gz
Algorithm Hash digest
SHA256 10f90ee4974a5036de4de303e327bd87ec619dbf06341bd70f764dc66abff92e
MD5 341aaa992f1b45d4e6f4212da1636fee
BLAKE2b-256 90325792be5d972c8b72d2d3f5534224029f54274a0a5ad46e5fcd33c81d539c

See more details on using hashes here.

Provenance

File details

Details for the file umbraSenscraping-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for umbraSenscraping-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8731e859d5f3ceb0a86f101917256b4231fc6b76b61aadc8b57b85d598af9562
MD5 9d4a0bde943d959ab46a2ff990b3de9a
BLAKE2b-256 2c2530882534205c69bcf224abca53113e798d3db54e132979a276c0b0bbb862

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page