Skip to main content

Flexible multimodal scraper for social media and the open web.

Project description

scrapeMM: Multimodal Web Retrieval

Simple web scraper to asynchronously retrieve webpages and access social media contents, fetching text along with media, i.e., images and videos.

This library aims to help developers and researchers to easily access multimodal data from the web and use it for LLM processing.

Setup

  • If you want to download videos: Then, the installation of ffmpeg is highly recommended. In Conda, you can install it with conda install -c conda-forge ffmpeg.
  • If you want to scrape Perma.cc archive records or Facebook photos, you'll need to install playwright with pip install playwright and running playwright install.

Usage

from scrapemm import retrieve
import asyncio

if __name__ == "__main__":
    url = "https://www.snopes.com/fact-check/gauze-originate-from-gaza/"
    result = asyncio.run(retrieve(url))
    if result.errors:
        print(result.errors)
    else:
        print(result.content)

scrapeMM will ask you for the API secrets needed for the integrations. You may skip them if you don't need them.

You will also be prompted to choose a password that is used to secure the secrets in an encrypted file.

How it works

Input:                                  Output:
URL (string)   -->   retrieve()   -->   MultimodalSequence

The MultimodalSequence is a sequence of Markdown-formatted text and media provided by the ezMM library.

Web scraping is done with Firecrawl and Decodo.

Supported Platforms

Social Media

  • ✅ X/Twitter
  • ✅ Telegram
  • ✅ Bluesky
  • ✅ TikTok
  • ✅ YouTube
  • (✅️) Instagram: works for most content
  • ✅️ Facebook
  • ❌ Threads: TBD
  • ❌ Reddit: TBD

Archiving Services

  • ✅ Perma.cc
  • (✅) Archive.today: Sometimes ending up in TimeoutErrors, generally pretty slow
  • ✅ MediaVault (mvau.lt)
  • ❌ Wayback Machine, Internet Archive (web.archive.org)
  • ❌ AwesomeScreenshot.com
  • ❌ Ghost Archive (ghostarchive.org)

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

scrapemm-0.6.3.tar.gz (56.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

scrapemm-0.6.3-py3-none-any.whl (68.0 kB view details)

Uploaded Python 3

File details

Details for the file scrapemm-0.6.3.tar.gz.

File metadata

  • Download URL: scrapemm-0.6.3.tar.gz
  • Upload date:
  • Size: 56.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.13

File hashes

Hashes for scrapemm-0.6.3.tar.gz
Algorithm Hash digest
SHA256 8a21646c29101595db2d92dff8e75ff3e291c688d53aad9a343c7d1164663dcd
MD5 ff9d7618912ad85fb8edba6be36247a8
BLAKE2b-256 7040edd1ca3211e1fe07f453dd58a584676dc5e0da8dff3e48ca4b52642e03fe

See more details on using hashes here.

File details

Details for the file scrapemm-0.6.3-py3-none-any.whl.

File metadata

  • Download URL: scrapemm-0.6.3-py3-none-any.whl
  • Upload date:
  • Size: 68.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.13

File hashes

Hashes for scrapemm-0.6.3-py3-none-any.whl
Algorithm Hash digest
SHA256 b47f15254434b99fabb36f4fbf77df5a822e592bb3df96f1011e69914c2e7ae9
MD5 034fe6903ec3934e4537bb616741f54d
BLAKE2b-256 930fc589cde9168a85e6aaa46c36d1f9dd75a13fade3e22be8c2918fceaec0eb

See more details on using hashes here.

Supported by

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