scrapeMM 0.5.3

Flexible multimodal scraper for social media and the open web.

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, the installation of ffmpeg is highly recommended. In Conda, you can install it with conda install -c conda-forge ffmpeg.

Usage

from scrapemm import retrieve
import asyncio

url = "https://example.com"
loop = asyncio.get_event_loop()
result = loop.run_until_complete(retrieve(url))
result.render()

scrapeMM will ask you for the API keys needed for the social media 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: done for videos but not for images yet
• ❌ Threads: TBD
• ❌ Reddit: TBD

Archiving Services

• ❌ Perma.cc
• ❌ Archive.today
• ❌ Wayback Machine, Internet Archive (web.archive.org)
• ❌ AwesomeScreenshot.com
• ⏳ MediaVault (mvau.lt): Works for images but not for videos yet
• ❌ Ghost Archive (ghostarchive.org)