Skip to main content

LLM-friendly scraper for media and text from 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.

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 Proprietary APIs

  • ✅ X/Twitter
  • ✅ Telegram
  • ✅ Bluesky
  • ✅ TikTok
  • ✅ YouTube (working sometimes)
  • ⚠️ Facebook (done for videos but not for images yet)
  • ⚠️ Instagram (done for videos but not for images yet)
  • ⏳ Threads
  • ⏳ Reddit

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-0.3.5.tar.gz (33.3 kB view details)

Uploaded Source

Built Distribution

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

scrapemm-0.3.5-py3-none-any.whl (39.4 kB view details)

Uploaded Python 3

File details

Details for the file scrapemm-0.3.5.tar.gz.

File metadata

  • Download URL: scrapemm-0.3.5.tar.gz
  • Upload date:
  • Size: 33.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.11

File hashes

Hashes for scrapemm-0.3.5.tar.gz
Algorithm Hash digest
SHA256 28906ff2de968c8b87ffd46365e148dbe969c550315cbcedb37709255caa1fc0
MD5 e4d0bea80808a6c81838c4bb254768d1
BLAKE2b-256 461031519a08ae7ace1f5df0058feb67b5e21218b4fd4004c3f68a05ffd86a86

See more details on using hashes here.

File details

Details for the file scrapemm-0.3.5-py3-none-any.whl.

File metadata

  • Download URL: scrapemm-0.3.5-py3-none-any.whl
  • Upload date:
  • Size: 39.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.11

File hashes

Hashes for scrapemm-0.3.5-py3-none-any.whl
Algorithm Hash digest
SHA256 f00b6a5a44b31e291a5fbdae8ce8efb23c2a21312e098b6a7cebced653831e30
MD5 9e610699f5afaf82b4a93d0af4d82113
BLAKE2b-256 800e058cc3aeaaca8d49960781a38c7669384daaed6608d7778548d6bec1aa83

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