Skip to main content

Unified social media management - posting, analytics, and insights

Project description

Socialia

Unified social media management — posting, analytics, and insights

License: AGPL-3.0

Part of SciTeX for scientific research automation.

Installation

pip install socialia

# Or with optional dependencies
pip install socialia[reddit]      # Reddit support
pip install socialia[youtube]     # YouTube support
pip install socialia[analytics]   # Google Analytics Data API
pip install socialia[all]         # Everything

Quick Start

from socialia import Twitter, LinkedIn, Reddit, YouTube, GoogleAnalytics

# Post to Twitter
twitter = Twitter()
twitter.post("Hello World!")

# Post to LinkedIn
linkedin = LinkedIn()
linkedin.post("Professional update!")

# Track analytics
ga = GoogleAnalytics()
ga.track_event("page_view", {"page": "/docs"})
CLI Usage
# Check all platform connections at once
socialia check

# Get recent posts from all platforms
socialia feed
socialia feed --detail        # Full text with URLs
socialia feed --mentions      # Get mentions/notifications
socialia feed --replies       # Get replies to your posts (Twitter)

# Get user profile info
socialia me twitter

# Post to Twitter
socialia post twitter "Hello World!"

# Schedule a post for later
socialia post twitter "Hello!" --schedule "10:00"
socialia post twitter "Hello!" --schedule "2026-01-23 10:00"
socialia post twitter "Hello!" --schedule "+1h"

# Manage scheduled posts
socialia schedule list        # View pending posts
socialia schedule cancel ID   # Cancel a scheduled post
socialia schedule daemon      # Run scheduler in background

# Post to LinkedIn
socialia post linkedin "Professional update!"

# Post to Reddit
socialia post reddit "Post body" --subreddit python --title "Post Title"

# Post to YouTube (video upload)
socialia post youtube "Description" --video video.mp4 --title "My Video"

# Analytics tracking
socialia analytics track page_view --param page /docs

# Get realtime users
socialia analytics realtime

# Post from file
socialia post twitter --file tweet.txt

# Delete a post
socialia delete twitter 1234567890

# Post a thread (separate posts with ---)
socialia thread twitter --file thread.txt

# Dry run (preview without posting)
socialia post twitter "Test" --dry-run

# Show all commands
socialia --help-recursive

# JSON output
socialia feed --json

# Shell completion
socialia completion bash      # Print bash completion script
socialia completion zsh       # Print zsh completion script
socialia completion install   # Auto-install to shell config
socialia completion status    # Check installation status
Python API
from socialia import Twitter, LinkedIn, Reddit, YouTube, GoogleAnalytics

# Check connection and get user info
twitter = Twitter()
twitter.check()      # Verify connection
twitter.me()         # Get user profile
twitter.feed()       # Get recent tweets
twitter.mentions()   # Get mentions
twitter.replies()    # Get replies to your posts

# Post content
twitter.post("Hello World!")
twitter.post_thread(["First", "Second", "Third"])
twitter.delete("1234567890")

# LinkedIn
linkedin = LinkedIn()
linkedin.post("Professional update!")
linkedin.me()        # Get user info

# Reddit (requires: pip install socialia[reddit])
reddit = Reddit()
reddit.post("Post body", subreddit="test", title="Title")
reddit.feed()        # Get recent posts
reddit.mentions()    # Get inbox mentions
reddit.update("post_id", "Updated text")  # Edit post

# YouTube (requires: pip install socialia[youtube])
youtube = YouTube()
youtube.post("Description", video_path="video.mp4", title="My Video")
youtube.feed()       # Get recent videos
youtube.update("video_id", title="New Title")

# Google Analytics (requires: pip install socialia[analytics])
ga = GoogleAnalytics()
ga.track_event("social_post", {"platform": "twitter", "post_id": "123"})
ga.get_page_views(start_date="7daysAgo", end_date="today")
MCP Server
# Check server health and credentials
socialia mcp doctor

# List available MCP tools
socialia mcp list-tools

# Show Claude Desktop configuration
socialia mcp installation

# Start the MCP server
socialia mcp start

Add to Claude Code settings:

{
  "mcpServers": {
    "socialia": {
      "command": "socialia",
      "args": ["mcp", "start"],
      "env": {
        "SOCIALIA_X_CONSUMER_KEY": "...",
        "SOCIALIA_X_CONSUMER_KEY_SECRET": "...",
        "SOCIALIA_X_ACCESSTOKEN": "...",
        "SOCIALIA_X_ACCESSTOKEN_SECRET": "..."
      }
    }
  }
}
Environment Variables
# Twitter/X
export SOCIALIA_X_CONSUMER_KEY="your_consumer_key"
export SOCIALIA_X_CONSUMER_KEY_SECRET="your_consumer_secret"
export SOCIALIA_X_ACCESSTOKEN="your_access_token"
export SOCIALIA_X_ACCESSTOKEN_SECRET="your_access_token_secret"

# LinkedIn
export SOCIALIA_LINKEDIN_ACCESS_TOKEN="your_access_token"

# Reddit
export SOCIALIA_REDDIT_CLIENT_ID="your_client_id"
export SOCIALIA_REDDIT_CLIENT_SECRET="your_client_secret"
export SOCIALIA_REDDIT_USERNAME="your_username"
export SOCIALIA_REDDIT_PASSWORD="your_password"

# YouTube
export SOCIALIA_YOUTUBE_CLIENT_SECRETS_FILE="path/to/client_secrets.json"

# Google Analytics
export SOCIALIA_GOOGLE_ANALYTICS_MEASUREMENT_ID="G-XXXXXXXXXX"
export SOCIALIA_GOOGLE_ANALYTICS_API_SECRET="your_api_secret"
export SOCIALIA_GOOGLE_ANALYTICS_PROPERTY_ID="123456789"  # Optional, for Data API

Detailed setup guide: socialia setup or see docs/SETUP.md

Supported Platforms
Platform Status API Install
Twitter/X Ready v2 OAuth 1.0a pip install socialia
LinkedIn Ready v2 OAuth 2.0 pip install socialia
Reddit Ready PRAW pip install socialia[reddit]
YouTube Ready Data API v3 pip install socialia[youtube]
Google Analytics Ready GA4 + Data API pip install socialia[analytics]
Project Structure
socialia/
├── src/socialia/         # Python package
│   ├── cli/              # CLI with argparse
│   ├── twitter.py        # Twitter/X API
│   ├── linkedin.py       # LinkedIn API
│   ├── reddit.py         # Reddit API (PRAW)
│   ├── youtube.py        # YouTube API
│   ├── analytics.py      # Google Analytics
│   ├── scheduler.py      # Post scheduling system
│   ├── mcp_server.py     # MCP server (delegates to CLI)
│   └── base.py           # Base class
├── docs/
│   ├── platforms/        # Platform API documentation
│   └── SETUP.md          # Step-by-step setup guide
├── examples/             # Usage examples
├── Makefile              # Command dispatcher
├── pyproject.toml
└── .env                  # Credentials (gitignored)
SciTeX Integration

Socialia is part of the SciTeX ecosystem:

# Install via scitex
pip install scitex[social]

# Use in research workflows
import scitex as stx
from socialia import Twitter

@stx.session
def share_results(twitter=stx.INJECTED):
    # Auto-configured from scitex settings
    twitter.post("New research results!")

SciTeX
AGPL-3.0

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

socialia-0.2.2.tar.gz (53.2 kB view details)

Uploaded Source

Built Distribution

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

socialia-0.2.2-py3-none-any.whl (50.6 kB view details)

Uploaded Python 3

File details

Details for the file socialia-0.2.2.tar.gz.

File metadata

  • Download URL: socialia-0.2.2.tar.gz
  • Upload date:
  • Size: 53.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.0rc1

File hashes

Hashes for socialia-0.2.2.tar.gz
Algorithm Hash digest
SHA256 a8eefb4030cb5df2c899ed4e80a8d5c79997208eb70498fb02e7bb0b3c909a60
MD5 ae47523c06f45713e88a80409c0a7cd1
BLAKE2b-256 622682fa9f5830429064e9b4dfd427e3e5d8aebc5c0d0aaa8d4fc6934e88c60b

See more details on using hashes here.

File details

Details for the file socialia-0.2.2-py3-none-any.whl.

File metadata

  • Download URL: socialia-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 50.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.0rc1

File hashes

Hashes for socialia-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 023a4ae328cdde343d3f705b6858ac79eec9f37223fac09831ddfdb6741f3e5e
MD5 954db80ef789c75aa7e8cf430ccc727d
BLAKE2b-256 e512f05d349f60245347664b19f6b4fcd5050fa4eae8de48aaf44bf65182ed32

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