The Python social media API

SocialAPI.ai is a REST social media API for Python. Use an HTTP client like httpx or requests, authenticate with a bearer API key, and read comments, send DMs, publish posts, and reply to reviews across 13 networks from a single set of endpoints, with no per-platform SDKs to learn.

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Read and reply from Python

Python

import httpx

API = "https://api.social-api.ai/v1"
headers = {"Authorization": "Bearer sapi_key_..."}

# List comments on a post (any platform, same shape)
r = httpx.get(
    f"{API}/inbox/comments/{post_id}",
    params={"account_id": account_id},
    headers=headers,
)
comments = r.json()["data"]

# Reply to the first comment
cid = comments[0]["id"]
httpx.post(
    f"{API}/inbox/comments/{post_id}",
    headers=headers,
    json={"account_id": account_id, "comment_id": cid, "text": "Thanks for your comment!"},
)

Authenticate with a bearer token and call the endpoints with httpx. The same code shape works for every connected platform because responses are normalized.

Why: Python has no unified social media library.

Each network ships its own SDK with its own auth, models, and quirks, so a Python project that touches several platforms ends up maintaining several integrations. SocialAPI.ai replaces all of them with one REST API you call using httpx or requests. The same request shape returns the same JSON for every platform, so you write the integration once.

Where it lands: One call, every network

The same request lands on each platform as that platform draws it.

On Instagram
Comments
maya.r2h
Do these come in black?
ledge.skate1m
Yes, black with a gum sole, sizes 36 to 46.
jin.k5h
Skated mine all weekend, the grip is unreal.
View hidden comments (1)
POST/v1/inbox/comments/{postId}200 OK
On X (Twitter)
Tom B.
Tom B.
@tom_b
Friday
Ordered the canvas highs, size 44.
Thanks Tom, it ships today.
Today
This was at my door, but it's not my order.
❤️
Tom B.This was at my door, but it's not my order.
Sorry Tom, a mix-up. Yours is at your front desk.
9:14 AMSeen
Found itStill missing
POST/v1/inbox/conversations/{id}/messages200 OK
On Threads
ledge.skateOct 6
New white lows just landed. In store Saturday, all sizes.
POST/v1/posts201 Created

Works across every connected network.

Capabilities: What the Python Social Media API covers

One REST API for social media, called from Python.

Any HTTP client
Call the API with httpx, requests, or aiohttp. No SDK to install or maintain.
Authorization: Bearer sapi_key_…
Comments
List, reply to, hide, and like comments across all connected platforms.
- GET/v1/inbox/comments/{postId}
- POST/v1/inbox/comments/{postId}
Direct Messages
Read conversations and send replies through one messaging endpoint.
- GET/v1/inbox/conversations
- POST/v1/inbox/conversations/{id}/messages
Publishing
Create and schedule posts across every network from a single request.
- POST/v1/posts
Webhooks
Receive real-time events in your Python service the moment something happens.
- comment.received
- dm.received
- mention.received

In depth: Python Social Media API, in depth

Works with the HTTP client you already use

There is no SocialAPI.ai pip package to learn. Call the API with httpx, requests, or aiohttp using a bearer token. Because it is plain REST, it drops into any Python project, script, or framework without new dependencies or generated clients.

The same code for every network

SocialAPI.ai normalizes Instagram, Facebook, TikTok, LinkedIn, YouTube, X, and Threads, so the function that reads comments or posts a reply is identical across platforms. You write and test it once instead of maintaining a separate code path per network.

Async-ready for high throughput

Use httpx.AsyncClient to run many calls concurrently, which suits batch moderation jobs and agent workloads that read and respond across many accounts. The API enforces per-platform rate limits, so you can fan out without tracking each network's rules yourself.

MCP-native for Python AI agents

If you are building an AI agent in Python, SocialAPI.ai also exposes a Model Context Protocol server so the agent can call social tools directly. See the Social Media API for AI Agents page at https://social-api.ai/solutions/social-media-api-for-ai-agents.

Frequently asked questions

What developers ask before they ship.

What is the best social media API for Python?

The best social media API for Python is one REST API that covers every network with a consistent response shape, so you avoid maintaining a separate SDK per platform. SocialAPI.ai does this: call it with httpx or requests and read or respond across all 13 platforms.

How do I post to Instagram with Python?

Connect your Instagram account in the SocialAPI.ai dashboard, then send an authenticated POST to the publishing endpoint with httpx or requests. The same request publishes to Instagram, TikTok, LinkedIn, and the other supported networks because the API is normalized.

Is there a Python library for social media management?

You do not need a per-platform library. SocialAPI.ai is plain REST, so any Python HTTP client manages comments, DMs, posts, and reviews across every connected network. That replaces a stack of separate SDKs with one consistent API.

How do I read Instagram or TikTok comments in Python?

Send an authenticated GET to the comments endpoint for a post and read the normalized JSON. The same call returns comments for Instagram, TikTok, and the other supported networks, so one function covers them all.

Can I automate social media with Python for free?

Yes. SocialAPI.ai has a free tier with no credit card, and reads such as fetching comments and mentions are always free. You can get an instant API key and automate reading and responding from Python on the free plan.

Ready to unify your social interactions?

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