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 eight networks from a single set of endpoints, with no per-platform SDKs to learn.
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.
Call the API with httpx, requests, or aiohttp. No SDK to install or maintain.
List, reply to, hide, and like comments across all connected platforms.
Read conversations and send replies through one messaging endpoint.
Create and schedule posts across every network from a single request.
Receive real-time events in your Python service the moment something happens.
Read and reply from Python
1import httpx
2
3API = "https://api.social-api.ai/v1"
4headers = {"Authorization": "Bearer sapi_key_..."}
5
6# List comments on a post (any platform, same shape)
7r = httpx.get(f"{API}/accounts/{account_id}/posts/{post_id}/comments", headers=headers)
8comments = r.json()["data"]
9
10# Reply to the first comment
11cid = comments[0]["id"]
12httpx.post(
13 f"{API}/accounts/{account_id}/interactions/{cid}/reply",
14 headers=headers,
15 json={"text": "Thanks for your comment!"},
16)
Authenticate with a bearer token and call the endpoints with httpx. The same code shape works for every connected platform because responses are normalized.
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.
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.
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.
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.
FAQ
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 Instagram, TikTok, LinkedIn, and more.
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.
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.
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.
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.
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Free tier available · No credit card required · Ships with MCP server
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