Launching today
Buffer API
One API to publish across every social platform.
75 followers
One API to publish across every social platform.
75 followers
Buffer's API lets you publish and manage content across 10 social platforms through a single endpoint. Connect it to AI assistants, no-code automation tools, or build full custom integrations. Ships with an MCP server, pre-built automation templates, a CLI, and an interactive API explorer. Available on every Buffer plan, including Free.
Buffer
I’ve built a TRMNL plugin with the Buffer API; it shows my queue counts, along with my next scheduled posts and previously sent posts, on an e-ink display sitting on my desk. I’ll make this available for installation soon.
The API is straightforward to work with, and AI tooling makes prototyping extremely quick. If you're building anything that touches social media, this is worth a look.
Most social publishing APIs fall apart on edge cases like platform-specific media constraints, rate limit variance across accounts, or diff post formats per network. Curious how the Buffer API handles those inconsistencies at the normalization layer. Do you expose a unified schema and translate per-platform, or does the caller still need to know what Twitter vs LinkedIn expects?
Buffer
Hey there@fberrez1!
We expose a single GraphQL API with a unified data model (posts, channels, organizations), so you integrate once instead of juggling separate APIs for each social network. You use the same mutations to create, schedule, and manage posts across Instagram, LinkedIn, X, TikTok, YouTube etc., and we handle auth, routing, and most of the cross‑platform reconciliation behind the scenes.
At the same time, not all networks are identical. Every post is tied to a specific channel type, and we validate it against that platform’s rules, returning clear, structured errors when you hit things like media constraints, text limits, or unsupported combinations. Rate limiting is handled at the Buffer layer, so your integration talks to one rate‑limit model even though we’re managing multiple downstream APIs.
For tailoring content, we also use a metadata layer: each post has a shared core shape (text, media, scheduled time, etc.), plus an optional metadata object that fans out into per‑platform fields (for example, Instagram post vs. reel options, LinkedIn‑specific link settings, YouTube‑style settings). That means you can send a simple “works everywhere” payload when you want speed, and then selectively add metadata when you want to optimize per network (all through the same mutation and schema).
So itl;dr: you get a unified schema and consistent mental model, plus per‑platform metadata and validation that informs you about what each social network will actually accept :)
Buffer
👋 Hey everyone, Mike here, another one of the makers on the Buffer team.
A bit more about the API:
Buffer's API lets you connect Buffer to the tools you already use, whether that's an AI agent, a no-code automation tool, or your own stack. You can publish, schedule, and manage your social presence from wherever you already work.
Under the hood: GraphQL API, MCP server, CLI, managed OAuth, pre-built workflow templates with no-code tools like Zapier and n8n, and an interactive API explorer.
A few more examples of what people have been building with it:
An automated weekly reporting system across 77 social channels in 10 languages, built with n8n by someone who isn't a developer.
A Friday morning Slack bot that recaps what was posted, what's scheduled, and what's missing. Plus a full LinkedIn content library and analyzer on Lovable, both built entirely through conversation with AI.
A power-user layer on top of Buffer with thread splitting, a content calendar with planning notes, and a snippet library.
A Substack growth platform for creators, with Buffer handling social distribution automatically.
It's also available on every Buffer plan, including Free.
Let us know if you have any questions and excited to see what other folks build with it!
Pleo
Well done team and happy launch day on PH!