# AI Content Repurposer for Social Media (`victor187/ai-content-repurposer`) Actor

Turns one long-form text into a ready-to-post X/Twitter thread, LinkedIn post and Instagram caption. Pure AI generation, no scraping.

- **URL**: https://apify.com/victor187/ai-content-repurposer.md
- **Developed by:** [victor](https://apify.com/victor187) (community)
- **Categories:** Social media, AI
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $30.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## AI Content Repurposer for Social Media

Turn one long-form text into a ready-to-post X/Twitter thread, LinkedIn post and Instagram caption -- in one call.

### Input

```json
{
  "items": [{ "id": "post-1", "text": "Your blog post, transcript or newsletter here..." }],
  "groqApiKey": "your-own-free-groq-key"
}
```

You need your own free Groq API key (console.groq.com/keys, no cost).

### Output

```json
{
  "id": "post-1",
  "xThread": ["1/ Hook tweet...", "2/ ...", "3/ ..."],
  "linkedinPost": "Professional-toned post with line breaks...",
  "instagramCaption": "Casual caption with hashtags #tag1 #tag2"
}
```

### Who this is for

- Content creators who write once (blog, newsletter, video script) and need it everywhere
- Social media managers repurposing long-form content on a schedule
- Agents/automations that need multi-platform copy generated from one source

### Pricing

Pay per use -- no subscription:

- $0.01 per run
- $0.03 per piece of content repurposed (all 3 formats included)

# Actor input Schema

## `items` (type: `array`):

Each item needs an "id" and "text" (the source content).

## `groqApiKey` (type: `string`):

Your own free Groq API key (console.groq.com/keys). Required -- keeps the per-item price low since you're not paying for someone else's AI usage.

## Actor input object example

```json
{
  "items": [
    {
      "id": "post-1",
      "text": "Long-form article text goes here... (blog post, transcript, newsletter, etc.)"
    }
  ]
}
```

# Actor output Schema

## `repurposedContent` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "items": [
        {
            "id": "post-1",
            "text": "Long-form article text goes here... (blog post, transcript, newsletter, etc.)"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("victor187/ai-content-repurposer").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "items": [{
            "id": "post-1",
            "text": "Long-form article text goes here... (blog post, transcript, newsletter, etc.)",
        }] }

# Run the Actor and wait for it to finish
run = client.actor("victor187/ai-content-repurposer").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "items": [
    {
      "id": "post-1",
      "text": "Long-form article text goes here... (blog post, transcript, newsletter, etc.)"
    }
  ]
}' |
apify call victor187/ai-content-repurposer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,victor187/ai-content-repurposer"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Aao8BzfN1PjJM4xhx/builds/u796ceMingZcXJi3C/openapi.json