# Tool: LinkedIn Post Generator (`scrapers_lat/linkedin-post-generator-tool`) Actor
Generate LinkedIn posts with a strong first line hook and natural line breaks that read like a real person wrote them, with no engagement bait and no em dashes. Paid Apify plans only.
- **URL**: https://apify.com/scrapers\_lat/linkedin-post-generator-tool.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** AI, Social media, Marketing
- **Stats:** 2 total users, 1 monthly users, 75.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $40.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
[](https://console.apify.com/actors/linkedin-post-generator-tool)
## Tool: LinkedIn Post Generator
> Turn a topic into a ready to post LinkedIn update with a strong first line hook and clean line breaks, written in a voice that reads like a real person and not a bot.
Hook first earns the see more click
Reads human no cliches, no engagement bait
Mobile ready short paragraphs, clean breaks
### What it does
Give it a topic and pick a tone. It writes a full LinkedIn post with a hook in the first line, short paragraphs that are easy to read on a phone, and an optional call to action. You get back a clean, structured record:
- **post**, the full text with line breaks ready to paste
- **hook**, the opening line built to earn the see more click
- **cta**, the closing call to action
- **hashtags** when you ask for them, 3 to 5 relevant tags
- **characterCount** so you can see it fits comfortably
No em dashes, no bot voice, and no cringe engagement bait like "Agree?" or "Thoughts?". Just a post you would actually be happy to publish.
### Paid plans only
This tool runs on the latest, most reliable premium AI models. Because each run has a real model cost, it is available to paid Apify accounts only. A run started from a free account stops immediately with an upgrade message. Upgrade your Apify subscription to a paid plan and run it again.
### Who is it for
| Use case | Who benefits |
|---|---|
| Founders and executives | Post consistently without the blank page |
| Ghostwriters | Draft client posts in a natural voice fast |
| Marketers | Keep a content calendar full and on brand |
| Job seekers | Share wins and lessons that get seen |
### Input
- **topic**: what the post should be about.
- **tone**: professional, personal story or contrarian.
- **cta**: optional call to action to close the post.
- **hashtags**: turn on to add 3 to 5 relevant hashtags.
### Notes
- The post is kept within LinkedIn friendly length and validated before it is returned.
- Review and edit before you post. You know your audience and voice best.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [LinkedIn Post About a Career Milestone](https://apify.com/scrapers_lat/linkedin-post-generator-tool/examples/lipost-linkedin-post-career-milestone): Write a LinkedIn post announcing a career milestone that celebrates the win and invites your network to engage.
- [LinkedIn Post on Lessons From Failure](https://apify.com/scrapers_lat/linkedin-post-generator-tool/examples/lipost-linkedin-post-lessons-from-failure): Create a story driven LinkedIn post about lessons from a failed project that builds trust and starts real conversations.
- [LinkedIn Post for a Hiring Announcement](https://apify.com/scrapers_lat/linkedin-post-generator-tool/examples/lipost-linkedin-post-hiring-announcement): Write a LinkedIn hiring post that attracts strong candidates and encourages your network to share the open role.
- [LinkedIn Post With a Contrarian Take](https://apify.com/scrapers_lat/linkedin-post-generator-tool/examples/lipost-linkedin-post-contrarian-industry-take): Generate a contrarian LinkedIn post that challenges a common industry belief, sparks real debate and grows your reach in the feed.
- [LinkedIn Post for a Product Launch](https://apify.com/scrapers_lat/linkedin-post-generator-tool/examples/lipost-linkedin-post-product-launch): Write a LinkedIn post announcing a product launch that explains the value clearly and drives your network to try it right away.
- [LinkedIn Post on a Personal Growth Story](https://apify.com/scrapers_lat/linkedin-post-generator-tool/examples/lipost-linkedin-post-personal-growth-story): Create a LinkedIn story post about overcoming imposter syndrome that connects with readers and drives comments.
- [LinkedIn Post Recapping an Event](https://apify.com/scrapers_lat/linkedin-post-generator-tool/examples/lipost-linkedin-post-event-recap): Write a LinkedIn post recapping a conference that shares key takeaways and keeps the momentum going with your network.
- [LinkedIn Post on an Industry Trend](https://apify.com/scrapers_lat/linkedin-post-generator-tool/examples/lipost-linkedin-post-thought-leadership-trend): Generate a thought leadership LinkedIn post on an industry trend that positions you as an expert worth following.
- [LinkedIn Post Thanking Your Team](https://apify.com/scrapers_lat/linkedin-post-generator-tool/examples/lipost-linkedin-post-gratitude-team-shoutout): Write a LinkedIn post thanking your team after a big project that builds culture and shows authentic leadership.
- [LinkedIn Post With Freelancer Tips](https://apify.com/scrapers_lat/linkedin-post-generator-tool/examples/lipost-linkedin-post-freelancer-tips): Create a LinkedIn post sharing practical freelancing tips that helps your network and drives saves and comments.
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
Built by [scrapers.lat](https://scrapers.lat).
# Actor input Schema
## `topic` (type: `string`):
What the LinkedIn post should be about. Be as specific as you like.
## `tone` (type: `string`):
Optional voice for the post.
## `cta` (type: `string`):
Optional call to action to close the post, for example a link, a question or an ask.
## `hashtags` (type: `boolean`):
Include 3 to 5 relevant hashtags at the end.
## Actor input object example
```json
{
"topic": "why we moved off spreadsheets to a real CRM",
"hashtags": false
}
````
# Actor output Schema
## `results` (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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"topic": "why we moved off spreadsheets to a real CRM"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/linkedin-post-generator-tool").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "topic": "why we moved off spreadsheets to a real CRM" }
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/linkedin-post-generator-tool").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"topic": "why we moved off spreadsheets to a real CRM"
}' |
apify call scrapers_lat/linkedin-post-generator-tool --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/linkedin-post-generator-tool",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Tool: LinkedIn Post Generator",
"description": "Generate LinkedIn posts with a strong first line hook and natural line breaks that read like a real person wrote them, with no engagement bait and no em dashes. Paid Apify plans only.",
"version": "0.1",
"x-build-id": "4A9sSaR1DOJHwnkVb"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~linkedin-post-generator-tool/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-linkedin-post-generator-tool",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~linkedin-post-generator-tool/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-linkedin-post-generator-tool",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~linkedin-post-generator-tool/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-linkedin-post-generator-tool",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"topic": {
"title": "Topic",
"type": "string",
"description": "What the LinkedIn post should be about. Be as specific as you like."
},
"tone": {
"title": "Tone",
"enum": [
"professional",
"story",
"contrarian"
],
"type": "string",
"description": "Optional voice for the post."
},
"cta": {
"title": "Call to action",
"type": "string",
"description": "Optional call to action to close the post, for example a link, a question or an ask."
},
"hashtags": {
"title": "Add hashtags",
"type": "boolean",
"description": "Include 3 to 5 relevant hashtags at the end.",
"default": false
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```