Tweet Style Content Generator avatar
Tweet Style Content Generator

Pricing

Pay per event

Go to Store
Tweet Style Content Generator

Tweet Style Content Generator

Developed by

Jan Hranicky

Jan Hranicky

Maintained by Community

Turn Any Link or Topic into Ready-to-Post Tweets 🚀 This actor grabs content from a URL or search query and turns it into short, tweet-style posts using AI. Customize the tone, language, emoji use, and target audience to match your vibe. Perfect for quick social recaps. Outputs come in clean JSON.

0.0 (0)

Pricing

Pay per event

0

1

1

Last modified

11 days ago

You can access the Tweet Style Content Generator programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

{
"openapi": "3.0.1",
"info": {
"version": "0.0",
"x-build-id": "FkxIY8M2gUy3c6ZS2"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/jan.hranicky~tweet-style-content-generator/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-jan.hranicky-tweet-style-content-generator",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/jan.hranicky~tweet-style-content-generator/runs": {
"post": {
"operationId": "runs-sync-jan.hranicky-tweet-style-content-generator",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/jan.hranicky~tweet-style-content-generator/run-sync": {
"post": {
"operationId": "run-sync-jan.hranicky-tweet-style-content-generator",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"required": [
"query"
],
"properties": {
"query": {
"title": "Search term or URL",
"pattern": "[^\\s]+",
"type": "string",
"description": "Enter Google Search keywords or a URL of a specific web page. The keywords might include the [advanced search operators](https://blog.apify.com/how-to-scrape-google-like-a-pro/). Examples:\n\n- <code>san francisco weather</code>\n- <code>https://www.cnn.com</code>\n- <code>function calling site:openai.com</code>",
"default": "https://apify.com/jan.hranicky/tweet-style-content-generator"
},
"language": {
"title": "Language",
"type": "string",
"description": "enter a language the tweets will be generated in",
"default": "english"
},
"audience": {
"title": "Target audience of the content",
"type": "string",
"description": "enter a description of the target audience that will be passed into the LLM",
"default": "casual"
},
"emojiUsage": {
"title": "Emoji usage",
"enum": [
"none",
"light",
"heavy"
],
"type": "string",
"description": "enter a quantity of emojis used in generated post",
"default": "light"
},
"maxTweets": {
"title": "Maximum number of tweets",
"minimum": 1,
"maximum": 10,
"type": "integer",
"description": "enter a maximum number of chained tweets (1/X, 2/X, ...) generated",
"default": 3
},
"maxResults": {
"title": "Maximum number of results by the RAG web browser",
"minimum": 1,
"maximum": 10,
"type": "integer",
"description": "enter a maximum number of results returned by the RAG web browser",
"default": 3
},
"scrapperMemoryLimit": {
"title": "Memory limit of the RAG web scrapper",
"minimum": 1024,
"type": "integer",
"description": "set memory limit of the scrapper actor. Memory limits of (tweet-style-content-generator)+(rag-web-browser) need to be <= your memory limit",
"default": 4096
},
"llmModel": {
"title": "LLM Model",
"enum": [
"claude-opus-4-20250514",
"claude-sonnet-4-20250514",
"claude-3-5-haiku-latest"
],
"type": "string",
"description": "enter llm model used to generate tweet, each model is priced differently see pay-per-event pricing",
"default": "claude-3-5-haiku-latest"
}
}
},
"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
}
}
}
}
}
}
}
}
}
}

Tweet Style Content Generator OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Tweet Style Content Generator from the options below:

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients: