# Article Repurposer (`uduzgun/article-repurposer`) Actor Turn one article URL or pasted draft into an X thread, LinkedIn post, newsletter section, meta variants, and FAQ. - **URL**: https://apify.com/uduzgun/article-repurposer.md - **Developed by:** [Uygar Duzgun](https://apify.com/uduzgun) (community) - **Categories:** Agents, E-commerce, SEO tools - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1,000.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Article Repurposer Turn one article into a week of distribution assets. This Actor calls the Uygar Content API at `/api/v1/repurpose`, reads a public article URL or pasted article text, and writes one dataset item with selected output formats. It is output only. It does not post to X, LinkedIn, email software, a CMS, or the owner site. ### Who it is for - Content teams that already have articles but need distribution material. - SEO consultants preparing customer handoffs. - Agencies that want social, newsletter, metadata, and FAQ drafts from one source article. - Operators using the Uygar SEO article actors and needing downstream assets after drafting or rewriting. ### What it does - Creates an X thread. - Creates a LinkedIn post. - Creates a newsletter section. - Creates title and description variants. - Creates FAQ items from the article content. - Lets you choose only the formats you need. ### Use cases - Turn a finished blog post into social drafts. - Create newsletter copy from an article without rewriting from scratch. - Generate meta title and description variants for editorial review. - Add FAQ candidates to a content brief or CMS task. - Package article distribution assets for a client. ### Input - `articleUrl`: public article URL to repurpose. Provide this or `articleText`. - `articleText`: pasted article text or markdown. Provide this or `articleUrl`. - `title`: optional title override. - `formats`: output formats to generate. Defaults to all five. - `language`: `en` or `sv`. Defaults to `en`. - `brandVoice`: optional voice notes. - `ctaUrl`: optional link the assets should point to. Defaults to the source URL when `articleUrl` is provided. Advanced/private inputs: - `apiKey`: optional customer-scoped Uygar Content API key override. Leave it blank on public Store runs. ### Example inputs ```json { "articleUrl": "https://example.com/blog/ai-support-automation", "formats": ["x_thread", "linkedin_post", "meta_variants"], "language": "en", "brandVoice": "Direct, practical, no hype.", "ctaUrl": "https://example.com/contact" } ```` ```json { "articleText": "# AI automation for support teams\n\nPaste the article markdown here.", "formats": ["newsletter_section", "faq"], "language": "sv" } ``` ### Output Each successful run returns one dataset item with: - request ID - source and source URL - title and language - X thread tweets - LinkedIn post text - newsletter subject and body - meta title variants - meta description variants - FAQ items - formats returned ### Limits This Actor does not publish anywhere and does not guarantee engagement, clicks, rankings, or conversions. Review outputs before publishing. Check facts, brand voice, regulated claims, and links. # Actor input Schema ## `apiKey` (type: `string`): Optional advanced override. Leave blank on public Store runs; the Actor owner should configure UYGAR\_CONTENT\_API\_KEY as a secret environment variable. ## `articleUrl` (type: `string`): Public article URL to repurpose. Provide this or articleText. ## `articleText` (type: `string`): Pasted article text or markdown. Provide this or articleUrl. ## `title` (type: `string`): Optional title to use for pasted text or to override fetched page title. ## `formats` (type: `array`): Distribution assets to generate. ## `language` (type: `string`): Output language. ## `brandVoice` (type: `string`): Optional voice notes for the generated assets. ## `ctaUrl` (type: `string`): Optional link the assets should point to. Defaults to the source URL when articleUrl is provided. ## Actor input object example ```json { "articleText": "# AI automation for support teams\n\nPaste the article text here, or provide articleUrl instead.", "formats": [ "x_thread", "linkedin_post", "newsletter_section", "meta_variants", "faq" ], "language": "en" } ``` # Actor output Schema ## `results` (type: `string`): Default dataset items containing distribution assets generated from one article. # 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 = { "articleText": `# AI automation for support teams Paste the article text here, or provide articleUrl instead.` }; // Run the Actor and wait for it to finish const run = await client.actor("uduzgun/article-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "articleText": """# AI automation for support teams Paste the article text here, or provide articleUrl instead.""" } # Run the Actor and wait for it to finish run = client.actor("uduzgun/article-repurposer").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 '{ "articleText": "# AI automation for support teams\\n\\nPaste the article text here, or provide articleUrl instead." }' | apify call uduzgun/article-repurposer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=uduzgun/article-repurposer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Article Repurposer", "description": "Turn one article URL or pasted draft into an X thread, LinkedIn post, newsletter section, meta variants, and FAQ.", "version": "0.1", "x-build-id": "ajwYiZfycwbGZMD9J" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/uduzgun~article-repurposer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-uduzgun-article-repurposer", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/uduzgun~article-repurposer/runs": { "post": { "operationId": "runs-sync-uduzgun-article-repurposer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/uduzgun~article-repurposer/run-sync": { "post": { "operationId": "run-sync-uduzgun-article-repurposer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "apiKey": { "title": "Uygar Content API key", "type": "string", "description": "Optional advanced override. Leave blank on public Store runs; the Actor owner should configure UYGAR_CONTENT_API_KEY as a secret environment variable." }, "articleUrl": { "title": "Article URL", "type": "string", "description": "Public article URL to repurpose. Provide this or articleText." }, "articleText": { "title": "Article text or markdown", "type": "string", "description": "Pasted article text or markdown. Provide this or articleUrl." }, "title": { "title": "Title override", "type": "string", "description": "Optional title to use for pasted text or to override fetched page title." }, "formats": { "title": "Output formats", "type": "array", "description": "Distribution assets to generate.", "items": { "type": "string", "enum": [ "x_thread", "linkedin_post", "newsletter_section", "meta_variants", "faq" ], "enumTitles": [ "X thread", "LinkedIn post", "Newsletter section", "Meta variants", "FAQ" ] }, "default": [ "x_thread", "linkedin_post", "newsletter_section", "meta_variants", "faq" ] }, "language": { "title": "Language", "enum": [ "en", "sv" ], "type": "string", "description": "Output language.", "default": "en" }, "brandVoice": { "title": "Brand voice", "type": "string", "description": "Optional voice notes for the generated assets." }, "ctaUrl": { "title": "CTA URL", "type": "string", "description": "Optional link the assets should point to. Defaults to the source URL when articleUrl is provided." } } }, "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 } } } } } } } } } } ```