# TikTok User Story Scraper (`powerai/tiktok-user-story-scraper`) Actor Scrape a TikTok userโ€™s current stories with rich metadataโ€”covers, playback URLs, music, stats, and author info. Handles pagination automatically so you can cap how many items you collect. - **URL**: https://apify.com/powerai/tiktok-user-story-scraper.md - **Developed by:** [PowerAI](https://apify.com/powerai) (community) - **Categories:** Social media, Videos, Other - **Stats:** 7 total users, 2 monthly users, 99.4% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 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.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 ## ๐Ÿ“ฑ TikTok User Story Scraper Collect TikTok **Stories** for a given user: each run returns story items with playback URLs, covers, music, engagement stats, and author fields. Results are written to the dataset as structured JSON, with `scrapedAt` on every record. ### โœจ Key Features - ๐Ÿ“ฅ Fetch a userโ€™s active stories via `unique_id` (handle) or `user_id` - ๐Ÿ“Š Per-item metadata including duration, region, titles/descriptions where available - ๐Ÿ”— Direct links for video playback (with and without watermark), covers, and music - ๐Ÿ“ˆ Automatic pagination until `maxResults` is reached or there are no more pages - โฑ๏ธ Short delay between requests to reduce rate pressure - ๐Ÿ“‹ Clean JSON rows ready for pipelines or exports ### ๐Ÿ’ช Why Use This Actor? - **Focused**: Built for the user-story endpoint, not the general post feed - **Flexible**: Identify the account by handle or internal user id - **Bounded**: You set the maximum number of items to collect - **Traceable**: Each row includes `scrapedAt` (ISO time) ### ๐ŸŽฏ Good For - ๐Ÿ“Š Social and content analysts - ๐ŸŽฏ Social media and community managers - ๐Ÿ“ฑ Influencer and brand teams - ๐Ÿ“ˆ Market and competitor research - ๐ŸŽฌ Creators tracking story performance - ๐Ÿ”ฌ Trend and product researchers ### ๐Ÿ“ˆ Example Use Cases 1. **Monitoring**: Snapshot what a public account is posting to Stories 2. **Research**: Compare story cadence and engagement-style fields across accounts 3. **Archiving**: Pull playable URLs and covers for compliance or internal review workflows 4. **Integration**: Feed structured story rows into your own database or BI tools ### ๐Ÿ“ Input | Parameter | Required | Description | |-----------|----------|-------------| | `unique_id` | One of `unique_id` / `user_id` | Handle, with or without `@` | | `user_id` | One of `unique_id` / `user_id` | TikTok user id string | | `maxResults` | No | Max story items to collect (default: `30`) | #### Input example ```json { "unique_id": "@isi.cos", "maxResults": 40 } ```` #### Output example Each dataset item mirrors the API fields for a story clip, plus `scrapedAt`: ```json [ { "aweme_id": "v24044gl0000d6vrm7nog65mkalu8v60", "video_id": "7620014841440341270", "region": "AT", "title": "", "content_desc": [], "cover": "https://p16-pu-sign-no.tiktokcdn-eu.com/...", "duration": 15, "play": "https://v31-jp.tiktokcdn.com/...", "wmplay": "https://v31-jp.tiktokcdn.com/...", "music_info": { "id": "7595742035458444062", "title": "original sound - cartoonnasx", "author": "Cartoonnasx", "original": true, "duration": 22 }, "play_count": 5266, "digg_count": 549, "comment_count": 0, "share_count": 30, "author": { "id": "7128593328456041478", "unique_id": "isi.cos", "nickname": "isi๐Ÿ’•" }, "scrapedAt": "2026-03-23T06:40:35.280Z" } ] ``` # Actor input Schema ## `unique_id` (type: `string`): TikTok handle, with or without @ (e.g. @username or username). Provide this or user\_id. ## `user_id` (type: `string`): Numeric TikTok user id. Provide this or unique\_id. ## `maxResults` (type: `integer`): Maximum number of story items to collect (stops early if the user has fewer). ## Actor input object example ```json { "unique_id": "@isi.cos", "user_id": "7128593328456041478", "maxResults": 30 } ``` # 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 = { "unique_id": "@isi.cos", "user_id": "7128593328456041478", "maxResults": 30 }; // Run the Actor and wait for it to finish const run = await client.actor("powerai/tiktok-user-story-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "unique_id": "@isi.cos", "user_id": "7128593328456041478", "maxResults": 30, } # Run the Actor and wait for it to finish run = client.actor("powerai/tiktok-user-story-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "unique_id": "@isi.cos", "user_id": "7128593328456041478", "maxResults": 30 }' | apify call powerai/tiktok-user-story-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=powerai/tiktok-user-story-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok User Story Scraper", "description": "Scrape a TikTok userโ€™s current stories with rich metadataโ€”covers, playback URLs, music, stats, and author info. Handles pagination automatically so you can cap how many items you collect.", "version": "0.0", "x-build-id": "CAeRzFAx7y3e3mWUY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/powerai~tiktok-user-story-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-powerai-tiktok-user-story-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/powerai~tiktok-user-story-scraper/runs": { "post": { "operationId": "runs-sync-powerai-tiktok-user-story-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/powerai~tiktok-user-story-scraper/run-sync": { "post": { "operationId": "run-sync-powerai-tiktok-user-story-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "unique_id": { "title": "Unique ID", "type": "string", "description": "TikTok handle, with or without @ (e.g. @username or username). Provide this or user_id.", "default": "@isi.cos" }, "user_id": { "title": "User ID", "type": "string", "description": "Numeric TikTok user id. Provide this or unique_id.", "default": "7128593328456041478" }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of story items to collect (stops early if the user has fewer).", "default": 30 } } }, "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 } } } } } } } } } } ```