# Tiktok AI Summary Scraper (`eynzo/tiktok-ai-summary-scraper`) Actor Retrieve TikTok's AI-generated metadata (CustomTDK) for any video by ID. This includes AI-produced titles, descriptions, and SEO keywords that TikTok internally generates for its content. - **URL**: https://apify.com/eynzo/tiktok-ai-summary-scraper.md - **Developed by:** [Eynzo](https://apify.com/eynzo) (community) - **Categories:** Social media, Videos - **Stats:** 1 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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/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 ## TikTok Video AI Analysis (CustomTDK) Fetch TikTok's **AI-generated metadata** (CustomTDK) for a list of video IDs — including AI-generated titles, descriptions, and keywords. ### What is CustomTDK? TikTok internally generates AI-powered TDK (Title, Description, Keywords) metadata for videos. This Actor retrieves that metadata via TikTok's CustomTDK API, which is useful for: - **SEO research** — discover how TikTok understands and categorizes video content - **Content analysis** — extract AI-generated descriptions and keywords at scale - **Trend monitoring** — identify keyword patterns across large sets of videos ### Input | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `videoIds` | string[] | ✅ | — | List of TikTok video IDs | | `concurrency` | integer | ❌ | 20 | Max concurrent requests (1–100) | | `maxRetries` | integer | ❌ | 3 | Retry attempts per video (0–10) | | `proxyConfig` | object | ❌ | Apify Proxy | Proxy configuration | #### Example input ```json { "videoIds": [ "7510023794342333739", "7388654120928311585" ], "concurrency": 20, "maxRetries": 3 } ```` ### Output Each video produces one record in the default dataset with the following structure: #### Successful result (`status: "completed"`) When AI analysis data is available (~30–40% of videos): ```json { "id": "7510023794342333739", "status": "completed", "data": { "extra": { "fatal_item_ids": [], "logid": "202603150306092BA646A8B0E626572C76", "now": 1773543969000 }, "itemCustomTDK": { "article": "", "desc": "¡Descubre la dedicación en el gimnasio con un toque divertido! Inspírate y ríete con nuestras gym baddies. #gymtok #gym #gymmotivation #funny", "keywords": [ "dedicación en el gimnasio", "gym baddie motivación", "videos de motivación de gimnasio", "chicas de gimnasio", "risas en el gimnasio", "motivación para el entrenamiento", "gym motivation mujeres", "motivación de entrenamiento divertido", "gym girls videos", "momentos graciosos en el gimnasio" ], "title": "La dedicación en el gimnasio: Motivación y risas" }, "log_pb": { "impr_id": "202603150306092BA646A8B0E626572C76" }, "statusCode": 0, "status_code": 0, "status_msg": "" }, "fetchedAt": "2026-03-15T03:06:09.000Z" } ``` **Key fields in `itemCustomTDK`:** | Field | Description | |-------|-------------| | `title` | AI-generated title for the video | | `desc` | AI-generated description with hashtags | | `keywords` | Array of AI-generated SEO keywords | | `article` | Long-form article content (if available) | #### Empty result (`status: "empty"`) When no AI analysis data exists for the video: ```json { "id": "7388654120928311585", "status": "empty", "data": null, "fetchedAt": "2026-03-15T03:06:09.000Z" } ``` #### Failed result (`status: "failed"`) When all retry attempts are exhausted: ```json { "id": "0000000000000000000", "status": "failed", "data": null, "fetchedAt": "2026-03-15T03:06:09.000Z" } ``` ### Pricing This Actor uses a **Pay-Per-Event** pricing model. | Event | Price | Description | |-------|-------|-------------| | `result-with-data` | **$0.50 per 1,000 results** ($0.0005 each) | Charged only when a video successfully returns AI analysis data | **You are NOT charged for:** - Videos that return no data (`status: "empty"`) - Failed requests (`status: "failed"`) > ⚠️ **Note:** Due to TikTok's API behavior, only ~30–40% of videos have CustomTDK data available. You will only be billed for those that do. #### Cost estimation | Videos queried | ~Results with data (35%) | Estimated cost | |---------------|--------------------------|----------------| | 1,000 | ~350 | ~$0.18 | | 10,000 | ~3,500 | ~$1.75 | | 100,000 | ~35,000 | ~$17.50 | # Actor input Schema ## `videoIds` (type: `array`): List of TikTok video IDs to fetch AI analysis (CustomTDK) data for. ## `concurrency` (type: `integer`): Maximum number of concurrent requests. ## `maxRetries` (type: `integer`): Maximum number of retry attempts per video ID. ## `proxyConfig` (type: `object`): Apify proxy configuration. ## Actor input object example ```json { "concurrency": 20, "maxRetries": 3, "proxyConfig": { "useApifyProxy": true } } ``` # Actor output Schema ## `videoAnalysis` (type: `string`): Dataset containing AI-generated metadata (title, description, keywords, article) for each video ID # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("eynzo/tiktok-ai-summary-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {} # Run the Actor and wait for it to finish run = client.actor("eynzo/tiktok-ai-summary-scraper").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 '{}' | apify call eynzo/tiktok-ai-summary-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=eynzo/tiktok-ai-summary-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tiktok AI Summary Scraper", "description": "Retrieve TikTok's AI-generated metadata (CustomTDK) for any video by ID. This includes AI-produced titles, descriptions, and SEO keywords that TikTok internally generates for its content.", "version": "0.0", "x-build-id": "jObNfYOwxTUO0JgvT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/eynzo~tiktok-ai-summary-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-eynzo-tiktok-ai-summary-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/eynzo~tiktok-ai-summary-scraper/runs": { "post": { "operationId": "runs-sync-eynzo-tiktok-ai-summary-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/eynzo~tiktok-ai-summary-scraper/run-sync": { "post": { "operationId": "run-sync-eynzo-tiktok-ai-summary-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "videoIds" ], "properties": { "videoIds": { "title": "Video IDs", "type": "array", "description": "List of TikTok video IDs to fetch AI analysis (CustomTDK) data for.", "items": { "type": "string" } }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of concurrent requests.", "default": 20 }, "maxRetries": { "title": "Max Retries", "minimum": 0, "maximum": 10, "type": "integer", "description": "Maximum number of retry attempts per video ID.", "default": 3 }, "proxyConfig": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy configuration.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```