# TikTok Ads Library Scraper (`codingfrontend/tiktok-ads-library-scraper`) Actor Scrapes TikTok Ads Library (library.TikTok.com/ads) for ad creatives, advertiser details, engagement metrics, and video URLs. - **URL**: https://apify.com/codingfrontend/tiktok-ads-library-scraper.md - **Developed by:** [codingfrontend](https://apify.com/codingfrontend) (community) - **Categories:** Social media, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## TikTok Ads Library Scraper Apify actor to scrape ad creatives, advertiser details, engagement metrics, and video URLs from the [TikTok Ads Library](https://library.tiktok.com/ads). ### Features - Search TikTok Ads Library by keyword or brand name - Filter ads by country/region - Extract ad text, advertiser names, dates, platform, and engagement metrics - Capture direct video URLs for ad creatives - Automatic scrolling and "Load More" handling - Proxy support for reliable scraping ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `query` | string | `"fitness"` | Keyword or phrase to search for | | `country` | string | `"DE"` | ISO 3166-1 alpha-2 country code for EU/EEA countries only. TikTok Ads Library is limited to European Economic Area (e.g. DE, FR, GB, IT, ES, NL, PL, AT). US/IN/AU are not supported. | | `maxItems` | integer | `50` | Maximum number of ads to scrape (1–1000) | | `proxyConfiguration` | object | Apify Proxy | Proxy settings for the browser | #### Example Input ```json { "query": "fitness", "country": "DE", "maxItems": 10 } ```` ### Output Each scraped ad contains: | Field | Type | Description | |-------|------|-------------| | `position` | integer | Position/rank in search results | | `advertiserName` | string | Name of the advertiser running the ad | | `adText` | string | Text/caption content of the ad creative | | `firstShown` | string | Date when the ad was first displayed | | `lastShown` | string | Date when the ad was last displayed | | `platform` | string | Platform(s) where the ad was shown (e.g. TikTok, Pangle) | | `link` | string | Destination URL or detail page link | | `videoUrl` | string | Direct URL to the ad video creative | | `likes` | string | Number of likes/reactions on the ad | | `scrapedAt` | string | ISO timestamp of when the data was scraped | #### Example Output ```json { "position": 1, "advertiserName": "FitGear Pro", "adText": "Transform your workout with our new resistance bands!", "firstShown": "Dec 10, 2024", "lastShown": "Jan 5, 2025", "platform": "TikTok", "link": "https://library.tiktok.com/ads/detail/12345", "videoUrl": "https://v16-webapp-prime.tiktok.com/video/example.mp4", "likes": "1.2K", "scrapedAt": "2025-01-15T10:30:00.000Z" } ``` ### Usage #### Apify Console 1. Go to the actor's page on Apify Console 2. Set the input parameters 3. Click "Start" #### API ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_TOKEN' }); const run = await client.actor('your-username/tiktok-ads-library-scraper').call({ query: 'fitness', country: 'DE', maxItems: 50, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` ### Local Development ```bash npm install npm start ``` ### Project Structure ``` src/ ├── main.js # Actor entry point — reads input, configures crawler ├── constants.js # Shared constants (URLs, selectors, limits) ├── routes.js # Crawler route handlers (SEARCH) └── utils/ ├── extraction.js # Ad data extraction from page DOM ├── browser.js # Consent banners, country filter, search input helpers └── scrolling.js # Load-more / infinite scroll helpers ``` # Actor input Schema ## `query` (type: `string`): The keyword or phrase to search for in TikTok Ads Library. ## `country` (type: `string`): ISO 3166-1 alpha-2 code for EU/EEA ad target country (TikTok Ads Library only supports European Economic Area countries: AT, BE, BG, HR, CY, CZ, DK, EE, FI, FR, DE, GR, HU, IS, IE, IT, LV, LI, LT, LU, MT, NL, NO, PL, PT, RO, SK, SI, ES, SE, GB). Defaults to DE. ## `maxItems` (type: `integer`): Maximum number of ads to scrape. ## `proxyConfiguration` (type: `object`): Proxy settings for the browser. Use Apify Proxy or custom proxies. ## Actor input object example ```json { "query": "fitness", "country": "DE", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "query": "fitness", "country": "DE", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("codingfrontend/tiktok-ads-library-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 = { "query": "fitness", "country": "DE", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("codingfrontend/tiktok-ads-library-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 '{ "query": "fitness", "country": "DE", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true } }' | apify call codingfrontend/tiktok-ads-library-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/tiktok-ads-library-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Ads Library Scraper", "description": "Scrapes TikTok Ads Library (library.TikTok.com/ads) for ad creatives, advertiser details, engagement metrics, and video URLs.", "version": "1.0", "x-build-id": "T4yZydXYgdtfPaGw1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~tiktok-ads-library-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-tiktok-ads-library-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codingfrontend~tiktok-ads-library-scraper/runs": { "post": { "operationId": "runs-sync-codingfrontend-tiktok-ads-library-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codingfrontend~tiktok-ads-library-scraper/run-sync": { "post": { "operationId": "run-sync-codingfrontend-tiktok-ads-library-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Search Query", "type": "string", "description": "The keyword or phrase to search for in TikTok Ads Library." }, "country": { "title": "Country Code", "type": "string", "description": "ISO 3166-1 alpha-2 code for EU/EEA ad target country (TikTok Ads Library only supports European Economic Area countries: AT, BE, BG, HR, CY, CZ, DK, EE, FI, FR, DE, GR, HU, IS, IE, IT, LV, LI, LT, LU, MT, NL, NO, PL, PT, RO, SK, SI, ES, SE, GB). Defaults to DE." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of ads to scrape." }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the browser. Use Apify Proxy or custom proxies." } } }, "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 } } } } } } } } } } ```