# CapCut Trending Templates Scraper (`rp_openpro.ai/capcut-trending-scraper`) Actor Discover best trending CapCut templates ranked by usage. No login, no API key, no proxy required. - **URL**: https://apify.com/rp\_openpro.ai/capcut-trending-scraper.md - **Developed by:** [Rémi Pelloux](https://apify.com/rp_openpro.ai) (community) - **Categories:** AI, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## CapCut Trending Templates Scraper Scrape **thousands of trending CapCut templates** — by category or by keyword — ranked by usage. No login, no API key, no proxy required. **From $2.00 / 1,000 templates** — **10 free templates** to test. ### What you get This actor paginates CapCut's live template feed and returns full, structured records for every template — not just the handful shown on the homepage. - **Browse any category** (For You, TikTok, Memes, Velocity, Lyrics, Business, Effects, Fandom, Lifestyle, Friends) — each has **thousands** of templates - **Keyword search** — find templates for any topic (`gym`, `birthday`, `travel`, `wedding`, …), up to ~200 per keyword - **Deep pagination** — set `limit` to 1,000+ and the actor keeps fetching pages until it hits your target - Ranked by **usage** (the primary trending signal) - Full metrics per template: plays, uses, likes, favorites, exposure, velocity (uses/day) - Cover image, preview **video URL**, author, duration, template detail URL - Lightweight HTTP-only actor — no browser, fast and cheap ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `limit` | integer | `100` | Max templates to return (sorted by usage). Set high to scrape thousands. | | `category` | string | `For You` | Trending category to scrape (ignored when `keywords` is set). | | `keywords` | array | `[]` | Search by keyword instead of a category. Each keyword returns up to ~200 templates. | | `sinceDays` | integer | `0` | Only keep templates created within N days (`0` = no filter). Category mode only. | #### Example — top 500 trending Memes ```json { "limit": 500, "category": "Memes" } ```` #### Example — keyword search ```json { "limit": 200, "keywords": ["gym", "birthday", "travel"] } ``` ### Output (dataset) Each row includes: - `id` — `capcut-{web_id}`, `webId`, `title`, `url`, `summary`, `topics` - `usageAmount`, `playAmount`, `likeCount`, `favoriteCount`, `exposureAmount`, `velocity` - `publishedAt`, `createTime`, `durationMs` - `coverUrl`, `videoUrl`, `templateUrl`, `authorName`, `authorUid` - Run metadata is stored in key-value store key `OUTPUT_META` ### Pricing | Tier | Per 1,000 templates | |---|---:| | **Standard** | **$2.00** | | Free trial | **10 templates** | **Billing event:** **`template`** — one charge per dataset row (paying users only). The actor calls `Actor.charge({ eventName: 'template', count })` before each `pushData` batch. Do **not** enable synthetic `apify-default-dataset-item` on this Actor (that would double-bill). #### Apify Console setup (required for revenue) 1. **Publication → Monetization → Pay-per-event** 2. Add custom event: **`template`** 3. Set price: **$0.002** per event (= **$2.00 / 1,000** templates) 4. Publish the Actor ### Quick start ```python from apify_client import ApifyClient client = ApifyClient("YOUR_TOKEN") run = client.actor("IgMcRLhlRllSs4EIV").call(run_input={ "limit": 200, "category": "TikTok", }) for row in client.dataset(run["defaultDatasetId"]).iterate_items(): print(row["usageAmount"], row["title"][:50], row["url"]) ``` ### Notes - Templates are fetched from CapCut's private template API (the same one the public web app uses), so results match what users see in the gallery. - `velocity` = `usageAmount / days since creation`, useful for spotting fast-rising templates. # Actor input Schema ## `limit` (type: `integer`): Maximum number of templates to return (sorted by usage). The actor paginates the full feed — set this high (e.g. 1000+) to scrape thousands. ## `category` (type: `string`): Trending category to scrape (ignored when keywords are provided). Each category has thousands of templates. ## `keywords` (type: `array`): Search templates by keyword instead of browsing a category. Each keyword returns up to ~200 matching templates. Leave empty to scrape the selected category feed. ## `sinceDays` (type: `integer`): Only keep templates created within this many days (0 = no date filter). Applies to category mode. ## Actor input object example ```json { "limit": 100, "category": "For You", "keywords": [], "sinceDays": 0 } ``` # Actor output Schema ## `templates` (type: `string`): Dataset of CapCut trending template objects. # 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 = { "limit": 100, "category": "For You", "keywords": [], "sinceDays": 0 }; // Run the Actor and wait for it to finish const run = await client.actor("rp_openpro.ai/capcut-trending-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 = { "limit": 100, "category": "For You", "keywords": [], "sinceDays": 0, } # Run the Actor and wait for it to finish run = client.actor("rp_openpro.ai/capcut-trending-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 '{ "limit": 100, "category": "For You", "keywords": [], "sinceDays": 0 }' | apify call rp_openpro.ai/capcut-trending-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rp_openpro.ai/capcut-trending-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CapCut Trending Templates Scraper", "description": "Discover best trending CapCut templates ranked by usage. No login, no API key, no proxy required.", "version": "2.0", "x-build-id": "n8gxJEg3SGgCdEEB4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rp_openpro.ai~capcut-trending-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rp_openpro.ai-capcut-trending-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/rp_openpro.ai~capcut-trending-scraper/runs": { "post": { "operationId": "runs-sync-rp_openpro.ai-capcut-trending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/rp_openpro.ai~capcut-trending-scraper/run-sync": { "post": { "operationId": "run-sync-rp_openpro.ai-capcut-trending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "limit": { "title": "Max templates", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of templates to return (sorted by usage). The actor paginates the full feed — set this high (e.g. 1000+) to scrape thousands.", "default": 100 }, "category": { "title": "Category", "enum": [ "For You", "TikTok", "Lyrics", "Business", "Velocity", "Memes", "Effects", "Fandom", "Lifestyle", "Friends" ], "type": "string", "description": "Trending category to scrape (ignored when keywords are provided). Each category has thousands of templates.", "default": "For You" }, "keywords": { "title": "Keywords (optional)", "type": "array", "description": "Search templates by keyword instead of browsing a category. Each keyword returns up to ~200 matching templates. Leave empty to scrape the selected category feed.", "items": { "type": "string" } }, "sinceDays": { "title": "Created within (days, optional)", "minimum": 0, "maximum": 365, "type": "integer", "description": "Only keep templates created within this many days (0 = no date filter). Applies to category mode.", "default": 0 } } }, "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 } } } } } } } } } } ```