# Douyin Content Opportunity Finder (`scrupulous_buckler/douyin-content-opportunity-finder`) Actor Turn live Douyin search results into ranked, evidence-backed topic opportunities with hooks, engagement signals, and creator-size context. One $4.99 report returns up to 100 ideas; upstream Douyin Actor charges apply separately. - **URL**: https://apify.com/scrupulous\_buckler/douyin-content-opportunity-finder.md - **Developed by:** [Peng Lyu](https://apify.com/scrupulous_buckler) (community) - **Categories:** Social media, Marketing, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / douyin content opportunity report 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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 ## Douyin Content Opportunity Finder Turn real Douyin keyword-search results into ranked, actionable content ideas. This Actor is for creators, agencies, and brands that need to answer: **what should we publish next, based on evidence rather than generic AI guessing?** ### What it delivers Each result contains: - a 0–100 opportunity score - a recommended topic based on a real high-performing video - a suggested opening hook - transparent reasons for the score - the example video and creator - likes, comments, shares, saves, follower count, and normalized engagement The scoring favors strong engagement relative to creator size, saving and sharing intent, direct keyword relevance, and examples from creators comparable to your account. ### Pricing One completed content opportunity report costs **$4.99** and returns up to 100 ranked opportunities. The report is charged once only after live source data has been collected and at least one qualified opportunity is ready. This Actor's own platform usage is included in the report price. The configured upstream Douyin data Actor charges separately. Its current pricing and platform usage are shown by Apify before the run. Use one to five focused keywords and keep the source-result limit proportional to the research question to control that separate cost. Already have Douyin search data? Paste up to 1,000 compatible records into `uploadedVideos`. The Actor then skips live collection and the separate upstream charge, while applying the same ranking, deduplication, and report pricing. ### Input ```json { "keywords": ["防晒", "敏感肌"], "maxResultsPerKeyword": 50, "publishTime": "one_week", "accountFollowerCount": 10000, "maxOpportunities": 100 } ```` ### Data dependency and cost Without `uploadedVideos`, this Actor calls the configured `sourceActorId` to obtain live Douyin search data. That upstream Actor's pricing, plan limits, and platform usage are charged separately. The default is `vulnv/douyin-search-scraper`. You may replace it with a compatible Actor that returns equivalent fields. This product is independently developed and is not affiliated with Douyin, ByteDance, or the upstream Actor developer. Results are deduplicated by source video URL. A report can return fewer than 100 opportunities when the source contains fewer qualifying, evidence-rich videos. ### Responsible use Use public content lawfully and respect applicable platform terms, privacy, advertising, and data-protection rules. Scores are prioritization signals, not guarantees that a video will perform. # Actor input Schema ## `keywords` (type: `array`): One to five Chinese or English topics, brand names, or hashtags. The Actor merges and deduplicates evidence across keywords. ## `uploadedVideos` (type: `array`): Paste up to 1,000 video records exported from a compatible Douyin Actor. When supplied, this Actor skips the live upstream run and its separate charges. ## `maxResultsPerKeyword` (type: `integer`): Number of live source videos requested for each keyword. The upstream Douyin Actor charges separately. ## `sort` (type: `string`): How the upstream Douyin search results should be ordered. ## `publishTime` (type: `string`): Only analyze videos published within this window. ## `accountFollowerCount` (type: `integer`): Used to favor examples from realistically comparable creators. ## `maxOpportunities` (type: `integer`): Maximum number of ranked opportunities returned in the $4.99 report. ## `sourceActorId` (type: `string`): Advanced: Actor used to obtain source search data. Its charges apply separately. ## Actor input object example ```json { "keywords": [ "防晒", "敏感肌" ], "uploadedVideos": [], "maxResultsPerKeyword": 50, "sort": "general", "publishTime": "one_week", "accountFollowerCount": 10000, "maxOpportunities": 100, "sourceActorId": "vulnv/douyin-search-scraper" } ``` # Actor output Schema ## `dataset` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("scrupulous_buckler/douyin-content-opportunity-finder").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("scrupulous_buckler/douyin-content-opportunity-finder").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 scrupulous_buckler/douyin-content-opportunity-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrupulous_buckler/douyin-content-opportunity-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Douyin Content Opportunity Finder", "description": "Turn live Douyin search results into ranked, evidence-backed topic opportunities with hooks, engagement signals, and creator-size context. One $4.99 report returns up to 100 ideas; upstream Douyin Actor charges apply separately.", "version": "0.1", "x-build-id": "1yVjTE7EwkO4e7FjE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrupulous_buckler~douyin-content-opportunity-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrupulous_buckler-douyin-content-opportunity-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/scrupulous_buckler~douyin-content-opportunity-finder/runs": { "post": { "operationId": "runs-sync-scrupulous_buckler-douyin-content-opportunity-finder", "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/scrupulous_buckler~douyin-content-opportunity-finder/run-sync": { "post": { "operationId": "run-sync-scrupulous_buckler-douyin-content-opportunity-finder", "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": [ "keywords" ], "properties": { "keywords": { "title": "Industry or topic keywords", "minItems": 1, "maxItems": 5, "type": "array", "description": "One to five Chinese or English topics, brand names, or hashtags. The Actor merges and deduplicates evidence across keywords.", "default": [ "防晒", "敏感肌" ], "items": { "type": "string" } }, "uploadedVideos": { "title": "Existing Douyin video data (optional)", "maxItems": 1000, "type": "array", "description": "Paste up to 1,000 video records exported from a compatible Douyin Actor. When supplied, this Actor skips the live upstream run and its separate charges.", "default": [] }, "maxResultsPerKeyword": { "title": "Videos per keyword", "minimum": 10, "maximum": 100, "type": "integer", "description": "Number of live source videos requested for each keyword. The upstream Douyin Actor charges separately.", "default": 50 }, "sort": { "title": "Source search sort", "enum": [ "general", "most_liked", "latest" ], "type": "string", "description": "How the upstream Douyin search results should be ordered.", "default": "general" }, "publishTime": { "title": "Published in", "enum": [ "unlimited", "one_day", "one_week", "half_year" ], "type": "string", "description": "Only analyze videos published within this window.", "default": "one_week" }, "accountFollowerCount": { "title": "Your account follower count", "minimum": 0, "type": "integer", "description": "Used to favor examples from realistically comparable creators.", "default": 10000 }, "maxOpportunities": { "title": "Maximum ranked opportunities", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of ranked opportunities returned in the $4.99 report.", "default": 100 }, "sourceActorId": { "title": "Upstream Douyin data Actor", "type": "string", "description": "Advanced: Actor used to obtain source search data. Its charges apply separately.", "default": "vulnv/douyin-search-scraper" } } }, "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 } } } } } } } } } } ```