# Short-Form Video Product/Mention Finder (`rainminer/creator-product-mention-miner`) Actor AI-powered extractor of brand or product mentions on Instagram Reels / TikTok / YouTube Shorts. Built for influencer marketing attribution, UGC brand monitoring, affiliate tracking, competitive intelligence, and creator-economy analytics at scale. - **URL**: https://apify.com/rainminer/creator-product-mention-miner.md - **Developed by:** [rainminer](https://apify.com/rainminer) (community) - **Categories:** AI, Social media, Videos - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.90 / 1,000 videos 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 The **Creator Product Mention Miner** is an Apify Actor that turns unstructured creator videos into structured brand and product intelligence. Feed it public Instagram Reels, TikTok videos, or YouTube content and receive a flat dataset of every product mentioned — with brand, sentiment, sponsorship signals, promo codes, and timestamps — ready for analytics, monitoring, and attribution pipelines. --- ### Key Features - **Multi-platform**: Works with Instagram Reels, TikTok, and YouTube (Shorts and standard watch URLs). - **Audio + visual analysis**: Detects products mentioned in speech, on-screen overlays, packaging, and link stickers. - **Flat mention rows**: One dataset row per product mention for easy filtering and aggregation. - **Creator metadata**: Captures creator handle and display name when available. - **Sponsorship detection**: Flags disclosed ads, gifts, and affiliate relationships per product. - **Promo capture**: Extracts discount codes and price/deal text as stated in the video. - **Sentiment per mention**: Positive, neutral, negative, or mixed tone toward each product. - **No login required**: Processes any public video URL supported by the platform. --- ### Why Mine Product Mentions from Creator Videos? Brands spend billions on creator marketing, but most product mentions live only inside video — never indexed as structured data. Creators announce launches, reviews, and promo codes in Reels and TikToks faster than any spreadsheet can track. This Actor makes that content machine-readable for: - **Brand monitoring and share-of-voice** tracking who mentions your products and competitors. - **Creator marketing attribution** connecting unpaid UGC and paid partnerships to specific products. - **Affiliate and promo intelligence** harvesting discount codes and offer language at scale. - **Competitive intelligence** comparing how rivals are positioned in creator content. - **Market research** studying category trends, sentiment, and pricing mentions in UGC. --- ### Who Is It For? - **Brand and growth teams** monitoring creator and influencer mentions across platforms. - **Affiliate and partnership managers** tracking codes, offers, and sponsorship disclosures. - **Data and analytics teams** building structured creator-economy datasets. - **Agencies** reporting on campaign delivery and competitor activity for clients. --- ### Input Schema ```json { "videoUrls": [ "https://www.instagram.com/reel/DY8NM9WJfM8/", "https://www.tiktok.com/@scout2015/video/6718339390844675174", "https://www.youtube.com/shorts/VIDEO_ID" ], "maxItems": 10 } ```` **`videoUrls` is required. All other fields are optional.** | Field | Type | Default | Description | | ----------- | ---------------- | ------- | ---------------------------------------------------- | | `videoUrls` | Array of strings | — | Public Instagram Reel, TikTok, or YouTube video URLs | | `maxItems` | Integer | `10` | Maximum number of videos to process in a single run | **Supported URL formats** | Platform | Examples | | --------- | ---------------------------------------------------------------------- | | Instagram | `instagram.com/reel/...`, `instagram.com/p/...`, `instagr.am/...` | | TikTok | `tiktok.com/@user/video/...`, `vm.tiktok.com/...`, `vt.tiktok.com/...` | | YouTube | `youtube.com/shorts/...`, `youtube.com/watch?v=...`, `youtu.be/...` | *** ### Output Schema Each dataset row represents **one product mention** from a video: ```json { "videoUrl": "https://www.instagram.com/reel/DY8NM9WJfM8/", "platform": "instagram", "videoId": "DY8NM9WJfM8", "creatorHandle": "@creator", "creatorName": "Creator Name", "brand": "Nike", "productName": "Air Max 90", "category": "fashion", "mentionType": "both", "sentiment": "positive", "timestamp": "00:12", "context": "These are my daily runners — super comfortable", "discountCode": "CREATOR15", "priceText": "$129", "isSponsored": true, "confidence": "high", "scrapedAt": "2026-06-01T10:00:00.000Z" } ``` | Field | Description | | --------------- | -------------------------------------------------------------------- | | `videoUrl` | Canonical URL of the source video | | `platform` | `instagram`, `tiktok`, or `youtube` | | `videoId` | Platform-specific video identifier | | `creatorHandle` | Creator @handle when available — `null` otherwise | | `creatorName` | Creator display name — `null` otherwise | | `brand` | Brand or company name — `null` if unknown | | `productName` | Specific product or offering mentioned | | `category` | Coarse category (beauty, tech, food, etc.) — `null` if unclear | | `mentionType` | `spoken`, `on_screen`, or `both` | | `sentiment` | `positive`, `neutral`, `negative`, `mixed` — `null` if not expressed | | `timestamp` | MM:SS when the mention starts — `null` if indeterminate | | `context` | Brief quote or description of the mention — `null` if absent | | `discountCode` | Promo code as stated or shown — `null` if none | | `priceText` | Price or deal text as stated — `null` if none | | `isSponsored` | `true` when paid partnership or ad is disclosed for this product | | `confidence` | `high`, `medium`, or `low` extraction confidence | | `scrapedAt` | ISO timestamp of when this mention was mined | *** ### How It Works 1. **Validate inputs** — each URL is checked against accepted Instagram, TikTok, and YouTube patterns. 2. **Fetch video** — the video is retrieved along with creator metadata when the platform exposes it. 3. **AI mention mining** — the full video (audio and visuals) is analyzed to identify every distinct brand or product mention. 4. **Structured output** — each mention is classified with sentiment, sponsorship signals, codes, and timestamps. 5. **Push to dataset** — one flat row is written per product mention for easy downstream analysis. *** ### Notes and Limitations - **Public videos only**: Private or login-gated content is not supported. - **Video availability**: Deleted or geo-blocked videos are skipped with a warning. - **Mention accuracy**: Brief background products or unclear audio may yield lower confidence extractions. - **Rate limiting**: Platforms may rate-limit at high volume — reduce concurrency or spread runs if failures occur. - **Video size**: Videos over 100 MB are skipped automatically. - **API key required**: Set `GOOGLE_AI_STUDIO_API_KEY` in your Actor environment variables before running. # Actor input Schema ## `videoUrls` (type: `array`): Public creator video URLs to analyze. Supports Instagram Reels, TikTok videos, and YouTube Shorts or watch URLs. ## `maxItems` (type: `integer`): Maximum number of videos to process in a single run. ## `proxyConfiguration` (type: `object`): Apify Proxy is used for video downloads. Failed downloads are retried with a different proxy automatically. ## Actor input object example ```json { "videoUrls": [ "https://www.instagram.com/reel/DY8NM9WJfM8/", "https://www.tiktok.com/@scout2015/video/6718339390844675174" ], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `overview` (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 = { "videoUrls": [ "https://www.instagram.com/reel/DY8NM9WJfM8/", "https://www.tiktok.com/@scout2015/video/6718339390844675174" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("rainminer/creator-product-mention-miner").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 = { "videoUrls": [ "https://www.instagram.com/reel/DY8NM9WJfM8/", "https://www.tiktok.com/@scout2015/video/6718339390844675174", ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("rainminer/creator-product-mention-miner").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 '{ "videoUrls": [ "https://www.instagram.com/reel/DY8NM9WJfM8/", "https://www.tiktok.com/@scout2015/video/6718339390844675174" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call rainminer/creator-product-mention-miner --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rainminer/creator-product-mention-miner", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Short-Form Video Product/Mention Finder", "description": "AI-powered extractor of brand or product mentions on Instagram Reels / TikTok / YouTube Shorts. Built for influencer marketing attribution, UGC brand monitoring, affiliate tracking, competitive intelligence, and creator-economy analytics at scale.", "version": "1.0", "x-build-id": "N4mjT2DynvH7sQ5aV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rainminer~creator-product-mention-miner/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rainminer-creator-product-mention-miner", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/rainminer~creator-product-mention-miner/runs": { "post": { "operationId": "runs-sync-rainminer-creator-product-mention-miner", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/rainminer~creator-product-mention-miner/run-sync": { "post": { "operationId": "run-sync-rainminer-creator-product-mention-miner", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "videoUrls" ], "properties": { "videoUrls": { "title": "Video URLs", "type": "array", "description": "Public creator video URLs to analyze. Supports Instagram Reels, TikTok videos, and YouTube Shorts or watch URLs.", "items": { "type": "string" } }, "maxItems": { "title": "Max videos to process", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of videos to process in a single run.", "default": 10 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy is used for video downloads. Failed downloads are retried with a different proxy automatically." } } }, "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 } } } } } } } } } } ```