# YouTube Hashtag Result Scraper (`powerai/youtube-hashtag-result-scraper`) Actor Browse YouTube by hashtag: videos, Shorts, channels context, and stats—exported with automatic paging up to your cap. - **URL**: https://apify.com/powerai/youtube-hashtag-result-scraper.md - **Developed by:** [PowerAI](https://apify.com/powerai) (community) - **Categories:** Social media, Videos, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 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 ## YouTube Hashtag Result Scraper Explore **public content** linked to a **hashtag** on YouTube: pull the feed for a topic (with or without typing `#`), optionally narrow to **Shorts only**, and bias results with **region** and **language** hints. Each dataset row is one item (video or Short) with titles, channel details, view hints, thumbnails, client-style parameters when returned, and actor-added context fields. ### Who it’s for - **Creators and analysts** monitoring hashtag performance and related uploads. - **Researchers** sampling what appears under a tag in a given market. - **Automation** that stores hashtag snapshots on a schedule. ### What you can do with it - **Enter a hashtag** as plain text or with a leading `#`—the run normalizes it. - **Choose** all regular videos plus Shorts, or **Shorts only**. - **Optional region and language** hints to align the feed with an audience. - **Cap** how many rows to collect across pages. ### How it works (in plain terms) You provide the **hashtag** and options. The actor loads the first page of results, saves rows until your cap, then automatically requests **additional pages** using the continuation token returned by the service, pausing briefly between requests. You do not paste tokens yourself. ### Input | Field | Required | What it means | |-------|----------|----------------| | **Hashtag** (`hashtag`) | Yes | Topic text, with or without `#` (e.g. `viral` or `#viral`). | | **Content scope** (`contentScope`) | No | **Videos and Shorts** (default) or **Shorts only**. | | **Region** (`region`) | No | Country or region code to bias results (e.g. US, GB). | | **Language hint** (`language`) | No | Locale or language preference (e.g. en). | | **Maximum results** (`maxResults`) | No | Upper bound on rows to collect (default **100**). | ### Output - **One row per item** (until your cap). Duplicates across pages are skipped when the same **`videoId`** (or stable channel id) is seen again. - **Item kind & ids**: **`type`** (e.g. `shorts` or `video`), **`videoId`**. - **Text**: **`title`**, **`description`** (may be empty). - **Channel**: **`channelTitle`**, **`channelId`**, **`channelThumbnail`** and **`channelAvatar`** (arrays of **`url`** / **`width`** / **`height`**), **`channelBadges`** (e.g. verification labels), **`isVerifiedChannel`**. - **Engagement & time**: **`viewCountText`**, **`viewCount`**, **`publishedTimeText`**, **`publishDate`**, **`publishedAt`**, **`lengthText`**. - **Media**: **`thumbnail`** (multiple sizes with **`url`**, **`width`**, **`height`**), **`richThumbnail`** (object or `null`), **`isOriginalAspectRatio`**. - **Playback / client tokens** (when present): **`params`**, **`playerParams`**, **`sequenceParams`**. - **Actor context**: **`hashtag`** (normalized tag without `#`), **`hashtagDisplay`** (e.g. `#viral`), **`hashtagInfoText`** (header summary such as video/channel counts), **`contentScope`**, optional **`region`**, **`scrapedAt`**. - **Extra fields** may appear as the product changes. #### Sample output (one dataset row, structure from a real run; URLs shortened) ```json { "type": "shorts", "videoId": "nle5f7MRUHM", "title": "Viral Video | Monkeys Scroll Through Social Media Like An Everyday Activity | #trending", "channelTitle": "CNN-News18", "channelId": "UCef1-8eOpJgud7szVPlZQAQ", "channelThumbnail": [ { "url": "https://yt3.ggpht.com/…/s68-c-k-c0x00ffffff-no-rj", "width": 68, "height": 68 } ], "channelAvatar": [ { "url": "https://yt3.ggpht.com/…/s68-c-k-c0x00ffffff-no-rj", "width": 68, "height": 68 } ], "channelBadges": ["Verified"], "isVerifiedChannel": true, "description": "", "viewCountText": "798,905 views", "viewCount": "798905", "publishedTimeText": "3 years ago", "publishDate": "2023-03-26", "publishedAt": "2023-03-26T00:00:00Z", "lengthText": "0:09", "thumbnail": [ { "url": "https://i.ytimg.com/vi/nle5f7MRUHM/hq2.jpg?…", "width": 168, "height": 94 } ], "richThumbnail": null, "isOriginalAspectRatio": true, "params": "CBUwAroBAA%3D%3D", "playerParams": "8AEBoAMFyAMkuAQVogYVATtgMiL6hNhlruC4k_qBcz3fOFW3kAcC", "sequenceParams": "CgtubGU1ZjdNUlVITSoCGBU%3D", "hashtag": "viral", "contentScope": "all", "hashtagDisplay": "#viral", "hashtagInfoText": "736M videos • 48M channels", "region": "US", "scrapedAt": "2026-03-27T01:26:49.296Z" } ```` The real **`thumbnail`** array usually contains several entries with different dimensions; only one is shown above. # Actor input Schema ## `hashtag` (type: `string`): The topic to explore, with or without the # symbol (for example viral or #viral). ## `contentScope` (type: `string`): Whether to include regular videos and Shorts together, or only Shorts. ## `region` (type: `string`): Optional country or region code to bias the feed (for example US, GB). ## `language` (type: `string`): Optional locale or language hint (for example en). ## `maxResults` (type: `integer`): How many rows to collect across continuation pages. ## Actor input object example ```json { "hashtag": "viral", "contentScope": "all", "maxResults": 30 } ``` # 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 = { "hashtag": "viral", "contentScope": "all", "maxResults": 30 }; // Run the Actor and wait for it to finish const run = await client.actor("powerai/youtube-hashtag-result-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 = { "hashtag": "viral", "contentScope": "all", "maxResults": 30, } # Run the Actor and wait for it to finish run = client.actor("powerai/youtube-hashtag-result-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 '{ "hashtag": "viral", "contentScope": "all", "maxResults": 30 }' | apify call powerai/youtube-hashtag-result-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=powerai/youtube-hashtag-result-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Hashtag Result Scraper", "description": "Browse YouTube by hashtag: videos, Shorts, channels context, and stats—exported with automatic paging up to your cap.", "version": "0.0", "x-build-id": "y6LUBR2xRY0KliwLB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/powerai~youtube-hashtag-result-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-powerai-youtube-hashtag-result-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/powerai~youtube-hashtag-result-scraper/runs": { "post": { "operationId": "runs-sync-powerai-youtube-hashtag-result-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/powerai~youtube-hashtag-result-scraper/run-sync": { "post": { "operationId": "run-sync-powerai-youtube-hashtag-result-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "hashtag" ], "properties": { "hashtag": { "title": "Hashtag", "type": "string", "description": "The topic to explore, with or without the # symbol (for example viral or #viral).", "default": "viral" }, "contentScope": { "title": "Content scope", "enum": [ "all", "shorts" ], "type": "string", "description": "Whether to include regular videos and Shorts together, or only Shorts.", "default": "all" }, "region": { "title": "Region", "type": "string", "description": "Optional country or region code to bias the feed (for example US, GB)." }, "language": { "title": "Language hint", "type": "string", "description": "Optional locale or language hint (for example en)." }, "maxResults": { "title": "Maximum results", "minimum": 30, "maximum": 50000, "type": "integer", "description": "How many rows to collect across continuation pages.", "default": 30 } } }, "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 } } } } } } } } } } ```