YouTube Scraper
Pricing
Pay per usage
Go to Apify Store
YouTube Scraper
Search YouTube by keyword and collect video metadata, comments, and threaded replies. No YouTube API key required. Export structured results to JSON, CSV, or Excel.
YouTube Scraper
Pricing
Pay per usage
Search YouTube by keyword and collect video metadata, comments, and threaded replies. No YouTube API key required. Export structured results to JSON, CSV, or Excel.
You can access the YouTube Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.1", "x-build-id": "x7r78P0xKtMsjMLm2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hapyco~youtube-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hapyco-youtube-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hapyco~youtube-scraper/runs": { "post": { "operationId": "runs-sync-hapyco-youtube-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hapyco~youtube-scraper/run-sync": { "post": { "operationId": "run-sync-hapyco-youtube-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "videoUrls": { "title": "Video URLs or IDs", "type": "array", "description": "Enter up to 1000 known videos, or use search queries.", "items": { "type": "string" } }, "searchQueries": { "title": "Search queries", "type": "array", "description": "Enter up to 25 queries. Results are videos, not channels or playlists.", "items": { "type": "string" } }, "maxResultsPerSearch": { "title": "Videos per search", "minimum": 0, "type": "integer", "description": "Maximum video results per query. Set 0 for all available results within the run time limit.", "default": 50 }, "maxVideos": { "title": "Total video limit", "minimum": 0, "type": "integer", "description": "Maximum unique videos across all queries and supplied URLs. Set 0 for no count limit.", "default": 1000 }, "maxVideosPerBatch": { "title": "Videos per run segment", "minimum": 0, "type": "integer", "description": "Optional limit on newly processed videos per segment. Resurrect the same run to continue. Set 0 or omit to use the total video limit." }, "maxItems": { "title": "Total item limit", "minimum": 0, "type": "integer", "description": "Maximum dataset rows, including video metadata, comments, and replies. Set 0 for no count limit.", "default": 50000 }, "scrapeVideoMetadata": { "title": "Video metadata", "type": "boolean", "description": "Collect title, description, channel, dates, and engagement.", "default": true }, "scrapeComments": { "title": "Comments", "type": "boolean", "description": "Collect comments on discovered and supplied videos.", "default": true }, "includeCommentReplies": { "title": "Replies", "type": "boolean", "description": "Collect replies with parent comment IDs.", "default": true }, "commentsSortBy": { "title": "Comment order", "enum": [ "newest", "top" ], "type": "string", "description": "Choose newest first or top comments.", "default": "newest" }, "maxComments": { "title": "Top-level comments per video", "minimum": 0, "type": "integer", "description": "Maximum top-level comments per video. Set 0 for all available comments.", "default": 100 }, "maxReplies": { "title": "Replies per video", "minimum": 0, "type": "integer", "description": "Maximum replies per video. Set 0 for all available replies. Disable Replies to skip them.", "default": 100 }, "maxRequests": { "title": "Total YouTube request limit", "minimum": 0, "type": "integer", "description": "Maximum YouTube HTTP requests, including retries. Set 0 for no count limit. The run time limit still applies.", "default": 15000 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Use residential proxies for full collections. Small direct tests can work, but large direct runs hit YouTube IP limits.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 }, "PROXY_UNBLOCKER_UNITS": { "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 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for YouTube Scraper from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: