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Youtube Comments Scraper Pro

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Youtube Comments Scraper Pro

Youtube Comments Scraper Pro

Developed by

AutomateLab

AutomateLab

Maintained by Community

Extract YouTube comments WITHOUT API key - scrape unlimited comments, replies & metadata from any video FREE - no authentication, quotas or limits - perfect for sentiment analysis, market research & brand monitoring

0.0 (0)

Pricing

$1.00 / 1,000 results

0

Total users

1

Monthly users

1

Last modified

14 hours ago

You can access the Youtube Comments Scraper Pro 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 Integrations settings in Apify Console.

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"components": {
"schemas": {
"inputSchema": {
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"properties": {
"urls": {
"title": "YouTube URLs",
"minItems": 1,
"uniqueItems": true,
"type": "array",
"description": "List of YouTube video, channel, or playlist URLs to scrape comments from",
"items": {
"type": "string"
}
},
"maxComments": {
"title": "Maximum Comments",
"minimum": 0,
"type": "integer",
"description": "Maximum number of comments to extract per video (0 = unlimited)",
"default": 0
},
"includeReplies": {
"title": "Include Replies",
"type": "boolean",
"description": "Extract nested replies to comments",
"default": true
},
"sortBy": {
"title": "Sort Comments By",
"enum": [
"relevance",
"time",
"rating"
],
"type": "string",
"description": "How to sort comments before extraction",
"default": "relevance"
},
"dateFrom": {
"title": "Date From",
"type": "string",
"description": "Only extract comments after this date (YYYY-MM-DD)"
},
"dateTo": {
"title": "Date To",
"type": "string",
"description": "Only extract comments before this date (YYYY-MM-DD)"
},
"filterKeywords": {
"title": "Keyword Filter",
"type": "array",
"description": "Only include comments containing these keywords (case-insensitive)",
"items": {
"type": "string"
}
},
"filterLanguage": {
"title": "Language Filter",
"type": "string",
"description": "Only include comments in this language (ISO 639-1 code)"
},
"outputFormat": {
"title": "Output Format",
"enum": [
"json",
"csv",
"excel"
],
"type": "string",
"description": "Format for the exported data",
"default": "json"
},
"includeVideoMetadata": {
"title": "Include Video Metadata",
"type": "boolean",
"description": "Include video title, description, and statistics in output",
"default": true
},
"youtubeApiKey": {
"title": "YouTube API Key (Optional - Only for Video Metadata)",
"type": "string",
"description": "Optional: YouTube Data API v3 key ONLY needed if you want video metadata (title, views, likes). Comments are scraped without any API key!"
},
"proxy": {
"title": "Proxy Configuration",
"type": "object",
"description": "Proxy settings for accessing YouTube",
"default": {
"useApifyProxy": true
}
}
}
},
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"properties": {
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"id": {
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"actId": {
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},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
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"finishedAt": {
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"properties": {
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"type": "integer",
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"rebootCount": {
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"type": "integer",
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"resurrectCount": {
"type": "integer",
"example": 0
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"computeUnits": {
"type": "integer",
"example": 0
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}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
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}
},
"buildId": {
"type": "string"
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"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
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"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
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"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
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"type": "integer",
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"type": "integer",
"example": 0
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"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",
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"KEY_VALUE_STORE_WRITES": {
"type": "number",
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"KEY_VALUE_STORE_LISTS": {
"type": "integer",
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"REQUEST_QUEUE_WRITES": {
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"DATA_TRANSFER_INTERNAL_GBYTES": {
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Youtube Comments Scraper Pro OpenAPI definition

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 Comments Scraper Pro 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: