Linkedin Comment Scraper avatar
Linkedin Comment Scraper

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Linkedin Comment Scraper

Linkedin Comment Scraper

Developed by

Naveen Choudhary

Naveen Choudhary

Maintained by Community

Scrape comments and replies from LinkedIn posts. Supports pagination, filtering, and comprehensive data extraction.

0.0 (0)

Pricing

Pay per event

0

Total users

5

Monthly users

5

Runs succeeded

58%

Last modified

2 days ago

You can access the Linkedin Comment 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 Integrations settings in Apify Console.

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"components": {
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"properties": {
"postUrls": {
"title": "LinkedIn Post URLs",
"minItems": 1,
"maxItems": 100,
"type": "array",
"description": "List of LinkedIn post URLs to scrape comments from. Supports both /posts/ and /feed/update/ formats.",
"items": {
"type": "string",
"pattern": "^https://www\\.linkedin\\.com/(posts|feed/update)/.+$"
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},
"maxCommentsPerPost": {
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"type": "integer",
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"sortOrder": {
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"Most Recent"
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"type": "string",
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"excludeAuthorComments": {
"title": "Exclude Author Comments",
"type": "boolean",
"description": "Whether to exclude comments made by the post author",
"default": false
},
"cookies": {
"title": "LinkedIn Cookies",
"type": "string",
"description": "LinkedIn session cookies (required for authentication). Use Cookie Editor extension: 1) Login to LinkedIn 2) Open Cookie Editor 3) Click 'JSON' button 4) Copy and paste the JSON here"
},
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"title": "Proxy Configuration",
"type": "object",
"description": "Proxy configuration to avoid IP blocking",
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"maxRetries": {
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"type": "integer",
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"type": "integer",
"description": "Maximum delay between requests to avoid rate limiting",
"default": 5
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"maxDatasetItems": {
"title": "Max Dataset Items",
"minimum": 1,
"maximum": 100000,
"type": "integer",
"description": "Maximum number of comments to save (cost control measure)",
"default": 10000
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"userId": {
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"startedAt": {
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"finishedAt": {
"type": "string",
"format": "date-time",
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"type": "string",
"example": "READY"
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"properties": {
"origin": {
"type": "string",
"example": "API"
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"userAgent": {
"type": "string"
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"stats": {
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"inputBodyLen": {
"type": "integer",
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"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
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"timeoutSecs": {
"type": "integer",
"example": 300
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"memoryMbytes": {
"type": "integer",
"example": 1024
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"diskMbytes": {
"type": "integer",
"example": 2048
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}
},
"buildId": {
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"defaultKeyValueStoreId": {
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"type": "string"
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"defaultRequestQueueId": {
"type": "string"
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"buildNumber": {
"type": "string",
"example": "1.0.0"
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"containerUrl": {
"type": "string"
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"type": "integer",
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"KEY_VALUE_STORE_LISTS": {
"type": "integer",
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"KEY_VALUE_STORE_WRITES": {
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"KEY_VALUE_STORE_LISTS": {
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}

LinkedIn Comment Scraper - Extract Comments from LinkedIn 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 Linkedin Comment 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: