# LinkedIn Profile Comments Scraper (`khadinakbar/linkedin-profile-comments-scraper`) Actor Give a LinkedIn profile URL and get every commenter on that person's recent posts — name, headline, profile URL, comment text and reactions. Also accepts direct post/article URLs. Provider-backed (ScrapeCreators + SociaVault); no cookies, no login. - **URL**: https://apify.com/khadinakbar/linkedin-profile-comments-scraper.md - **Developed by:** [Khadin Akbar](https://apify.com/khadinakbar) (community) - **Categories:** Social media, Lead generation, MCP servers - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 1,000 linkedin comment scrapeds 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 ## LinkedIn Profile Comments Scraper **Turn a LinkedIn profile into a list of warm leads.** Give this actor a person's profile URL and it pulls their recent public posts, then returns **every person who commented** on them — commenter name, LinkedIn profile URL (the lead), and the comment text on every row. Headline, follower count, and per-comment reaction counts are included **when the data provider exposes them** (often null for public post comments). You can also pass direct post or article URLs to scrape the comments on a single post. No LinkedIn login. No cookies. No browser extension. It runs on managed data providers (ScrapeCreators with SociaVault fallback), so you just paste URLs and get structured rows. ### What you can do with it - **Social-selling lead lists** — everyone engaging with a prospect's or competitor's content is a warm, in-market lead. - **Influencer / creator audience mining** — see who actually comments, not just who follows. - **Event & launch follow-up** — pull commenters from an announcement post and reach out. - **Competitive intelligence** — watch who engages with a rival's thought-leadership. - **AI agents** — MCP-ready: one URL in, clean JSON out, predictable per-row pricing. ### When to use this vs. other LinkedIn actors | You want… | Use | |---|---| | Commenters on a person's recent posts (from a profile URL) | **this actor** | | Comments on specific post URLs you already have | **this actor** (paste post URLs) | | Profile fields (bio, followers, experience) | `linkedin-profile-email-scraper` | | Jobs with salary & skills | `linkedin-jobs-scraper` | > This actor returns **who commented**. It does not return a person's own comment history across all of LinkedIn (that data is login-gated and not exposed publicly). ### Input | Field | Type | Default | Description | |---|---|---|---| | `startUrls` | array | — (required) | LinkedIn **profile** URLs (`/in/...`) and/or **post/article** URLs. Auto-detected per URL. | | `maxPostsPerProfile` | int | `5` | Recent posts to read per profile URL (1–50). | | `maxCommentsPerPost` | int | `50` | Max comment rows per post (1–1000). | | `maxResults` | int | `1000` | Hard cap on total comments charged/saved — your main cost control. | | `outputMode` | enum | `comments` | `comments` (one row per comment) or `both` (also a post-summary row). | | `dedupeComments` | bool | `true` | Drop duplicate comments per post. | | `includeRawData` | bool | `false` | Attach raw provider payload to each row (debugging). | | `maxConcurrency` | int | `2` | Posts fetched in parallel (1–5). | #### Example input ```json { "startUrls": [ { "url": "https://www.linkedin.com/in/williamhgates/" }, { "url": "https://www.linkedin.com/posts/some-author_activity-7429579034096726016" } ], "maxPostsPerProfile": 5, "maxCommentsPerPost": 50, "maxResults": 1000, "outputMode": "comments" } ```` ### Output One row per comment. Key fields: | Field | Description | |---|---| | `commenterName` | Person who left the comment (always present) | | `commenterProfileUrl` | Their LinkedIn profile URL — **the lead** (always present) | | `commentText` | The comment (always present when not an image-only comment) | | `commenterHeadline` | Their job title / tagline — **only when the provider exposes it; usually null for post comments** | | `commenterFollowers` | Their follower count — **only when exposed; usually null** | | `commentReactionCount` / `replyCount` | Comment engagement — **only when exposed; usually null** | | `postUrl` / `postAuthorName` | The post they commented on | | `sourceType` | `profile` (found via a profile) or `post` (direct URL) | | `sourceProfileUrl` / `sourceProfileName` | The input profile, when applicable | | `source` | Provider used (`scrapecreators` / `sociavault`) | | `scrapedAt` | ISO 8601 timestamp | #### Example output row ```json { "recordType": "comment", "sourceType": "profile", "sourceProfileUrl": "https://www.linkedin.com/in/williamhgates/", "sourceProfileName": "Bill Gates", "postUrl": "https://www.linkedin.com/posts/williamhgates_activity-7429579034096726016", "postAuthorName": "Bill Gates", "commenterName": "Jane Doe", "commenterProfileUrl": "https://www.linkedin.com/in/jane-doe/", "commentText": "This completely changed how we think about it.", "commenterHeadline": null, "commenterFollowers": null, "commentReactionCount": null, "replyCount": null, "source": "scrapecreators", "scrapedAt": "2026-06-19T08:30:00.000Z" } ``` A machine-readable run summary (counts, billing, provider status, per-post outcomes, warnings) is written to the key-value store under `OUTPUT`. ### Pricing — pay per result | Event | Price | |---|---| | Actor start | $0.00005 | | Post processed | $0.01 per post fetched for comments | | **Comment scraped** | **$0.006 per comment row** | A typical run over one profile (5 posts × ~30 comments) costs roughly `5 × $0.01 + 150 × $0.006 ≈ $0.95`. Use `maxResults` to set a hard ceiling. The run log prints the cost cap before any charge and the actual spend at the end. ### Run via API ```bash curl -X POST "https://api.apify.com/v2/acts/khadinakbar~linkedin-profile-comments-scraper/runs?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "startUrls": [{ "url": "https://www.linkedin.com/in/williamhgates/" }], "maxPostsPerProfile": 5 }' ``` ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_TOKEN' }); const run = await client.actor('khadinakbar/linkedin-profile-comments-scraper').call({ startUrls: [{ url: 'https://www.linkedin.com/in/williamhgates/' }], maxPostsPerProfile: 5, maxCommentsPerPost: 50, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` ### Use with AI agents (MCP) Exposed in the Apify MCP server as `apify--linkedin-profile-comments-scraper`. Hand an agent a profile URL and it gets a clean list of engagers to qualify or enrich — pair it with `linkedin-profile-email-scraper` to turn commenters into contactable leads. ### FAQ **Do I need LinkedIn cookies or a login?** No. It uses managed providers — paste public URLs only. **Why fewer comments than the post shows?** Providers expose the publicly visible comments per post; very large threads may be partial. Raise `maxCommentsPerPost` to capture more of what is exposed. **A profile returned no posts — why?** The person may have no public posts, or the provider could not expose them. Pass their post URLs directly instead. **Can it get a person's own comment history (everything they've commented on)?** No — that is login-gated and not publicly available. This actor returns commenters **on** posts. **What if a provider is down?** It tries ScrapeCreators first, then SociaVault automatically, and reports provider status in the run summary. ### Legal & compliance This actor collects only **publicly available** LinkedIn data via third-party data providers. It does not log into LinkedIn, bypass authentication, or access private/connection-gated content. You are responsible for using the data in compliance with LinkedIn's Terms of Service, the GDPR/CCPA, and any applicable laws (including lawful basis for processing personal data and honoring opt-outs). Do not use it for spam, harassment, or unlawful profiling. Provided "as is" without warranty. # Actor input Schema ## `startUrls` (type: `array`): One or more LinkedIn URLs. A profile URL (e.g. https://www.linkedin.com/in/williamhgates/) is expanded into that person's recent public posts and the comments on each are returned. A post, feed-update, or Pulse article URL returns the comments on that single post. Mode is auto-detected per URL. NOT a search query — supply real LinkedIn URLs. ## `maxPostsPerProfile` (type: `integer`): For each profile URL, how many of the person's most recent public posts to read comments from. Example: 5. Range 1-50, default 5. Ignored for direct post URLs (each direct URL is one post). ## `maxCommentsPerPost` (type: `integer`): Maximum comment rows to save per post. Example: 50. Range 1-1000, default 50. The provider may expose fewer comments than this cap for a given post. ## `maxResults` (type: `integer`): Hard ceiling on the total number of comment rows charged and saved across the whole run, regardless of how many posts are processed. Example: 1000. Use this as your primary cost control. Default 1000. ## `outputMode` (type: `string`): Choose 'comments' for one row per comment only, or 'both' to also emit a post-level summary row (author, reactions, comment count) for each post processed. Default 'comments'. ## `dedupeComments` (type: `boolean`): Remove duplicate comments per post using comment URL, commenter profile URL, and text. Keep enabled for cleaner lead lists. Default true. ## `includeRawData` (type: `boolean`): Attach the raw provider post/comment payload to each dataset row. Enable only for debugging or custom parsing; it increases dataset size. Default false. ## `maxConcurrency` (type: `integer`): How many posts to fetch in parallel. Example: 2. Range 1-5, default 2. Keep low for predictable provider usage and cost. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.linkedin.com/pulse/being-father-has-made-me-better-leader-vice-versa-austen-allred/" } ], "maxPostsPerProfile": 5, "maxCommentsPerPost": 50, "maxResults": 1000, "outputMode": "comments", "dedupeComments": true, "includeRawData": false, "maxConcurrency": 2 } ``` # Actor output Schema ## `results` (type: `string`): Dataset items: one row per comment with commenter profile URL, headline, comment text, reactions, and the source post + profile context. ## `summary` (type: `string`): Run summary including postsProcessed, commentsSaved, providerStatusCodes, per-post outcomes, stopReason, and billing counters. # 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 = { "startUrls": [ { "url": "https://www.linkedin.com/pulse/being-father-has-made-me-better-leader-vice-versa-austen-allred/" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("khadinakbar/linkedin-profile-comments-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 = { "startUrls": [{ "url": "https://www.linkedin.com/pulse/being-father-has-made-me-better-leader-vice-versa-austen-allred/" }] } # Run the Actor and wait for it to finish run = client.actor("khadinakbar/linkedin-profile-comments-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 '{ "startUrls": [ { "url": "https://www.linkedin.com/pulse/being-father-has-made-me-better-leader-vice-versa-austen-allred/" } ] }' | apify call khadinakbar/linkedin-profile-comments-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=khadinakbar/linkedin-profile-comments-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Comments Scraper", "description": "Give a LinkedIn profile URL and get every commenter on that person's recent posts — name, headline, profile URL, comment text and reactions. Also accepts direct post/article URLs. Provider-backed (ScrapeCreators + SociaVault); no cookies, no login.", "version": "0.2", "x-build-id": "3F6IIMiAAHIhaTtSI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/khadinakbar~linkedin-profile-comments-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-khadinakbar-linkedin-profile-comments-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/khadinakbar~linkedin-profile-comments-scraper/runs": { "post": { "operationId": "runs-sync-khadinakbar-linkedin-profile-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/khadinakbar~linkedin-profile-comments-scraper/run-sync": { "post": { "operationId": "run-sync-khadinakbar-linkedin-profile-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "LinkedIn profile or post URLs", "type": "array", "description": "One or more LinkedIn URLs. A profile URL (e.g. https://www.linkedin.com/in/williamhgates/) is expanded into that person's recent public posts and the comments on each are returned. A post, feed-update, or Pulse article URL returns the comments on that single post. Mode is auto-detected per URL. NOT a search query — supply real LinkedIn URLs.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxPostsPerProfile": { "title": "Max posts per profile", "minimum": 1, "maximum": 50, "type": "integer", "description": "For each profile URL, how many of the person's most recent public posts to read comments from. Example: 5. Range 1-50, default 5. Ignored for direct post URLs (each direct URL is one post).", "default": 5 }, "maxCommentsPerPost": { "title": "Max comments per post", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum comment rows to save per post. Example: 50. Range 1-1000, default 50. The provider may expose fewer comments than this cap for a given post.", "default": 50 }, "maxResults": { "title": "Max comments total (cost cap)", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Hard ceiling on the total number of comment rows charged and saved across the whole run, regardless of how many posts are processed. Example: 1000. Use this as your primary cost control. Default 1000.", "default": 1000 }, "outputMode": { "title": "Output mode", "enum": [ "comments", "both" ], "type": "string", "description": "Choose 'comments' for one row per comment only, or 'both' to also emit a post-level summary row (author, reactions, comment count) for each post processed. Default 'comments'.", "default": "comments" }, "dedupeComments": { "title": "Dedupe comments", "type": "boolean", "description": "Remove duplicate comments per post using comment URL, commenter profile URL, and text. Keep enabled for cleaner lead lists. Default true.", "default": true }, "includeRawData": { "title": "Include raw provider data", "type": "boolean", "description": "Attach the raw provider post/comment payload to each dataset row. Enable only for debugging or custom parsing; it increases dataset size. Default false.", "default": false }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 5, "type": "integer", "description": "How many posts to fetch in parallel. Example: 2. Range 1-5, default 2. Keep low for predictable provider usage and cost.", "default": 2 } } }, "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 } } } } } } } } } } ```