All APIs
$0.002 per comment ($2.00 per 1,000 comments)16 datapoints
LinkedIn Post Comments API
Extract LinkedIn post comments and replies, including likes and reactions, from a list of post URLs
Sample
Sample data
Here's a sample run of comments on real LinkedIn posts — commenter, headline, comment text, mentions, and reactions — showing the exact schema and results you can expect.
| # | Commenter Name | Commenter Headline | Commenter URL | Commenter Profile ID | Commenter Handle | Commenter Photo | Commenter Type | Commenter Followers | Is Author | Comment | Comment URL | Commented At | Comment Reactions | Comment ID | Post URL |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Vaibhav Bhardwaj | MIS Executive | Automation Expert | Data Analytics & Process Automation | Python | Google Apps Script | Open Source Contributor | ACoAADshdRABEsLINsIF-KAcQMig_frcw03ZEFM | mr-vaibhav-bhardwaj | profile | 2,778 | false | 🚀 Hi everyone!
I'm the creator of MotionCraft, an open-source screen recorder and video editor built for creators and developers.
🔗 MotionCraft Repository: https://github.com/mrvaibhavbhardwaj/Motioncraft
I'm looking for contributors, testers, and developers who would like to help improve the project. Whether you're interested in frontend development, backend systems, UI/UX, bug fixing, documentation, or feature development, your contributions are welcome.
⭐ If you find the project interesting, please consider starring the repository and sharing your feedback.
Connect with me:🔹 LinkedIn: www.linkedin.com/in/mr-vaibhav-bhardwaj🔹 GitHub: https://github.com/mrvaibhavbhardwaj
Let's build an amazing open-source video creation platform together! 🎬✨ | 2026-06-02T05:25:03.451Z | — | 7467446161952583681 | ||||
2 | Maxim Munvez | CFO in mid-market manufacturing • Turning finance from a cost center into a growth engine • AI, ERP, Power BI, Dynamics 365 • Field notes from the close, the ERP, and the boardroom | ACoAABRzj6MBWIXzVIqEwqzPtN_H-0P07b4C4cE | maximmunvez | profile | 1,586 | false | I missed the original ad. Excel entered my life somewhere between university and my first finance role, and it has not left since.
What strikes me about Agent Mode is not the capability itself. It is where it lands. Excel is where finance actually lives. Not in the BI dashboard that gets presented to the board, not in the ERP that holds the source data. In the workbook someone built in 2019 that no one fully understands but no one can replace.
That is precisely what makes this interesting and what makes me cautious in equal measure. An agent operating inside those workbooks needs to understand the logic embedded in them, not just the data. Formula chains, hardcoded assumptions, legacy adjustments that go back three audits.
The marketing is good. The nostalgia works even on people who were not there for the original. But the question I will be asking before this touches our close process: what does the audit trail look like when the agent touches a cell? | 2026-05-22T01:44:39.487Z | — | 7463404430110089216 | ||||
3 | Stella M. | Strategic Operations & Analytics Leader | Life Sciences & Biometrics | Active AI Practitioner | I help teams see clearly, work smarter, and build momentum that lasts. | ACoAAAD4ZbQBgVBAoDWNemIDpAprBWlgHeWtWHo | ssmunuo | — | profile | 1,156 | false | Okay, watching the current elevator ride followed by the 1992 version was pretty dope time travel!! | 2026-05-20T15:21:18.786Z | — | 7462885172330315776 | |||
4 | Devansh Kumar | React Native & ReactJS Developer | Building Apps for Startups | Building @ECHOHIRE | 50+ Apps Delivered | SourceDOTcom | ACoAAB3L1oMB2oLY6UBcdj8ujL0iqjI0opg9NVI | devansh-kumar-dev | profile | 2,775 | false | Excel has been the quiet backbone of business for 30+ years. AI-native Excel — where formulas, automation, and analysis happen through natural language — is genuinely a step change, not just an incremental update. | 2026-05-16T11:40:26.476Z | — | 7461380036651163648 | ||||
5 | Tahir Rameez | I help enterprises deliver AI driven platforms across cloud data and automation at scale | AWS Azure GenAI | ACoAAAISyoEBtgPQZ9F2Y8k_bSfiBi-JfPh10i8 | tahirrameez | — | profile | 1,772 | false | This is the most 2026 sentence ever: “Same spreadsheet, smarter spreadsheet.” Excel went from “please don’t break my formula” to “let me help you build the whole model.” The 90s ad aged well. The workflow aged even better. | 2026-05-23T04:12:24.550Z | — | 7463804000744747008 | |||
6 | Rakesh Patial | GDS Consulting Manager -Data Analytics & Automation | ACoAAAAqBZMB35F5jYgVMIV6weSRt7QC23sLf9E | rakesh-patial-86bb09 | profile | 612 | false | I wish they could have stored large data set in spreadsheets and increase calculation speed for very large dataset. | 2026-05-14T04:38:33.879Z | — | 7460549092193120256 | ||||
7 | Mudassar M. | Tech leader driving scale & innovation | ACoAAAH8SpkBAjr83SDxIIpR4GqXg3V0gfD3ocY | mudassar991 | profile | 2,240 | false | Vulnerability in leadership is underrated. When leaders openly acknowledge what they don't know, it creates psychological safety for teams to flag problems early. That's where real innovation happens—in the spaces where people feel safe to speak up. | 2026-05-19T19:23:16.942Z | — | 7462583678024613888 | ||||
8 | Mel Thompson | VP Partner Experience | Leading End-to-End Partner Lifecycle Across APAC | Driving Growth, Experience & Operational Excellence | ACoAAALKFZ4Bz8STmC4qtvfwZrwK8tEHyxXFBX4 | mel-thompson-39280a13 | — | profile | 3,662 | false | Love the 90s ad throwback. 👏
Excel was the original business superpower for millions — and now Copilot Agent Mode feels like the next leap, moving AI from assisting work to actually doing work | 2026-05-10T10:42:46.307Z | — | 7459191196456837120 | |||
9 | Omer Yezdani | Strategic Leader / CDO / AI / Board Director | ACoAAAdc9PYB5hKG_QSaVEbPYfKUfRzYsdH-9VU | omeryezdani | profile | 2,412 | false | Love it! | 2026-05-09T23:56:37.930Z | 7459028590102298624 | |||||
10 | Mohammed Abrar | MEP Project Manager | PMC & Client-Side Delivery | AI in Construction | Digital Transformation | Sustainability & ESG | Built Environment Innovation | 25 Years UAE & International | ACoAAAgnbLMBWmfhJs0QSj4VBGH9v9Mi3r4BWJI | mohammed-abrar-61799339 | — | profile | 17,112 | false | “Brilliant blend of nostalgia and innovation — the future of productivity is here.” | 2026-05-13T11:24:27.120Z | — | 7460288849223770112 |
Playground
Run this API
Advanced parameters are collapsed below.
Inputs
Output limits
$0.002 per comment
Billed per comments returned — no row cap set
live
curl -X POST https://api.mindcase.co/v1/data/linkedin/post-comments/run \
-H "Authorization: Bearer mk_live_YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"params": {
"posts": "",
"postedLimit": ""
}
}'Edit the form to update this live.
Overview
About LinkedIn Post Comments API
LinkedIn Post Comments extracts discussion data from specific posts. It returns fields like Comment Text, Author, Author Title, Likes, and Posted date. It captures the full text of the comment along with metadata about the commenter.
Market researchers use LinkedIn Post Comments to analyze sentiment on product announcements. Sales teams monitor comments on competitor posts to identify prospects asking questions or expressing interest.
Real-time dataSelf-servePay per resultZero setup time
Cost
Pricing
$0.002per comment
$2.00 per 1,000 comments
$2.00 per 1,000 comments. Each row returned counts as one comment. The total count increases based on the number of posts provided and the maximum comments requested per post. Failed runs don't count.
Pay as you goNo subscriptionNo setup feeCancel anytime
Cost calculator
Total rows500 comments
Total cost$1.00
Examples
Use cases
A few common ways teams put LinkedIn Post Comments API to work — copy a prompt below to try it yourself.
Sentiment analysis
Analyze reactions to major industry news.
Get the latest 500 comments from Satya Nadella's post about AI agents
Lead generation
Identify active commenters on competitor updates.
200 comments from the latest Salesforce, HubSpot, and Pipedrive posts
Community engagement
Monitor feedback on specific thought leadership content.
300 comments on Simon Sinek's latest post about leadership
Competitive benchmarking
Compare engagement depth across different company announcements.
200 comments from the most recent Apple product launch post
Get started
Ready to pull comments?
Sign up to run live queries against LinkedIn Post Comments API via chat, form, or API.
FAQ
Frequently asked questions
- Does LinkedIn Post Comments include replies to comments?
- Yes, you can toggle the option to include nested replies. Each reply is returned as its own row in the final dataset.
- How fresh is the data?
- Live on every run. LinkedIn Post Comments does not cache results. Each request pulls the current state of the source at the moment you query, so what you receive is what users see on the platform right now.
- Can I pull comments from multiple posts in one run?
- Yes, you can pass an array of post URLs to LinkedIn Post Comments to fetch data from multiple sources in a single request.
- How do I integrate with Zapier, n8n, Google Sheets, or Airtable?
- LinkedIn Post Comments returns clean JSON and CSV output. Both formats work with every workflow tool. Pipe them in via a webhook step, file download, or by hitting the REST endpoint on a schedule. Same for Slack notifications, Notion databases, and other downstream systems.
- What fields are returned?
- Per comment: commenter name, headline, profile URL, and type (person or company); the comment text, URL, and date; an edited flag; @-mentions inside the comment; a reaction-type breakdown and reply count on the comment; and the post URL it belongs to.
Related
More LinkedIn APIs
LinkedIn Post Reactions API
Extract reactions from LinkedIn posts and comments, providing likes and appreciations
LinkedIn$0.002 per reaction$2.00 per 1,000 reactions
LinkedIn Ads API
Extract LinkedIn ad details, ad copy, media URL, and call-to-action buttons from Ad Library URLs
LinkedIn$0.002 per ad$2.00 per 1,000 ads
LinkedIn Profile Comments API
Extract LinkedIn profile comments and their social activities like likes and reactions, requiring no input
LinkedIn$0.002 per comment$2.00 per 1,000 comments
LinkedIn Profile Reactions API
Monitor public LinkedIn profiles for reactions, along with full post details and social activities
LinkedIn$0.002 per reaction$2.00 per 1,000 reactions
LinkedIn Companies API
Get LinkedIn company data — by company URL, or by searching with filters (location, size, industry). Returns the full company profile either way.
LinkedIn$0.004 per company$4.00 per 1,000 companies
LinkedIn Company Employees API
List LinkedIn company employees — name, role, location, seniority — from a list of company URLs
LinkedIn$0.004 per profile$4.00 per 1,000 profiles