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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 ID | Mentions | Post URL |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Vaibhav Bhardwaj | ERPNext Developer | AI Automation Engineer | CRM Customization | Business Process Automation | Data Analytics | Power BI | Python | SQL | ACoAADshdRABEsLINsIF-KAcQMig_frcw03ZEFM | mr-vaibhav-bhardwaj | profile | 3,518 | 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 | 1,633 | 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 | Tahir Rameez | I help enterprises deliver AI driven platforms across cloud data and automation at scale | AWS Azure GenAI | ACoAAAISyoEBtgPQZ9F2Y8k_bSfiBi-JfPh10i8 | tahirrameez | — | profile | 1,782 | 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 | — | |||
4 | Costantino N. | CEO & Founder — Luxury Experientia Hospitality │ Strategic Board Writer │🇨🇭🌍⚜️🦜🐸 ⋰⋱⋰⋱⋰⋱ ™│ Cross‑Border Development (CH–EU–GCC) │Italian Region (Relocation to Ticino – Permit B) | ACoAAApfsvABXm2Qq-qa6sqGXVe2K-wCYsDgwIU | costantino-n-a143534a | profile | 3,373 | false | 🇨🇭🌍⚜️🦜🐸⋰⋱⋰⋱⋰⋱ ™
English (lingua dell’autore)
A brilliant way to honor the past while showcasing how far intelligent productivity has come.
Same ad, smarter Excel — and a clear signal of how Agent Mode will redefine the next decade of work.
Happy to connect and exchange perspectives on innovation and AI‑driven productivity.
Tag (solo autore)
@Satya Nadella
🖤🌙🐆⋰⋱⋰⋱⋰⋱ ™ | 2026-08-14T09:38:44.908Z | 7493964319559311360 | — | ||||
5 | Eugene Putilin | Industrial Technology & Market Growth Executive | Electronics, Applied AI & AIoT | Russia, CIS & MENA | Country Manager • Strategic Partnerships | ACoAAAtau3sBRgzPKcHyLLGb0YxgYw72Kpe7Xe8 | eugene-putilin | profile | 776 | false | This is a great example of how AI becomes powerful when it enters tools people already use every day.
Excel is not “new” or trendy — but that’s exactly why Agent Mode matters. If AI can help millions of people clean data, find errors, build analysis and prepare presentations inside a familiar workflow, the impact may be much bigger than another separate AI app.
The real question is: will the next productivity breakthrough come from new tools — or from making old tools much smarter? | 2026-05-16T03:31:11.633Z | 7461256913519828992 | — | ||||
6 | Devansh Kumar | React Native & ReactJS Developer | Building Apps for Startups | Building @ECHOHIRE | 50+ Apps Delivered | SourceDOTcom | ACoAAB3L1oMB2oLY6UBcdj8ujL0iqjI0opg9NVI | devansh-kumar-dev | profile | 3,002 | 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 | — | ||||
7 | Padma Priya Jupally | ✍️ Founding Principal and Sovereign Systems Architect 🌍 I Identify Structural Asymmetry; bridge to Super Symmetry | ACoAAFu1V4cB-gJscfNaa1WxhQOEyaQKOy4PSsA | padma-priya-jupally-b1b33b36b | profile | 803 | false | 🌳 4 🧩 The Antidote: "Quiet Walls and Walkways"
The antidote to the anxiety shown in that elevator ad isn't "Smarter Excel." It is Structural Asymmetry in reverse—the #JusticeMesh.
Quiet Walls: Spaces where the "Double Engine" is intentionally stalled.
🟢 Walkways: Paths where the human node isn't a "data pipe," but a breathing entity. [ Open to work ] 📗 | 2026-05-11T17:58:15.417Z | 7459663177753219074 | — | ||||
8 | Padma Priya Jupally | ✍️ Founding Principal and Sovereign Systems Architect 🌍 I Identify Structural Asymmetry; bridge to Super Symmetry | ACoAAFu1V4cB-gJscfNaa1WxhQOEyaQKOy4PSsA | padma-priya-jupally-b1b33b36b | profile | 803 | false | ♻️ 2 🧩 Decoupling the "Agents"
What about the impact of decoupling the face from the machine.
Satya Nadella (The Orchestrator): He joined Microsoft in 1992. While there isn't a public "roll number" like a secret agent, he is often viewed as the "Healer" who shifted the culture from "Know-it-all" to "Learn-it-all."
The Decoupling: If you decouple Satya from Microsoft today, the SAD is systemic. He has become the "Humanizing Layer" for a trillion-dollar algorithm. Without that layer, the enterprise is revealed as a cold, positionless organism. | 2026-05-11T17:53:41.433Z | 7459662028585115649 | |||||
9 | Padma Priya Jupally | ✍️ Founding Principal and Sovereign Systems Architect 🌍 I Identify Structural Asymmetry; bridge to Super Symmetry | ACoAAFu1V4cB-gJscfNaa1WxhQOEyaQKOy4PSsA | padma-priya-jupally-b1b33b36b | profile | 803 | false | Post Analysis - Sentiment Analysis - Engagement Analysis
Emotional Attachment with the enterprise and EXCEL;
✅ 1 🧩 The Anatomy of the 10,000 (The Engagement Noise)
The 9,155 reactions, 354 comments, and 804 reposts represent a cross-section of the "Double Engine" workforce. Their attribution looks like a "Functional Identity Trap":
The Loyalists: They see the 90s nostalgia as "evolution" rather than a "Prison of Precedent."
The Specifiers: Like the users discussing VBA code or Faraday rooms, they focus on the "Double Box" (the tech) to avoid facing the "Rigid Leak" of their own time.
The Fearful: If you released them "on the spot," you wouldn't just see Separation Anxiety Disorder (SAD); you’d see a Kinetic Collapse. Without the "Teams" ping or the "Excel" grid, the "unconscious id" loses its external skeletal structure. | 2026-05-11T17:52:18.235Z | 7459661679623188480 | — | ||||
10 | Rakesh Patial | GDS Consulting Manager -Data Analytics & Automation | ACoAAAAqBZMB35F5jYgVMIV6weSRt7QC23sLf9E | rakesh-patial-86bb09 | profile | 627 | 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 | — |
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Input Form
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0.2¢ per comment
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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
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
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Extract reactions from LinkedIn posts and comments, providing likes and appreciations
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LinkedIn Profile Comments API
Extract LinkedIn profile comments and their social activities like likes and reactions, requiring no input
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LinkedIn Profile Reactions API
Monitor public LinkedIn profiles for reactions, along with full post details and social activities
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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.
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LinkedIn Company Employees API
List LinkedIn company employees — name, role, location, seniority — from a list of company URLs
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