LinkedIn Posts Scraper

📌 What post and engagement data can you collect from LinkedIn pages?

This template collects listing records with Name, FollowerNumber, Posted, PostContent, Comment, Repost, and Reaction. It is useful for social-media researchers, content teams, brand analysts, and audience researchers.

Data is collected from LinkedIn. LinkedIn is a professional network where people and organizations publish posts and build audiences.

💰 Pricing

This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.

📦 Output

LinkedIn Posts Scraper returns these fields:

• Name
• FollowerNumber
• Posted
• PostContent
• Comment
• Repost
• Reaction

{
  "Name": "Data & Analytics Data & Analytics",
  "FollowerNumber": "92,620 followers",
  "Posted": "3d •",
  "PostContent": "Join the Bright Data Scrape Challenge: Master Scalable Web ScrapingReady to tackle the toughest web scraping challenges? The Bright Data Scrape Challenge is your chance to sharpen your skills, overcome real-world barriers like IP blocks, dynamic content, and compliance, and explore cutting-edge tools for scalable data collection.Learn practical strategies, connect with a passionate community, and gain access to Bright Data’s powerful solutions to elevate your web scraping game.Sign up today—because the future of data collection starts with you!",
  "Comment": "4 comments",
  "Repost": "3 reposts",
  "Reaction": "50"
}

🎯 Use Cases

• Build a structured research dataset organized by Name.
• Analyze source content and timing through PostContent.
• Measure audience or customer engagement using Comment, Repost, and Reaction.
• Review and export PostContent for operational analysis or reporting.

🐙 Why Octoparse

• Built for LinkedIn: The automation opens or constructs pages from LinkedIn Account, LinkedIn Password, and LinkedIn Post Page URLs (up to 10,000), iterates the visible listing or profile items, and writes structured rows including Name, FollowerNumber, Posted, and PostContent.
• Inputs match the workflow: The form uses LinkedIn Account, LinkedIn Password, and LinkedIn Post Page URLs (up to 10,000 entries).
• Fields stay connected: LinkedIn Posts Scraper returns Name, Comment, PostContent, FollowerNumber, and Posted in the same structured dataset.
• Ready for repeat use: After LinkedIn Posts Scraper runs locally, schedule eligible tasks and export the rows for spreadsheets, dashboards, APIs, or AI workflows.

{
  "linkedIn_Account": "example",
  "linkedIn_Password": "example",
  "linkedIn_Post_Page_URLs": [
    "https://www.octoparse.com"
  ]
}

[]

📝 Input

Complete the following fields:

• LinkedIn Account (Required) — LinkedIn Account.
• LinkedIn Password (Required) — LinkedIn Password.
• LinkedIn Post Page URLs (Required) — LinkedIn Post Page URLs. Up to 10,000 entries per run.

🚀 How to Use

1. Open LinkedIn Posts Scraper and click Try it!.
2. Complete LinkedIn Account, LinkedIn Password, and LinkedIn Post Page URLs using the formats and limits shown in the Input section.
3. Run it locally in Octoparse and start the task.
4. Review fields such as Name, Comment, and PostContent, then export the rows in the format you need.

💡 Tips

• Start with a small, representative LinkedIn Account selection before scaling the task.
• Use Name and Comment when checking duplicates or comparing repeated exports.

❓ FAQ

What do I enter in LinkedIn Posts Scraper?

Complete LinkedIn Account, LinkedIn Password, and LinkedIn Post Page URLs using the accepted values and limits listed in the Input section.

Which LinkedIn pages does LinkedIn Posts Scraper process?

The workflow is configured for listing pages and profile pages and returns fields such as Name, Comment, PostContent, and FollowerNumber.

What can I use data from LinkedIn Posts Scraper for?

Build a structured research dataset organized by Name.

🔗 Related Templates

• LinkedIn Company Profile Scraper — Add LinkedIn company-profile data to a broader professional-network research workflow.
• 🔥 LinkedIn Job Scraper — Collect LinkedIn job listings as a separate same-platform dataset.
• LinkedIn Job Details Page Scraper — Collect LinkedIn job details when the research scope also includes open roles.