LinkedIn User Comments & Reactions Scraper

Extract public comments and reactions made by any LinkedIn user — no LinkedIn account or cookies required. Returns structured JSON data including reaction breakdowns, post content, author details, media attachments, and timestamps.

Key Features

• No LinkedIn account needed — no cookies, no login, no risk to your account
• Three scrape modes — scrape comments only, reactions only, or both at once
• Full post context — comment text, post content, linked articles, images, and media
• Reaction breakdown — likes, appreciations, empathy, interests, praises, comments, and reposts
• Date filtering — limit results to the past 24 hours, week, month, 3 months, 6 months, or year
• Bulk scraping — process multiple LinkedIn profiles in a single run
• Direct post URLs — every result includes a link back to the original LinkedIn post

---

How to Use

1. Choose a Scrape Type: comments, reactions, or both
2. Add LinkedIn profiles: Provide full profile URLs (https://www.linkedin.com/in/satyanadella) or just usernames (satyanadella)
3. Set a result limit (optional): Control how many items to scrape per profile (default: 10)
4. Set a date filter (optional): Only fetch activity from a specific time window

---

Input Parameters

Parameter	Type	Required	Default	Description
scrapeType	string	No	comments	What to scrape: comments, reactions, or both
profiles	string[]	Yes	—	LinkedIn profile URLs or usernames
maxItems	integer	No	10	Maximum items to scrape per profile
postedLimit	string	No	any	Time filter: any, 24h, week, month, 3months, 6months, year

---

Input Examples

Scrape comments from a single profile

{
  "scrapeType": "comments",
  "profiles": ["https://www.linkedin.com/in/satyanadella"],
  "maxItems": 20,
  "postedLimit": "month"
}

Scrape reactions from multiple profiles

{
  "scrapeType": "reactions",
  "profiles": ["satyanadella", "jeffweiner08"],
  "maxItems": 50
}

Scrape both comments and reactions

{
  "scrapeType": "both",
  "profiles": ["https://www.linkedin.com/in/satyanadella"],
  "maxItems": 25,
  "postedLimit": "3months"
}

---

Output Examples

Comments Output

Each comment object includes the full comment text, author details, engagement stats, and any attached media.

{
  "posted_at": "2 months ago",
  "text": "Great insights on the future of AI in enterprise...",
  "url": "https://www.linkedin.com/feed/update/urn:li:activity:1234567890/comment/urn:li:comment:(activity:1234567890,1234567891)",
  "author": {
    "first_name": "Satya",
    "last_name": "Nadella",
    "headline": "Chairman and CEO at Microsoft",
    "profile_url": "https://www.linkedin.com/in/satyanadella",
    "profile_picture": "https://media.licdn.com/dms/image/..."
  },
  "stats": {
    "total_reactions": 2508,
    "likes": 2048,
    "appreciations": 63,
    "empathy": 195,
    "interests": 20,
    "praises": 182,
    "comments": 159,
    "reposts": 159
  },
  "media": {
    "type": "article",
    "url": "https://www.example.com/article",
    "thumbnail": "https://media.licdn.com/dms/image/..."
  },
  "query": {
    "profile": "satyanadella"
  }
}

Reactions Output

Each reaction object shows the type of reaction (LIKE, APPRECIATION, etc.), the post that was reacted to, and engagement stats.

{
  "action": "LIKE",
  "text": "Excited to announce our latest partnership with...",
  "author": {
    "firstName": "Satya",
    "lastName": "Nadella",
    "headline": "Chairman and CEO at Microsoft",
    "profile_url": "https://www.linkedin.com/in/satyanadella",
    "profile_picture": "https://media.licdn.com/dms/image/..."
  },
  "post_stats": {
    "totalReactionCount": 1177,
    "like": 884,
    "appreciation": 3,
    "empathy": 103,
    "interest": 22,
    "praise": 165,
    "comments": 54,
    "reposts": 61
  },
  "timestamps": {
    "relative": "5d"
  },
  "query": {
    "profile": "satyanadella"
  }
}

---

Result Limits

• Default: 10 items per profile
• Maximum: Up to ~2,000 items per profile (100 pages x 20 items)
• When using "both" mode, the limit applies independently to comments and reactions
• Use the maxItems parameter to control output volume

---

Use Cases

• Competitor analysis — Monitor what industry leaders are engaging with
• Influencer research — Understand what topics a LinkedIn influencer comments on
• Sentiment analysis — Analyze the tone and topics of a user's public activity
• Lead research — See what prospects are interested in before reaching out
• Content strategy — Discover trending topics by analyzing reactions from key profiles

---

Tips

• Use usernames instead of full URLs — both formats work, but usernames are shorter and easier to manage in bulk
• Start with a small maxItems value to preview results before running large scrapes
• Combine with date filtering to focus on recent activity and reduce unnecessary data
• Use "both" mode to get a complete picture of a user's LinkedIn activity in one run

---

Disclaimer

This Actor is provided for educational and research purposes only. By using this Actor, you agree to the following:

• This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation.
• LinkedIn is a registered trademark of LinkedIn Corporation. All trademarks are the property of their respective owners.
• This Actor only accesses publicly available data. It does not bypass any authentication, access private profiles, or violate LinkedIn's login barriers.
• You are solely responsible for ensuring your use of this Actor complies with all applicable laws, regulations, and LinkedIn's Terms of Service.
• The authors and maintainers of this Actor assume no liability for any misuse, legal consequences, or damages arising from the use of this tool.
• Do not use this Actor for spamming, harassment, unauthorized data collection, or any activity that violates the rights of others.

Use responsibly and ethically.