LinkedIn Reactions Scraper - Extract Post & Article Engagement
Pricing
$3.00 / 1,000 reactions
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LinkedIn Reactions Scraper - Extract Post & Article Engagement
Scrape all reactions from any LinkedIn post or article in bulk
Pricing
$3.00 / 1,000 reactions
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Benjar Scraping API
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4 days ago
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LinkedIn Post Reactions Scraper
Effortlessly extract all reactions from any LinkedIn post, article, or video. Get detailed engagement data including the reactor's name, headline, profile URL, and the specific type of reaction they left (Like, Celebrate, Insightful, etc.) — all structured and ready for analysis.
Why Use This LinkedIn Reactions Scraper?
- Comprehensive Extraction — Collect thousands of reactions from any LinkedIn post, regardless of whether it's an activity, share, or ugcPost.
- Smart URL Resolution — Simply paste the post URL. The scraper automatically resolves complex LinkedIn share links and finds the underlying content URN to ensure no reactions are missed.
- Rich Structured Data — Get the exact reaction type (LIKE, PRAISE, EMPATHY, INTEREST, ENTERTAINMENT, APPRECIATION) along with the reactor's profile data.
- Granular Filtering — Optionally filter by specific reaction types (e.g., only extract people who found your post "Insightful" or "Funny").
- Export-Ready — Download results as JSON, CSV, Excel, or any format supported by Apify.
Input
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
postUrl | string | Yes | — | URL or ID of the LinkedIn post to scrape reactions for (e.g. https://www.linkedin.com/posts/activity-123456789) |
maxReactions | integer | No | 100 | Maximum number of reactions to collect. Set higher to get all reactions on viral posts. |
reactionType | string | No | "" (All) | Optional filter for a specific reaction type: LIKE, INTEREST (Insightful), EMPATHY (Support), PRAISE (Celebrate), APPRECIATION (Love), ENTERTAINMENT (Funny). |
Usage Examples
Scrape all reactions from a post
{"postUrl": "https://www.linkedin.com/posts/activity-7397121047453523969","maxReactions": 1000,"reactionType": ""}
Scrape only "Insightful" (INTEREST) reactions
{"postUrl": "urn:li:share:7428514376967442432","maxReactions": 100,"reactionType": "INTEREST"}
Output — LinkedIn Reaction Data Structure
Each run produces a dataset where every item represents a single reaction with the following fields:
| Field | Type | Description |
|---|---|---|
reaction_type | string | The type of reaction (e.g., LIKE, PRAISE, INTEREST, EMPATHY) |
reactor.urn | string | The unique LinkedIn URN of the person who reacted |
reactor.name | string | Full name of the reactor |
reactor.headline | string | The LinkedIn headline/job title of the reactor |
reactor.profile_url | string | Direct link to the reactor's LinkedIn profile |
reactor.profile_picture | string | null | URL to the reactor's profile picture |
_metadata.post_url | string | The canonical URL of the post being scraped |
_metadata.total_reactions | integer | The total number of reactions on the post |
Sample Output
[{"reaction_type": "PRAISE","reactor": {"urn": "ACoAAA0GnQkBtyP_EgvDo0l_uUSkBHYxaw8eF74","name": "Harold Storz","headline": "Chief Commercial Officer - First Tool Group","profile_url": "https://www.linkedin.com/in/ACoAAA0GnQkBtyP_EgvDo0l_uUSkBHYxaw8eF74","profile_picture": "https://media.licdn.com/dms/image/v2/C4D03AQH..."},"_metadata": {"post_url": "https://www.linkedin.com/feed/update/urn:li:ugcPost:7372231672299429888","page_number": 1,"total_reactions": 2713}}]
Use Cases for LinkedIn Reactions Data
- Lead Generation — Identify and extract prospects who engaged with your content or your competitors' content.
- Audience Profiling — Analyze the job titles, industries, and seniority of the people engaging with specific posts to refine your content strategy.
- Intent Signals — Use specific reactions (like "Insightful") as high-intent signals for outreach campaigns.
- Influencer Research — Validate influencer engagement quality by analyzing who is actually reacting to their posts.
- Sales Intelligence — Track which prospects are engaging with industry-specific thought leadership content.