Scraper #8: Export All LinkedIn Group Members to Google Sheets
LinkedIn groups are goldmines of niche professionals. Here's how to export every member to a spreadsheet.
LinkedIn groups are one of the most underused lead sources on the platform. Every member has self-selected into a specific topic - making them pre-qualified by interest. This workflow scrapes all members from any LinkedIn group and exports their profiles to a Google Sheet automatically.
Key Takeaways
- Export every member from any LinkedIn group you belong to
- Handles pagination automatically - scrapes 10 members per page with rate limiting
- Extracts name, profile URL, headline, membership status, and join date for each member
- Output goes directly to Google Sheets for immediate outreach or enrichment
- Works on any LinkedIn group with up to 2,000 members per run
How to Scrape LinkedIn Group Members (5 Steps)
- Navigate to your target LinkedIn group - click on the "Members" tab to load the members list
- Open Chrome DevTools (F12 or Cmd+Option+I) - go to the Network tab and scroll the members list to trigger the API
- Find the right request - look for
graphql?variables=(groupUrn:...in the Network tab (responses of 10-100+ kB) - Copy the request as fetch - right-click the request → Copy → Copy as fetch, then paste into Needle's Manual Trigger node
- Connect Google Sheets and hit Run - the workflow loops through all pages, extracts member profiles, and writes them to your sheet
We tested this on a 665-member group and exported every single profile in under 10 minutes.
Why LinkedIn Groups Are Valuable Lead Sources
| Signal | Why It Matters | Lead Score |
|---|---|---|
| Self-selected into a niche topic | They actively joined the group - not passive followers | Very High |
| Active LinkedIn user | Group membership proves they use the platform regularly | High |
| Reachable via group messaging | Fellow group members can message each other without connecting first | High |
| Recent joiners | Members who just joined are actively exploring the topic - highest intent | Highest |
5 Types of LinkedIn Groups Worth Scraping
Not all groups are created equal. Focus on these five types for the highest-quality leads:
- Industry-specific groups - groups centered around your target industry (e.g., "SaaS Founders", "AI & Automation Professionals")
- Tool-specific groups - groups for users of complementary or competing tools your ICP also uses
- Regional professional groups - location-based groups if you sell to a specific geography
- Conference and event groups - groups created for industry events attract high-intent professionals
- Job function groups - groups for specific roles like "CTOs", "Marketing Directors", or "DevOps Engineers"
What Gets Exported
| Column | Description |
|---|---|
| name | Full name (first + last) |
| linkedin_url | Direct link to their LinkedIn profile |
| headline | Their LinkedIn headline (job title / tagline) |
| location | Geographic location (when available) |
| membership_status | MEMBER, OWNER, or MANAGER |
| joined_at | When they joined the group (ISO timestamp) |
Quick Reference
| Members per run | Up to 2,000 (200 pages × 10 per page) |
| Time to run | ~10 minutes for 665 members (3s delay per page) |
| Output format | Google Sheets (name, URL, headline, location, status, join date) |
| What you need | Chrome DevTools + Needle account + Google Sheets + group membership |
| Works on | Any LinkedIn group you are a member of |
Summary
LinkedIn groups are curated communities of professionals who share a common interest - making every member a potential lead. With this Needle workflow, you can export the entire membership list of any group you belong to in minutes. The workflow handles pagination automatically, extracts profile data including join dates and membership status, and writes everything to Google Sheets. Combine this with Needle's LinkedIn Profile Enricher workflow to add company, job title, and contact details for a complete lead list ready for outreach.
Part 8 of the lead scraper series. Build your pipeline one group at a time.
