How do I connect Make to Scrapernode?

Use Make's webhook trigger to receive data from Scrapernode. Copy the webhook URL from Make and paste it into Scrapernode's webhook settings for the scraper. Each completed job sends results automatically.

What LinkedIn people search data fields are sent to Make?

All 7 output fields from the LinkedIn People Search scraper are included: url, name, subtitle, location, experience, education, and more. The full payload is sent as structured JSON — no fields are filtered out.

Can I schedule recurring LinkedIn scrapes to Make?

Yes. Use Make's scheduling features to trigger Scrapernode scrapes on a recurring basis via the REST API. You can also set up Make to process results as they arrive via webhooks.

How much does it cost to scrape LinkedIn people search into Make?

Each people search record costs 1 credit. Credits start at $9 for 3,000 credits (Starter plan). The Make integration itself is included free — no additional charges for data delivery.

What happens if the Make delivery fails?

Your scraped data is always stored in Scrapernode regardless of the integration status. If delivery to Make fails, you can re-trigger the sync or download results manually as CSV or JSON from the job details page.

LinkedInMake

How to Scrape LinkedIn People Search into Make

Extract people search data from LinkedIn and pipe into Make automatically

Step-by-step guide

Choose the LinkedIn People Search scraper

Navigate to the LinkedIn People Search scraper in Scrapernode. Select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.

Set up your Make connection

Create a new Make scenario with a Webhook trigger module. Copy the webhook URL into Scrapernode's webhook settings. Use Make's built-in JSON parser to map scraper fields to downstream modules like "Create Spreadsheet Row" or "Send Email".

Provide your LinkedIn input URLs

Paste the LinkedIn URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and content pages.

Launch the scraping job

Click "Start Extraction" to begin. Scrapernode handles proxy rotation, rate limiting, and anti-bot detection automatically. Jobs typically complete in under 60 seconds per batch.

Receive data in Make

When the job completes, Scrapernode sends the full results to your Make workflow. Each record includes 7 fields like url, name, subtitle, location. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

1 credit

Output fields

7 fields

Destination

Make

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5

Url

sample_url

Name

Sarah Chen

Subtitle

Staff Software Engineer at Meta

Location

San Francisco, CA

Experience

Array [2]

Object {3}

role:"VP of Engineering"

company:"Stripe"

years:"2021-present"

Object {3}

role:"Staff Engineer"

company:"Google"

years:"2017-2021"

Education

Array [1]

Object {2}

degree:"M.S. Computer Science"

school:"Stanford University"

Avatar

https://media.licdn.com/dms/image/v2/photo_1.jpg

Data Dictionary

7 fields returned per record

LinkedIn profile URL of the discovered person (100.00% fill rate)

Full name of the person (100.00% fill rate)

Professional headline or subtitle (34.28% fill rate)

Geographic location of the person (99.92% fill rate)

Current or recent work experience (37.30% fill rate)

Educational background (63.51% fill rate)

URL to profile avatar image (96.38% fill rate)

Frequently Asked Questions

Common questions about How to Scrape LinkedIn People Search into Make

Ready to connect LinkedIn data to Make?

Start extracting linkedin people search data and pipe into Make in minutes.

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No code requiredAuto-delivery to Make7 data fields