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 companies data fields are sent to Make?

All 36 output fields from the LinkedIn Companies scraper are included: id, name, country_code, locations, followers, employees_in_linkedin, 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 companies into Make?

Each companies record costs 2 credits. 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 Companies into Make

Extract companies data from LinkedIn and pipe into Make automatically

Step-by-step guide

Choose the LinkedIn Companies scraper

Navigate to the LinkedIn Companies scraper in Scrapernode. Select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 2 credits.

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 36 fields like id, name, country_code, locations. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

2 credits

Output fields

36 fields

Destination

Make

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5

ACoAABcXYZ123

Name

Sarah Chen

Country Code

Locations

sample_locations

Followers

28,401,080

Employees In Linkedin

1,000

About

Passionate about making technology accessible. 15 years building products that millions of people use daily.

Specialties

sample_specialties

Company Size

sample_company_size

Organization Type

sample_organization_type

Industries

sample_industries

Website

https://stripe.com

Crunchbase Url

sample_crunchbase_url

Founded

2025-12-15

Company Id

sample_company_id

Employees

Array [2]

Object {2}

name:"Lisa Su"

role:"CEO"

Object {2}

name:"Mark Papermaster"

role:"CTO"

Headquarters

San Francisco, CA

Image

sample_image

Logo

sample_logo

Similar

sample_similar

Url

sample_url

Updates

sample_updates

Slogan

sample_slogan

Affiliated

sample_affiliated

Funding

$45M Series B

Investors

Sequoia Capitala16zIndex Ventures

Formatted Locations

sample_formatted_locations

Stock Info

sample_stock_info

Get Directions Url

sample_get_directions_url

Description

Enterprise-grade data pipeline platform with real-time processing and 99.99% uptime SLA.

Additional Information

sample_additional_information

Country Codes Array

sample_country_codes_array

Alumni

1,000

Alumni Information

sample_alumni_information

Website Simplified

sample_website_simplified

Unformatted About

sample_unformatted_about

Data Dictionary

36 fields returned per record

Unique to each company (100.00% fill rate)

The name of the company (100.00% fill rate)

The country where the company is located or headquartered (87.48% fill rate)

General information about the company's locations (89.13% fill rate)

Sub-fields

countryTextCountry name

cityTextCity name

is_hqBooleanWhether this is the headquarters

postal_codeTextPostal/zip code

line1TextAddress line 1

geographic_areaTextState or geographic area

The number of followers the company has on LinkedIn (47.41% fill rate)

The number of employees listed on LinkedIn (100.00% fill rate)

A description or summary of the company (30.47% fill rate)

List of the company's specializations (13.58% fill rate)

The number of employees in the company, as reported by the company (59.13% fill rate)

The type of organization (28.43% fill rate)

The industries to which the company belongs (77.94% fill rate)

The official website of the company (49.03% fill rate)

URL linking to the company's profile on Crunchbase (0.38% fill rate)

The year in which the company was founded (22.66% fill rate)

A unique identifier for the company (100.00% fill rate)

Additional information about the company's employees (35.45% fill rate)

Sub-fields

imgTextThe URL or link to the employee image

linkTextThe URL or link to the employee LinkedIn page

subtitleTextPosition

titleTextEmployee name

The location of the company's headquarters (87.94% fill rate)

URL that links to the banner photo associated with the company's LinkedIn page (100.00% fill rate)

URL that links to the profile picture of the company's LinkedIn page (100.00% fill rate)

Information about similar companies (33.74% fill rate)

Sub-fields

LinksTextThe URL or link to the company's LinkedIn page

subtitleTextThe industries to which the company belongs

titleTextThe name of the company

locationTextGeneral information about the company's locations

The URL or link to the company's LinkedIn page (100.00% fill rate)

Information about the company's most recent posts on LinkedIn (8.98% fill rate)

Sub-fields

likes_countNumberThe total number of likes

textTextThe post

timeTextThe timestamp indicating when the post was written

titleTextThe title of the post

comments_countNumberThe total number of comments

external_linkTextLink to the post itself

imagesArrayAn image associated with the post

videosArrayA video associated with the post

post_urlTextDirect URL to the LinkedIn post

post_idTextLinkedIn post ID

dateTextThe date the post has been posted on

tagged_companiesArrayTagged companies details

tagged_peopleArrayTagged people details

repostObjectDetails of the original post that was reshared

text_htmlTextThe post text's HTML

The company's slogan (20.42% fill rate)

Information about affiliated companies (1.79% fill rate)

Sub-fields

titleTextThe name of the company

subtitleTextThe industries to which the company belongs

locationTextGeneral information about the company's locations

LinksTextThe URL or link to the company's LinkedIn page

Information related to the company's financial backing and investments (0.38% fill rate)

Sub-fields

last_round_dateTextLast round date

last_round_typeTextLast round type

roundsNumberRounds

last_round_raisedTextLast round raised

Information about the company's investors (0.18% fill rate)

Sub-fields

nameTextInvestor name

urlTextInvestor LinkedIn URL

Geographical location of the company (89.13% fill rate)

Sub-fields

addressTextFormatted address string

Information about the company's stock-related data (0.00% fill rate)

Sub-fields

idTextA unique identifier

datetimeTextThe timestamp indicating when the information was recorded

stock_exchangeTextStock exchange

stock_tickerTextStock ticker

stock_priceTextStock price

stock_price_changeTextStock price change

stock_providerTextStock provider

The url of the directions provided by the company on LinkedIn (92.31% fill rate)

Sub-fields

directions_urlTextDirections URL

Raw description in HTML (100.00% fill rate)

Open-roles summary text extracted from LinkedIn (5.57% fill rate)

Array of all relevant countries the company is located in (87.48% fill rate)

Number of alumni on LinkedIn (0.19% fill rate)

Aggregated alumni insights (0.19% fill rate)

Sub-fields

headerTextSection header

titleTextMetric label within the section

valueTextMetric value text

Company website root domain (49.02% fill rate)

Raw About text captured from the page (30.48% fill rate)

Frequently Asked Questions

Common questions about How to Scrape LinkedIn Companies into Make

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No code requiredAuto-delivery to Make36 data fields