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ScrapeLinkedInLinkedInprofiles by search term
Scrape LinkedIn profiles by search term. Extract Google Maps business listings and reviews. Collect Facebook pages, groups and posts. Scrape Instagram profiles, reels and comments. Extract TikTok posts and creator profiles. Collect YouTube channels and video data. Scrape X / Twitter profiles and posts. Extract Indeed job listings and salaries. Collect Yelp business reviews and ratings.
Home/Integrations/How to Scrape Facebook Personal Profiles into Make
FacebookMake

How to Scrape Facebook Personal Profiles into Make

Extract personal profiles data from Facebook and pipe into Make automatically

Step-by-step guide

1

Choose the Facebook Personal Profiles scraper

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

2

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".

3

Provide your Facebook input URLs

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

4

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.

5

Receive data in Make

When the job completes, Scrapernode sends the full results to your Make workflow. Each record includes 9 fields like url, name, id, profile_photo. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

1 credit

Output fields

9 fields

Destination

Make

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5
Url
sample_url
Name
Sarah Chen
Id
ACoAABcXYZ123
Profile Photo
sample_profile_photo
Cover Photo
sample_cover_photo
Work
sample_work
College
sample_college
High School
sample_high_school
Photos
sample_photos

Data Dictionary

9 fields returned per record

Facebook profile URL (100.00% fill rate)

The name of the person (100.00% fill rate)

The Facebook profile ID (100.00% fill rate)

The profile photo (100.00% fill rate)

The profile's cover photo (94.00% fill rate)

The working places of the profile (3.00% fill rate)

Sub-fields

titleTextThe work's title
start_dateTextWork start date
end_dateTextWork end date
companyTextWork company
company_idTextWork company ID
urlTextWork company URL

College data of the profile (2.00% fill rate)

Sub-fields

nameTextCollege name
idTextCollege Facebook ID
urlTextCollege Facebook URL

High school data of the profile (3.00% fill rate)

Sub-fields

nameTextHigh school name
idTextHigh school ID
urlTextHigh school URL

The profile's photos (96.00% fill rate)

Frequently Asked Questions

Common questions about How to Scrape Facebook Personal Profiles into Make

Ready to connect Facebook data to Make?

Start extracting facebook personal profiles data and pipe into Make in minutes.

Go to Facebook Personal Profiles scraperBrowse all integration guides
No code requiredAuto-delivery to Make9 data fields