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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 Pages & Profiles into Make
FacebookMake

How to Scrape Facebook Pages & Profiles into Make

Extract pages & profiles data from Facebook and pipe into Make automatically

Step-by-step guide

1

Choose the Facebook Pages & Profiles scraper

Navigate to the Facebook Pages & 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 25 fields like id, url, page_name, username. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

1 credit

Output fields

25 fields

Destination

Make

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5
Id
ACoAABcXYZ123
Url
sample_url
Page Name
sample_page_name
Username
@sarahchen
Entity Type
sample_entity_type
Summary Text
sample_summary_text
Primary Category
sample_primary_category
Work
sample_work
Education
Array [1]
Object {2}
degree:"M.S. Computer Science"
school:"Stanford University"
Current City
sample_current_city
Hometown
sample_hometown
Relationship
sample_relationship
Address
600 Guerrero St, San Francisco, CA 94110
Phones
sample_phones
Emails
sample_emails
Websites
sample_websites
Hours
sample_hours
Rating
4.5
Contact And Basic Info
sample_contact_and_basic_info
Page Transparency
sample_page_transparency
Details About
sample_details_about
Privacy And Legal Info
sample_privacy_and_legal_info
Followers
28,401,080
Logo
sample_logo
Is Verified
Yes

Data Dictionary

25 fields returned per record

Internal record ID (100.00% fill rate)

Facebook page URL (100.00% fill rate)

Page display name (100.00% fill rate)

Page handle (username) (100.00% fill rate)

Page or Profile (50.00% fill rate)

Intro tagline text (50.00% fill rate)

Primary category (60.00% fill rate)

Employment lines (5.00% fill rate)

Sub-fields

titleTextRole or verb
organization_nameTextOrganization name
organization_urlTextOrganization URL
start_dateTextStart date
end_dateTextEnd date

Education lines (5.00% fill rate)

Sub-fields

degree_or_fieldTextDegree or field
institution_nameTextInstitution name
institution_urlTextInstitution URL

Current city (6.00% fill rate)

Hometown (5.00% fill rate)

Relationship info (4.00% fill rate)

Sub-fields

statusTextStatus (e.g., Married)
partner_nameTextPartner name
partner_urlTextPartner profile URL

Business/location address (30.00% fill rate)

Sub-fields

formattedTextFull address shown
streetTextStreet and number
cityTextCity
regionTextState/region
postal_codeTextZIP/postal code
countryTextCountry
latitudeNumberLatitude
longitudeNumberLongitude

Phone numbers (31.00% fill rate)

Email addresses (31.00% fill rate)

Websites and social links (0.00% fill rate)

Opening hours (0.00% fill rate)

Sub-fields

open_nowBooleanCurrently open
status_textTextDisplay text
scheduleArrayWeekly schedule

Rating summary (0.00% fill rate)

Sub-fields

valueNumberAverage rating 0-5
countNumberReviews count
textTextDisplayed rating text

About > Contact and basic info (100.00% fill rate)

Sub-fields

categoriesArrayAll categories listed
contact_infoObjectContact information block
basic_infoObjectBasic info block

About > Page transparency (29.00% fill rate)

Sub-fields

page_idTextTransparency section Page ID
creation_dateTextPage creation date
admin_info_textTextAdmin info notes
is_running_adsBooleanCurrently running ads

About > Details About (0.00% fill rate)

Sub-fields

about_textTextLong description text

Privacy/terms/legal notes (0.00% fill rate)

Number of followers (62.00% fill rate)

The page logo (100.00% fill rate)

Is the page verified (100.00% fill rate)

Frequently Asked Questions

Common questions about How to Scrape Facebook Pages & Profiles into Make

Ready to connect Facebook data to Make?

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

Go to Facebook Pages & Profiles scraperBrowse all integration guides
No code requiredAuto-delivery to Make25 data fields