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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 Company Reviews into n8n
Facebookn8n

How to Scrape Facebook Company Reviews into n8n

Extract company reviews data from Facebook and send to n8n automatically

Step-by-step guide

1

Choose the Facebook Company Reviews scraper

Navigate to the Facebook Company Reviews 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 n8n connection

Install the Scrapernode community node from the n8n node library, or use the generic Webhook trigger node with your Scrapernode webhook URL. Configure the workflow to process incoming scraper data.

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 n8n

When the job completes, Scrapernode sends the full results to your n8n workflow. Each record includes 18 fields like company_name, company_id, company_url, url. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

1 credit

Output fields

18 fields

Destination

n8n

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5
Company Name
Notion Labs, Inc.
Company Id
sample_company_id
Company Url
sample_company_url
Url
sample_url
Review Time
sample_review_time
Recommends
Yes
Review Content
sample_review_content
Review Attachments
sample_review_attachments
Number Of Reactions To Review
1,000
Review Reaction Types
sample_review_reaction_types
Reviewer Profile Url
sample_reviewer_profile_url
Reviewer Name
sample_reviewer_name
Reviewer Profile Picture Url
sample_reviewer_profile_picture_url
Recommended Perc
sample_recommended_perc
Likes
34,108
Followers
28,401,080
Total Reviews
1,000
Replies
37

Data Dictionary

18 fields returned per record

The name of the company being reviewed (100.00% fill rate)

A unique identifier for each company being reviewed (100.00% fill rate)

The URL of the reviewed company (100.00% fill rate)

The URL of the specific review on Facebook (100.00% fill rate)

The date and time when the review was posted (100.00% fill rate)

Whether the reviewer recommends the company (100.00% fill rate)

The textual content of the review (89.00% fill rate)

URLs of any attachments included in the review (9.00% fill rate)

The total number of reactions to the review (100.00% fill rate)

Types of reactions to the review (like, love, wow, etc.) (36.00% fill rate)

The URL of the reviewer's Facebook profile (44.00% fill rate)

The name of the reviewer (99.00% fill rate)

The reviewer's profile picture URL (99.00% fill rate)

The percentage of recommended reviews for the company (94.00% fill rate)

The amount of likes the page has (98.00% fill rate)

The amount of followers the page has (98.00% fill rate)

The total number of reviews for the company (98.00% fill rate)

Replies to the review (33.00% fill rate)

Sub-fields

reply_writerTextName of the reply author
contentTextReply content text
writer_image_urlTextReply author's image URL
dateTextReply date

Frequently Asked Questions

Common questions about How to Scrape Facebook Company Reviews into n8n

Ready to connect Facebook data to n8n?

Start extracting facebook company reviews data and send to n8n in minutes.

Go to Facebook Company Reviews scraperBrowse all integration guides
No code requiredAuto-delivery to n8n18 data fields