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Home/How-To Guides/How to Scrape Facebook Comments
Facebook

How to Scrape Facebook Comments

Extract comments data from Facebook at scale

Step-by-step guide

1

Choose your Facebook comments scraper

Navigate to the Facebook Comments scraper and select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.

2

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 hashtag pages.

3

Launch your 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.

4

Download structured data

Once complete, download your results as JSON or CSV. Each record includes 22 structured fields like url, post_id, post_url, comment_id, and more.

5

Automate with webhooks or API

Set up webhooks to receive data automatically when jobs complete, or use the REST API for programmatic scraping. Integrate with n8n, Make, or Zapier for workflow automation.

Cost per record

1 credit

Output fields

22 fields

Output formats

JSON, CSV

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5
Url
sample_url
Post Id
sample_post_id
Post Url
sample_post_url
Comment Id
sample_comment_id
User Name
James K.
User Id
sample_user_id
User Url
sample_user_url
Date Created
2025-12-15
Comment Text
Great analysis! Would love to see a deeper dive on the retention metrics.
Num Likes
45
Num Replies
5
Attached Files
sample_attached_files
Video Length
0:47
Source Type
sample_source_type
Subtype
sample_subtype
Type
sample_type
Commentator Profile
sample_commentator_profile
Comment Link
sample_comment_link
Reply
Yes
Parent Comment Id
sample_parent_comment_id
Commentator Profile Url
sample_commentator_profile_url
Attached Images
sample_attached_images

Data Dictionary

22 fields returned per record

The URL of the page or post containing the comments (100.00% fill rate)

Unique identifier for each post (100.00% fill rate)

URL of the specific post (100.00% fill rate)

Unique identifier for each comment (100.00% fill rate)

Name of the user who made the comment (100.00% fill rate)

Unique identifier for each user (100.00% fill rate)

URL of the user's profile (53.75% fill rate)

Date and time when the comment was created (100.00% fill rate)

The actual text content of the comment (93.65% fill rate)

Number of likes or reactions received by the comment (95.73% fill rate)

Number of direct replies to the comment (95.57% fill rate)

Any files or attachments associated with the comment (10.85% fill rate)

Length of video content, if applicable (0.00% fill rate)

Type of source (93.65% fill rate)

Subcategory or specific type of the post or comment (93.65% fill rate)

General category of the post or comment (100.00% fill rate)

Commentator profile URL (47.19% fill rate)

Direct link to the comment (85.88% fill rate)

Whether this is a reply to another comment (55.25% fill rate)

Parent comment id (1.87% fill rate)

The URL of the profile picture of the commentator (5.48% fill rate)

Any images associated with the comment (0.06% fill rate)

Frequently Asked Questions

Common questions about How to Scrape Facebook Comments

Ready to scrape Facebook?

Start extracting facebook comments data in minutes. No code required — just paste your URLs and go.

Go to Facebook Comments scraperBrowse all guides
No code requiredJSON & CSV exportAPI & webhook support