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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 Instagram Comments into n8n
Instagramn8n

How to Scrape Instagram Comments into n8n

Extract comments data from Instagram and send to n8n automatically

Step-by-step guide

1

Choose the Instagram Comments scraper

Navigate to the Instagram Comments 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 Instagram input URLs

Paste the Instagram 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 14 fields like url, comment_user, comment_user_url, comment_date. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

1 credit

Output fields

14 fields

Destination

n8n

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5
Url
sample_url
Comment User
sample_comment_user
Comment User Url
sample_comment_user_url
Comment Date
sample_comment_date
Comment
sample_comment
Likes Number
1,000
Replies Number
1,000
Replies
37
Hashtag Comment
sample_hashtag_comment
Tagged Users In Comment
sample_tagged_users_in_comment
Post Url
sample_post_url
Post User
sample_post_user
Comment Id
sample_comment_id
Post Id
sample_post_id

Data Dictionary

14 fields returned per record

The URL of the Instagram post or profile (100.00% fill rate)

The username commenting (100.00% fill rate)

Url of the commenting user (100.00% fill rate)

Date when the comment was made (100.00% fill rate)

The content of the comment (98.61% fill rate)

Number of likes on the comment (64.29% fill rate)

Number of replies on the comment (100.00% fill rate)

Replies on the comment (5.52% fill rate)

Sub-fields

reply_userTextUsername of the reply author
reply_dateTextDate of the reply
replyTextReply text content
likes_numberNumberNumber of likes on the reply

The hashtags used in the comment (1.32% fill rate)

Sub-fields

hashtagTextHashtag text
urlTextHashtag URL

The usernames tagged in the comment (5.50% fill rate)

Sub-fields

usernameTextTagged username
urlTextTagged user profile URL

The URL of the post itself (100.00% fill rate)

The user posting the original post (99.71% fill rate)

Unique id for each comment (100.00% fill rate)

Unique identifier for the post (99.98% fill rate)

Frequently Asked Questions

Common questions about How to Scrape Instagram Comments into n8n

Ready to connect Instagram data to n8n?

Start extracting instagram comments data and send to n8n in minutes.

Go to Instagram Comments scraperBrowse all integration guides
No code requiredAuto-delivery to n8n14 data fields