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

How to Scrape Instagram Comments

Extract comments data from Instagram at scale

Step-by-step guide

1

Choose your Instagram comments scraper

Navigate to the Instagram 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 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 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 14 structured fields like url, comment_user, comment_user_url, comment_date, 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

14 fields

Output formats

JSON, CSV

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

Ready to scrape Instagram?

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

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