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Home/Integrations/How to Scrape Instagram Comments into Webhooks
InstagramWebhooks

How to Scrape Instagram Comments into Webhooks

Extract comments data from Instagram and deliver via Webhooks 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 Webhooks connection

Add your endpoint URL in the Scrapernode webhook settings. Each completed job sends a POST request with the full JSON payload, including all output fields and metadata.

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 Webhooks

When the job completes, Scrapernode delivers the full JSON payload to your endpoint. Each record includes 14 structured fields like url, comment_user, comment_user_url, comment_date. Parse the payload in your application and process the data as needed.

Cost per record

1 credit

Output fields

14 fields

Destination

Webhooks

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 Webhooks

Ready to connect Instagram data to Webhooks?

Start extracting instagram comments data and deliver via Webhooks in minutes.

Go to Instagram Comments scraperBrowse all integration guides
No code requiredAuto-delivery to Webhooks14 data fields