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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 TikTok Comments into Make
TikTokMake

How to Scrape TikTok Comments into Make

Extract comments data from TikTok and pipe into Make automatically

Step-by-step guide

1

Choose the TikTok Comments scraper

Navigate to the TikTok 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 Make connection

Create a new Make scenario with a Webhook trigger module. Copy the webhook URL into Scrapernode's webhook settings. Use Make's built-in JSON parser to map scraper fields to downstream modules like "Create Spreadsheet Row" or "Send Email".

3

Provide your TikTok input URLs

Paste the TikTok 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 Make

When the job completes, Scrapernode sends the full results to your Make workflow. Each record includes 14 fields like url, post_url, post_id, post_date_created. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

1 credit

Output fields

14 fields

Destination

Make

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5
Url
sample_url
Post Url
sample_post_url
Post Id
sample_post_id
Post Date Created
sample_post_date_created
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
Commenter User Name
@techfan_99
Commenter Id
sample_commenter_id
Commenter Url
sample_commenter_url
Comment Id
sample_comment_id
Comment Url
sample_comment_url
Replies
37

Data Dictionary

14 fields returned per record

URL of the TikTok video (100.00% fill rate)

Post web address (100.00% fill rate)

Unique post identifier (100.00% fill rate)

Date of post creation (95.73% fill rate)

Comment creation date (100.00% fill rate)

Comment content (99.38% fill rate)

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

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

Commenter's username (99.93% fill rate)

Commenter's unique identifier (100.00% fill rate)

Commenter's profile URL (100.00% fill rate)

The unique ID for the comment (55.19% fill rate)

The URL for the comment (55.19% fill rate)

Replies to the comment (0.00% fill rate)

Sub-fields

textTextReply text
usernameTextReply author username
likesNumberReply likes count
timestampTextReply timestamp

Frequently Asked Questions

Common questions about How to Scrape TikTok Comments into Make

Ready to connect TikTok data to Make?

Start extracting tiktok comments data and pipe into Make in minutes.

Go to TikTok Comments scraperBrowse all integration guides
No code requiredAuto-delivery to Make14 data fields