TikTok

Scrape comments from TikTok videos

Scrape comments from TikTok videos with provided URL.

Run on Apify131 userson Apify, measured 2026-08-24

What it extracts

Every field below comes from the Actor’s published dataset schema.

Field	Description	Type
`text`	Comment Text	text
`nickname`	User Nickname	text
`unique_id`	User ID	text
`digg_count`	Likes	number
`reply_comment_total`	Total Replies	number
`replies_scraped`	Replies Scraped	number
`create_time`	Created At	date
`comment_language`	Language	text
`author_pin`	Author Pinned	boolean
`cid`	Comment ID	text
`aweme_id`	Video ID	text
`replies`	Replies	array

Input parameters

Generated from the Actor’s input schema — the same fields the Apify console shows.

Parameter	Type	Required	Description
`urls`	array	Required	List of TikTok video URLs to scrape comments from
`max_comments`	integer	Optional	Maximum number of comments to scrape per video (default: 50)
`include_replies`	boolean	Optional	Whether to scrape replies for each comment (default: true)
`max_replies_per_comment`	integer	Optional	Maximum number of replies to scrape per comment (default: 10)

API access

Run this Actor from your own code over the Apify API.

Inputjson

{
  "urls": [
    "https://www.tiktok.com/@cleafmiel/video/7606624566395292950"
  ]
}

REST — run and get resultsbash

curl -X POST \
  "https://api.apify.com/v2/acts/logical_scrapers~tiktok-comments-api/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"urls":["https://www.tiktok.com/@cleafmiel/video/7606624566395292950"]}'

JavaScript — apify-clientjavascript

import { ApifyClient } from 'apify-client'

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' })

const run = await client.actor('logical_scrapers~tiktok-comments-api').call({
  "urls": [
    "https://www.tiktok.com/@cleafmiel/video/7606624566395292950"
  ]
})

const { items } = await client.dataset(run.defaultDatasetId).listItems()
console.log(items)

Python — apify-clientpython

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("logical_scrapers~tiktok-comments-api").call(run_input={
    "urls": [
        "https://www.tiktok.com/@cleafmiel/video/7606624566395292950",
    ],
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Runs are executed on Apify. Create an API token in your Apify account, then call the Actor over REST or with the official client for your language. The same input object works in the Apify console, so you can test interactively before automating.

Pricing

Data not currently verified. This Actor's pricing model is not declared in our source repository.

Current rates are published on the Apify listing and can change, so they are not duplicated here. See pricing on Apify

Reliability

99.4% run success rate

Measured across all public Goldmine Actors on Apify, 2026-08-24. This is an account-level figure, not a per-Actor benchmark — per-Actor speed and completeness benchmarks are not yet published. Source.