TikTok

TikTok Search Scraper

Scrapes TikTok search results for any keyword, returning video metadata, author info, engagement stats, and download URLs.

Run on Apify15 userson Apify, measured 2026-08-24

What it extracts

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

Field	Description	Type
`id`	Video ID	text
`description`	Description	text
`author.uniqueId`	Author	text
`stats.plays`	Plays	number
`stats.likes`	Likes	number
`url`	URL	link
`crawl_status`	Status	text

Input parameters

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

Parameter	Type	Required	Description
`searchQueries`	array	Required	List of keywords to search on TikTok. Each query will return matching video results.
`maxItems`	integer	Optional	Maximum number of videos to scrape per search query. Free users are limited to 1000 items per query. Subscribe to the Actor to unlock unlimited results.
`proxyConfiguration`	object	Optional	Proxy configuration for the scraper. TikTok requires residential proxies for reliable access.

API access

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

Inputjson

{
  "searchQueries": [
    "funny cats"
  ]
}

REST — run and get resultsbash

curl -X POST \
  "https://api.apify.com/v2/acts/logical_scrapers~tiktok-search-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries":["funny cats"]}'

JavaScript — apify-clientjavascript

import { ApifyClient } from 'apify-client'

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

const run = await client.actor('logical_scrapers~tiktok-search-scraper').call({
  "searchQueries": [
    "funny cats"
  ]
})

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-search-scraper").call(run_input={
    "searchQueries": [
        "funny cats",
    ],
})

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.