Overview
VidNavigator offers two ways to collect TikTok videos:Profile Scrape
Walk a single creator’s account and return their videos, filtered by date and likes.
Keyword Search
Search across TikTok by keyword and return matching videos from many creators.
task_id back immediately, then poll a GET endpoint until the task is completed. Results are retained for about 1 hour, and large result sets can be downloaded as a single JSON file via a temporary download_url.
These endpoints don’t have dedicated SDK helpers yet, so the examples below use raw HTTP (cURL, Python
requests, and fetch).Prerequisites
- A valid VidNavigator API key.
Billing
Both endpoints bill in the background worker, so usage is disclosed on the pollingGET (pass include_usage=true there), not at submit time.
See Usage & Costs for credit conversions.
Searching a TikTok Profile
1. Submit the scrape
Send a publicprofile_url and optional filters. max_posts and after_datetime let the scraper stop paginating early.
2. Poll until completed and page through results
PollGET /tiktok/profile/{task_id} while task_status is processing. Once completed, walk the pages using the next_cursor from data.pagination.
Searching TikTok by Keyword
1. Submit the search
Keyword search returns videos across many creators, sorted bypublished_at (newest first). Use parallel_search_slices (1–4) to lift the result ceiling, and after_datetime / before_datetime for time windows.
2. Poll, paginate, and read usage
The polling flow is identical to the profile scrape — just swap the path to/tiktok/search/{task_id} and read data.results instead of data.videos. Pass include_usage=true once the task is completed to see what was billed.

