How to Scrape TikTok Search Results by Keyword at Scale
Description and use
An automated workflow for scraping TikTok search results by keyword provides structured video metadata at scale, eliminating manual data collection.
Problem
Manually collecting TikTok video data for trend monitoring and brand audits is slow and unscalable.
Outcome
The workflow delivers structured TikTok search data at scale, enabling rapid trend analysis, influencer discovery, and local event tracking without manual effort.
Workflow
- Define search terms in the actor’s input schema (e.g., queries: ['nike running', 'adidas shoes']).
- Set maxResultsPerQuery (1–500) to limit returned results per query.
- Run the actor via the Apify Console or API; it accesses TikTok’s public search API anonymously.
- Download the extracted records in JSON, CSV, or Excel for downstream analysis.
Evidence
The scraper extracts detailed engagement statistics, author profile snapshots, audio information, caption elements, technical video attributes, and location tags whenever available.
No TikTok account, login cookies, or custom proxies are required to run it.
- Record date: 2026-09-06T22:06:58.620Z