How to Scrape TikTok Search Results by Keyword at Scale

Описание и применение

Автоматизированный процесс сбора данных о видео TikTok по ключевым словам позволяет маркетологам быстро получать структурированные метаданные без ручного скроллинга.

Задача

Manually collecting TikTok video data for trend monitoring and brand audits is slow and unscalable.

Результат

The workflow delivers structured TikTok search data at scale, enabling rapid trend analysis, influencer discovery, and local event tracking without manual effort.

Рабочий процесс

• 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.

Доказательства

The scraper extracts detailed engagement statistics, author profile snapshots, audio information, caption elements, technical video attributes, and location tags whenever available.

Источник

No TikTok account, login cookies, or custom proxies are required to run it.

Источник