TikTok Unauthorized API Scraper

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TDQS

C2.4/5.0

Scored 2026-04-18 06:55 across 10 tools

Disambiguation3/5

The tools have overlapping purposes that could cause confusion, such as multiple tools for finding users (e.g., find_user_by_sec_user_id_fetch_profile_info_fetch_user_p, find_user_by_username_fetch_profile_info_fetch_user_post, and find_user_by_username_fetch_profile_info_fetch_user_post_2) with unclear distinctions. However, descriptions help differentiate some tools, like find_liked_posts_by_sec_user_id for liked posts versus find_post_by_link_or_aweme_id_fetch_cover_links_metrics_ for post data.

Naming Consistency2/5

Naming is inconsistent with mixed conventions: some tools use snake_case with verbs like 'find' or 'get' (e.g., find_user_by_username_fetch_profile_info_fetch_user_post), while others have overly verbose names that deviate from a clear pattern (e.g., build_request_to_find_post_by_link_or_aweme_id). There is no uniform verb_noun structure, making the set chaotic and hard to predict.

Tool Count5/5

With 10 tools, the count is well-scoped for a TikTok scraper, covering key areas like user lookup, post retrieval, trending content, and liked posts. Each tool appears to serve a distinct purpose in the domain, making the number appropriate without being excessive or insufficient.

Completeness4/5

The tool surface covers core scraping functionalities for TikTok, including user and post lookup, trending data, and liked posts, with minor gaps such as potential missing operations for comment retrieval or direct messaging. Agents can likely work around these gaps, as the set supports essential workflows for data extraction.