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TikTok Scraper With Advanced Filters

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TikTok Scraper With Advanced Filters extracts TikTok videos and profiles using filters like keywords, hashtags, language, region, engagement, date, and more. Get captions, views, likes, comments, shares, creator data, and timestamps for research and analysis.

Pricing

from $5.99 / 1,000 results

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(0)

Developer

Scrapier

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

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Categories

Automation

Videos

Social media

You can access the TikTok Scraper With Advanced Filters programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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          "startUrls": {
            "title": "👤 TikTok Profile URLs or Usernames",
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            "items": {
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          "profileScrapeSections": {
            "title": "📹 Profile Scrape Sections",
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            "description": "🎯 Choose which sections to scrape from profiles: 📺 'videos' (all profile videos) and/or 🔄 'repost' (reposted content). Select one or both!",
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          "searchQuery": {
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            "default": ""
          },
          "searchType": {
            "title": "🏷️ Search Type",
            "enum": [
              "keyword",
              "hashtag"
            ],
            "type": "string",
            "description": "📌 Choose search type: 🔑 'keyword' (general TikTok search) or #️⃣ 'hashtag' (hashtag-specific search). Default: keyword",
            "default": "keyword"
          },
          "maxResults": {
            "title": "📊 Maximum Results",
            "minimum": 1,
            "maximum": 1000,
            "type": "integer",
            "description": "🎯 Maximum number of results to collect per profile/search query, BEFORE the filters below are applied. Range: 1-1000. Higher values = more data but longer scraping time. ⏱️",
            "default": 100
          },
          "minEngagement": {
            "title": "👍 Minimum Likes",
            "minimum": 0,
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          "excludeKeywords": {
            "title": "🚫 Exclude Keywords",
            "type": "array",
            "description": "🧹 Drop any row whose caption/description text contains any of these words or phrases (case-insensitive). Example: [\"giveaway\", \"ad\"] removes captions mentioning either term. Default is empty (no filtering).",
            "default": [],
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          "oldestDate": {
            "title": "📅 Oldest Date",
            "type": "string",
            "description": "🗓️ Drop any row posted before this date. Accepts an absolute date (e.g. 2025-01-01) or a relative value (e.g. 30 days). Leave empty for no date filtering.",
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TikTok Scraper With Advanced Filters OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for TikTok Scraper With Advanced Filters from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

TikTok Scraper With Advanced Filters API in Python

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