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TikTok Data Extractor

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Techforce Global

TikTok Data Extractor

q9w5f5h8/tiktok-data-extractor

Extract comprehensive TikTok data with a single click profiles with detailed metrics (followers, engagement, verification status), video analytics (views, likes, comments, hashtags), and hashtag trending data. Built with anti-detection technology for reliable scraping.

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2,000 Free Results

You can access the Worker programmatically from your own applications using the CoreClaw API. Choose your preferred language from the options below. To get started with the CoreClaw API, you'll need a CoreClaw account and your API token — find it in the overview in your Console.

#!/usr/bin/env python3
import requests
import json
from typing import Dict, Any, Optional

# API URL
API_URL = "https://openapi.coreclaw.com/api/v1/scraper/run"

# Your API KEY
API_KEY = "<YOUR_API_KEY>"

# Curl timeout (seconds)
TIMEOUT = 30

def run_scraper(params: Dict[str, Any], api_key: str) -> Dict[str, Any]:
    headers = {
        "api-key": api_key,
        "Content-Type": "application/json"
    }

    try:
        # Send POST request
        response = requests.post(
            API_URL,
            headers=headers,
            json=params,
            timeout=TIMEOUT
        )

        # Check HTTP status code
        if response.status_code != 200:
            return {
                "success": False,
                "run_slug": None,
                "error": f"HTTP error: {response.status_code} - {response.text}"
            }

        # Parse response
        result = response.json()

        # Check business error code
        if result.get("code") != 0:
            return {
                "success": False,
                "run_slug": None,
                "error": f"Business error: {result.get("message", "Unknown error")} (code: {result.get("code")})"
            }

        # Return success result
        return {
            "success": True,
            "run_slug": result.get("data", {}).get("run_slug"),
            "error": None
        }

    except requests.exceptions.Timeout:
        return {
            "success": False,
            "run_slug": None,
            "error": f"Request timeout after {TIMEOUT} seconds"
        }
    except requests.exceptions.RequestException as e:
        return {
            "success": False,
            "run_slug": None,
            "error": f"Request error: {str(e)}"
        }
    except json.JSONDecodeError as e:
        return {
            "success": False,
            "run_slug": None,
            "error": f"JSON decode error: {str(e)}"
        }

def main():
    # Build request parameters
    request_params = {
        "scraper_slug": "01KG2DV66JTCN65ZBTRX3M456E",
        "version": "v1.0.8",
        "input": {
            "parameters": {
                "system": {
                    "proxy_region": "",
                    "cpus": 0.125,
                    "memory": 512,
                    "execute_limit_time_seconds": 1800,
                    "max_total_charge": 0,
                    "max_total_traffic": 0
                },
                "custom": {
          "queries": [
                    {
                              "string": "viral"
                    },
                    {
                              "string": "trending"
                    }
          ],
          "query_type": "hashtag",
          "resultsPerPage": 10,
          "maxProfilesPerQuery": 10,
          "profileScrapeSections": [
                    "videos"
          ],
          "profileSorting": "latest",
          "searchSection": "all",
          "excludePinnedPosts": false,
          "shouldDownloadVideos": false,
          "shouldDownloadSubtitles": false,
          "shouldDownloadAvatars": false,
          "shouldDownloadCovers": false,
          "shouldDownloadMusicCovers": false,
          "shouldDownloadSlideshowImages": false,
          "scrapeRelatedVideos": false,
          "proxyCountryCode": "None"
}
            }
        },
        "callback_url": "https://your-domain.com/callback"
    }

    # Send request
    print("Sending request to API...")
    result = run_scraper(request_params, API_KEY)

    # Handle result
    if result["success"]:
        print("Worker run successful!")
        print(f"Run ID: {result['run_slug']}")
        print("You can use this ID to query run status and results")
    else:
        print("Request failed!")
        print(f"Error message: {result['error']}")

if __name__ == "__main__":
    main()

Additional Resources

API Reference Documentation
Complete API documentation with all endpoints and parameters

Pricing

Failed results don't count

Rating

5.0

Developer

Techforce Global

Worker Stats

22 Total runs
Success rate: 100.00%
Last updated: Jun 17, 2026

Categories

Social mediaTikTok

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