Automated TikTok Keyword Post Scraper with Bright Data & Google Sheets

Overview

This workflow automates the process of scraping TikTok posts based on user-provided keywords, leveraging Bright Data's Discover API and integrating results into Google Sheets for streamlined data management.

Key Features

• Accepts keyword input via a form trigger.
• Initiates a scraping job on Bright Data's Discover API using the provided keyword.
• Periodically checks the scraping status and retrieves the final results.
• Decodes and processes the API response for structured data extraction.
• Automatically logs the scraped TikTok post data into a designated Google Sheet.

Benefits

• Eliminates manual data collection from TikTok, saving significant time and effort.
• Ensures up-to-date, accurate data for marketing or analytics purposes.
• Seamlessly integrates with Google Sheets for easy access and collaboration.
• Reduces human error and increases workflow efficiency through automation.

Use Cases

• Social media trend analysis for marketing teams.
• Content research and competitor monitoring.
• Automated reporting and data aggregation for analytics.

Integrations & Automation

Key integrations include Google Sheets for data storage and Bright Data's API for scraping. The workflow uses HTTP requests, form triggers, and wait nodes to manage asynchronous scraping and data retrieval, providing a robust, end-to-end automation solution.