The TikTok Influencer Scraper leverages n8n and Bright Data to streamline the collection of detailed TikTok influencer profile data. It enables users to submit TikTok profile URLs through a simple web form, triggers Bright Data’s scraping API, and stores the extracted insights in a structured Google Sheets document. Ideal for marketing teams, influencer managers, or analysts, this workflow simplifies data collection and ensures accuracy for research, planning, and competitive benchmarking.
Step-by-Step Process:
- Form-Based Input Collection
Users submit TikTok profile URLs through a custom web form built into n8n. The form captures input fields such as the profile link and optional country targeting, enabling tailored data collection per request. - Scraping Job Initialization
Submitted URLs are passed to Bright Data’s TikTok dataset API, where a scraping job is initialized. Configurable fields such as region, desired metrics, and custom parameters ensure precision in data extraction. - Intelligent Status Polling
The workflow periodically polls the Bright Data API every 30 seconds to check scraping job completion. If the data isn't ready, the system waits and retries automatically until results are returned or a timeout occurs. - Data Retrieval and Transformation
Once available, the profile data is fetched and parsed into structured fields, including profile metadata, engagement rates, follower statistics, top content, and bio links. - Google Sheets Storage
The retrieved data is saved to a pre-configured Google Sheets document. Each profile is logged with a full set of KPIs, including processing status and any error messages for traceability. - Status Reporting and Monitoring
The system updates a status column and message field in the Google Sheet to indicate completion or failure. Users can monitor scraping progress in real time via n8n’s execution log or the Bright Data dashboard. - Answer Synthesis
The AI agent collects responses from the experts and composes a final, cohesive answer.