Google Search Results (SERPs) Scraping and Ranking Analysis Workflow
This workflow is designed to automate the scraping and analysis of Google search results, supporting batch processing of up to 5,000 keywords. Users can easily connect their own keyword database, automatically filter valid organic search results, and assign rankings, thereby enhancing data organization efficiency. The output results are customizable and suitable for SEO analysis, competitor research, and content optimization decisions, significantly reducing manual data collection time and helping users quickly obtain structured search ranking information.
Workflow Name
Google Search Results (SERPs) Scraping and Ranking Analysis Workflow
Key Features and Highlights
- Automatically scrape Google Search Engine Results Pages (SERPs) data using the ScrapingRobot API
- Supports batch processing of up to 5,000 keyword search queries
- Automatically splits and filters useful organic search results, excluding entries with empty titles
- Assigns ranking positions to each search result for easy subsequent analysis
- Seamlessly integrates with user-owned keyword databases and outputs results to custom data sources (e.g., Airtable)
- Visual configuration with user-friendly operation, supporting custom keyword lists and API authentication settings
Core Problems Addressed
- Resolves inefficiencies and data fragmentation in manual keyword ranking checks during SEO research
- Automates acquisition and organization of Google search results, saving significant manual data collection and processing time
- Provides structured search ranking data to support SEO optimization, competitor analysis, and ranking monitoring
Application Scenarios
- SEO analysts regularly tracking website keyword rankings and competitor performance
- Digital marketing teams quickly obtaining search result data for target keywords
- Website operators monitoring changes in search engine results pages to assist content optimization decisions
- Data analysts consolidating search ranking data for trend analysis and report generation
Main Workflow Steps
- Manually trigger the workflow start
- Connect to user-owned keyword database or use a predefined keyword array
- Split keywords and send individual requests to the ScrapingRobot API to scrape corresponding Google search results
- Parse API responses to extract organic ranking data and related information
- Filter out invalid data, ensuring title fields are not empty
- Assign ranking positions to each organic search result
- Output the processed data to the user-specified database or data source
Involved Systems or Services
- ScrapingRobot API (Google search results scraping)
- User-defined databases (supporting Airtable, etc.)
- Core n8n automation platform nodes (HTTP requests, data splitting, filtering, code processing, etc.)
Target Users and Value
- SEO experts and digital marketers seeking automated access to high-quality search ranking data
- Content operators and website administrators needing regular keyword performance monitoring to optimize content strategies
- Data analysts and business decision-makers relying on accurate search engine data for market research
- Automation enthusiasts and developers looking for simple integration solutions to scrape and process search data via third-party APIs
This workflow significantly enhances the efficiency and accuracy of SEO data collection by automating the scraping and processing of Google search results. It enables users to quickly obtain structured keyword ranking information with multiple customizable configurations, making it suitable for a wide range of SEO optimization and digital marketing applications.