ManualTrigger Automate

Target Audience

• Business Owners: Looking to automate data collection from Google Maps to enhance their marketing strategies.
• Digital Marketers: Who need to gather location-based data for targeted campaigns.
• Researchers: In need of comprehensive data for analysis on local businesses and services.
• Developers: Seeking to integrate Google Maps data into their applications without heavy API costs.
• Data Analysts: Who require organized data in Google Sheets for further analysis and reporting.

Problem Solved

This workflow addresses the challenge of efficiently scraping and organizing data from Google Maps using SerpAPI. It eliminates the need for manual data entry, reduces the risk of errors, and saves time by automating the entire process. Users can gather important business information such as phone numbers, websites, ratings, reviews, and addresses without incurring high costs associated with Google Maps API.

Workflow Steps

1. Trigger: The workflow begins when the user clicks the "Execute Workflow" button or is scheduled to run every hour.
2. Data Retrieval: It fetches search queries from a Google Sheet, looking for URLs with a specific status.
3. URL Parsing: Extracts keywords and geographical locations from the URLs.
4. API Request: Sends requests to SerpAPI to scrape Google Maps data based on the keywords and locations.
5. Data Aggregation: Combines all responses from SerpAPI into a single dataset.
6. Data Transformation: Transforms the data into a structured format suitable for Google Sheets.
7. Remove Duplicates: Ensures that there are no duplicate entries based on the place_id.
8. Data Insertion: Appends or updates the data in the specified Google Sheet, providing a clear view of the gathered information.
9. Status Update: Updates the status of the processed search URLs to indicate success or failure, allowing users to track their progress.