Overview

Manually scraping detailed business data from Google Maps is slow and limited by pagination. This automation replicates user searches via SerpApi, cycles through up to 50 result pages, and extracts structured info like name, rating, and contacts. It saves hours and delivers comprehensive datasets ready for analysis or lead generation.

The Impact

  • Accelerate data collection. Automate bulk extraction across multiple pages without manual clicks.
  • Expand reach. Scrape up to 50 pages of results, vastly increasing data volume.
  • Ensure accuracy. Use precise parsing code to reliably extract business details and pagination info.
  • Simplify integration. Output data as structured JSON arrays ready for downstream use.

Who This Is For

  • Market Analysts gathering competitor insights within targeted regions.
  • Sales Teams generating qualified business leads by industry and location.
  • Data Researchers bulk-collecting geo-specific business data for studies.
  • Developers populating apps with comprehensive, location-based business info.

How It Works

1
  1. Start Search
  2. Input your query, geographic coordinates, and SerpApi key to initiate the Google Maps search via API.
2
  1. Initialize Pagination
  2. Set the starting point to zero to begin fetching results from the first page.
3
  1. Fetch and Parse Results
  2. Call SerpApi’s Google Maps endpoint and extract business info plus the 'next page' parameter using embedded Python code.
4
  1. Handle Pagination
  2. Automatically detect if more pages exist; update the start parameter to continue scraping or exit when done.
5
  1. Output Structured Data
  2. Aggregate all extracted business entries into a clean JSON array for immediate use.

What You'll Need

Before using this template, make sure you have:

  • A valid SerpApi API key with access to Google Maps search endpoints.
  • Geographical coordinates specifying the search center and zoom level in the format @latitude,longitude,zoom_levelz.
  • A clear search query defining the business type or name you want to scrape.

How to Use

  1. Step 1. Enter Search Query
  2. Input the business type or specific name you want to find (e.g., restaurants, coffee shops).

  3. Step 2. Provide Location Coordinates
  4. Copy the coordinates segment starting with '@' from Google Maps URL to set your search area.

  5. Step 3. Insert SerpApi Key
  6. Paste your private SerpApi API key from your dashboard.

  7. Step 4. Run the Workflow
  8. Start the automation to begin fetching and parsing search results across multiple pages.

  9. Step 5. Verify Results
  10. Check the output JSON array to ensure all desired business data has been collected accurately.

FAQs

How does the scraper handle multiple pages of results?
It uses Python code to extract the 'start' parameter for the next page from SerpApi's response and loops until no more pages remain or 50 pages are reached.
What business details does this workflow extract?
It extracts name, rating, number of reviews, address, phone number, website, business type, and price range from each listed business.
What format does the output data have?
The output is a structured JSON array containing all scraped business entries, ready for direct use or further processing.
Can I use this workflow for any location?
Yes, simply provide the correct geographical coordinates and zoom level for your target area in the specified format.
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