With Google Maps Search—part of the world’s leading location-based search and mapping platform—booming, are you wasting countless hours manually collecting location data such as business names, addresses, contact info, ratings, opening hours, and user reviews? Faced with its massive repository of place content, spanning millions of locations, paginated results and multi-dimensional business details, efficiently acquiring structured location data to expand market reach for brands or streamline research for analysts has become a common challenge for local businesses, marketers, market researchers, and business development teams. Say goodbye to tedious manual copy-and-paste and page-by-page recording of place details. BrowserAct will revolutionize the way you access Google Maps location data.

What is BrowserAct Data Scraper ?

BrowserAct is a powerful automated data extraction tool that lets you easily scrape required data from any web page without programming knowledge. It can efficiently capture key location data from Google Maps Search, including business names, addresses, contact info, ratings, and opening hours. What can it do for you?

• Google Maps Search Scraping: Our Google Maps crawler intelligently extracts core location data. This includes business names (e.g., “Green Café,” “Tech Repair Hub”), addresses, phone numbers, ratings (e.g., 4.2 stars, 4.8 stars), opening hours (e.g., 9 AM–6 PM, 24/7), and user reviews. It covers all critical info to track local business dynamics.
• AI-Powered Field Suggestions: Using AI to identify Google Maps page structures (search results pages, business detail pages), it quickly suggests key fields like "business name, address, contact info, rating, opening hours". No manual positioning—direct structured data for analysis.
• Ideal Users: Suitable for local businesses, marketers, market researchers, and business development teams. It provides structured location data to drive decisions—like expanding market reach and optimizing site selection—or meet needs such as analyzing competitors, compiling local business lists and tracking customer feedback.

Features and Workflow Capabilities

• Input Parameters for Effective Conecte Imóvel Scraping. Detailed explanation of required input parameters, presented in a table for clarity:

Step 1: Create Workflow and Set Input Parameters

• Click the "Workflow" button in the left sidebar, then "Create" to name your workflow (e.g., "Financial Data Automation").
• Define customizable inputs for flexibility:

GoogleMap_Search
Location
Bussines_Category
Extracted_Data

Step 2: Add Navigation and Search Actions 📍

• Click the "+" icon to add actions. Start with "Visit Page" and enter "Visit /url" to direct the workflow to the specified URL, such as https://www.google.com/maps/search/. BrowserAct's AI will automatically understand the page structure, powering your Forbes web scraper without hassle.

Step 3: Add "Extract Data" Action 📊

• Click "+" and select "Extract Data." In the description box, specify what to extract and set limits, such as:

• • extract service providers - add title to "Name" - add phone number to "Phone" if there is no phone available add NoPhone - add rating to "Rating" - add address to "Address" - add service provider link to "Url" if the provider has no site add the link to provider google map page in "Url" - add last review summary to "LastSummary" if there is no review add NoReview - add business category to "Category"

• The AI will interpret your request and precisely scrape Rightmove houses list—no CSS selectors, no XPath, no coding required. This makes BrowserAct a seamless job scraper for scraping jobs from the internet.

Step 4: Add Output, Publish, and Run 📈

• Click "+" and select "Finish: Output Data." Choose CSV as the output format and enable "Output as a file" for easy downloading.

• Click "Publish" to save and finalize your Forbes scraper.

• Navigate to the "Run" section. Adjust parameters if Forbes (or use defaults), then click "Start" to execute the scrape.

Step 5: Download the Results

• Before downloading, you can preview the scraped results to see if they meet your expectations.