How to Extract Restaurant Data from Google Maps with Airtop

Gathering detailed, reliable information on restaurants from Google Maps is often challenging due to manual processes, inconsistent data structures, frequent updates, and strict scraping limitations. Traditional manual data gathering can waste developer time, lead to inaccurate data collection, and lack scalability.

Airtop Studio provides a robust automation designed specifically for developers and technical teams. Utilizing real browser sessions, it smoothly navigates Google Maps, securely handles login sessions supporting OAuth, 2FA, and Captcha, and delivers consistent, structured output in JSON format. Development teams can quickly automate extracting accurate, updated restaurant details without manual intervention or unreliable web scraping scripts.

Who is this Automation for?

• Developers building location-based apps

• Automation engineers supporting marketing or research data collection teams

• Data analysts conducting restaurant trend analysis

• Technical product teams integrating restaurant data into their platforms

Key Benefits

• Real browser sessions for accurate data retrieval

• Structured JSON outputs for reliable integration

• Support for OAuth, 2FA, and Captcha to guarantee authenticated access

• No-code setup for immediate productivity in Airtop Studio

Use Cases

• Populating a restaurant discovery app with current location and contact details

• Automating competitor analysis by regularly extracting menu data and restaurant ratings

• Market research on restaurant industry trends by capturing structured Google Maps listings

• Monitoring restaurant openings and closures for investment or regional economic analysis

Getting Started with the Extract Restaurant Data from Google Maps Automation

Easily automate your restaurant data extraction from Google Maps using Airtop Studio, with no setup headaches.

How the Extract Restaurant Data from Google Maps Automation Works

This Airtop Studio automation initiates a secure, authenticated real-browser session to Google Maps. Once logged in securely (with Captcha, OAuth, or 2FA handled seamlessly), it navigates to specified search results or restaurant pages. The automation then systematically extracts structured data, including names, ratings, reviews, addresses, phone numbers, opening hours, and additional attributes. Data is cleanly delivered in JSON for easy integration into apps, analytics workflows, or databases.

What You'll Need

• Airtop Studio account (available free)

• Google account (if extracting authenticated data or requiring login)

• Target search keywords or Google Maps URLs

Setting Up the Automation

1. Open Airtop Studio and navigate to the "Extract Restaurant Data from Google Maps" automation.

2. Start a new session by clicking "Start."

3. Once the page loads, run the automation and review the structured JSON results.

Customize the Automation

Airtop Studio enables technical users to adjust all aspects of the automation. Examples of customizations include:

• Modifying extraction parameters to focus on specific restaurant attributes, such as user ratings or menus

• Automating periodic updates for consistent monitoring of restaurant details and business changes

• Integrating extracted data automatically with external APIs or third-party services through Airtop's supported code type

• Creating dynamic filtering to narrow data extraction to specific geographical regions or restaurant chains

Automation Best Practices

• Clearly define data extraction parameters to optimize JSON outputs.

• Schedule routine automated extractions to maintain up-to-date datasets.

• Regularly verify sessions to ensure continuous compliance with Google's terms of service.

• Use structured JSON data for seamless integration into your existing tools and systems.