Introduction
Google Maps is an invaluable resource for finding businesses, restaurants, landmarks, and other points of interest. However, one major limitation is its restriction to 120 results per search. For anyone conducting market research, lead generation, or competitor analysis, this limitation can be frustrating.
The Google Maps Data Scraper is a powerful, fully automated tool designed to bypass these restrictions. It allows you to extract detailed business data with ease, enabling you to access comprehensive insights for any search query.
This article will guide you step-by-step on how to use the Google Maps Data Scraper to collect business listings effectively.
What Is Google Maps Data Scraper?
The Google Maps Data Scraper is a versatile scraping tool that helps you gather extensive data from Google Maps. With features that enable customization and scalability, this scraper can collect detailed information on businesses from any location worldwide.
👉 Try the Google Maps Data Scraper now on Apify!
Key Features:
- Bypass Limitations: Scrape beyond the 120 results Google Maps typically allows.
- Customizable Searches: Input specific keywords, locations, and filters to get tailored results.
- Comprehensive Data: Extract ratings, reviews, addresses, contact details, operating hours, and much more.
- Scalability: Designed to handle small-scale and large-scale data scraping efficiently.
Why Use Google Maps Data Scraper?
Here’s how this tool can be a game-changer for your projects:
- Market Research: Analyze competitors and understand market dynamics by studying business trends.
- Lead Generation: Build targeted lists of potential customers or partners.
- Business Intelligence: Make data-driven decisions using detailed information on businesses in your target market.
- Competitive Analysis: Keep tabs on competitors’ ratings, reviews, and customer feedback.
Getting Started: Step-by-Step Guide
Step 1: Define Your Search Criteria
Start by specifying the data you want to scrape. The scraper allows inputs such as:
- Search Keywords: For example, "cafes near Tokyo."
- Google Maps Links: Input specific URLs to target particular locations or businesses.
- Location Filters: Narrow down your results by cities, regions, or even coordinates.
Step 2: Customize the Settings
The tool is highly customizable to fit your specific requirements:
- Language Settings: Choose the preferred language for your data.
- Search Limitations: Specify the number of pages or results you want to scrape.
- Output Fields: Select which fields to include in the output (e.g., phone numbers, reviews, pricing).
Step 3: Run the Scraper
Once your settings are configured, execute the scraper. It will process the search query and generate the data in your preferred format, such as CSV or JSON.
Step 4: Review and Export the Data
After the scraping is complete, review the collected data to ensure accuracy. Export it for further analysis or integration into your projects.
Example Output
Here’s an example of the structured data you can expect from the scraper:
{
"search_string": "cooffe",
"title": "Grace Street Coffee & Desserts",
"category": "restaurants",
"rating": 4.5,
"review_count": 3133,
"reviews_count_score": {
"1_star": 62,
"2_star": 67,
"3_star": 190,
"4_star": 719,
"5_star": 2095
},
"price_range": "$10–20",
"price_range_votes": 208,
"price_breakdown": {
"$1–10": "15%",
"$10–20": "65%",
"$20–30": "16%"
},
"full_address": "Grace Street Coffee & Desserts, 17 W 32nd St, New York, NY 10001",
"neighborhood": "Manhattan",
"street_address": "17 W 32nd St",
"city": "New York",
"zipcode": "10001",
"state": "New York",
"country": "US",
"latitude": 40.7477172,
"longitude": -73.9865302,
"phone": "(917) 540-2776",
"website": "https://www.bygracestreet.com/",
"plus_code_url": "https://plus.codes/P2X7+39 New York",
"plus_code": "P2X7+39 New York",
"url": "https://www.google.com/maps/place/Grace+Street+Coffee+&+Desserts/data=!4m5!3m4!1s0x89c259a8e1682bf5:0xea388e8841a2955e!8m2!3d40.7477172!4d-73.9865302?authuser=0&hl=en&rclk=1",
"google_id": "0x89c259a8e1682bf5:0xea388e8841a2955e",
"place_id": "ChIJ9Sto4ahZwokRXpWiQYiOOOo",
"business_attributes": [
"Identifies as women-owned",
"Identifies as Asian-owned"
],
"description": "Contemporary coffeehouse offering Asian donuts, waffles, matcha lattes, teas, and espresso drinks.",
"about": {
"from_the_business": [
"Identifies as Asian-owned",
"Identifies as women-owned"
],
"service_options": [
"Has no-contact delivery",
"Offers delivery",
"Onsite services available",
"Offers takeout",
"Serves dine-in"
],
"highlights": [
"Serves great coffee",
"Serves great dessert",
"Has great tea selection"
],
"popular_for": [
"Good for solo dining"
],
"accessibility": [
"No wheelchair accessible entrance",
"No wheelchair accessible parking lot",
"No wheelchair accessible seating"
],
"offerings": [
"Serves coffee",
"Serves comfort food",
"Quick bite",
"Serves small plates"
],
"dining_options": [
"Serves breakfast",
"Serves lunch",
"Serves dessert"
],
"amenities": [
"Has restroom"
],
"atmosphere": [
"Casual",
"Cozy",
"Trendy"
],
"crowd": [
"Popular with college students",
"Good for groups",
"Popular with tourists"
],
"planning": [
"Usually has a wait",
"Doesn't accept reservations"
],
"payments": [
"Accepts credit cards",
"Accepts debit cards",
"Accepts NFC mobile payments"
],
"children": [
"Good for kids"
],
"parking": [
"Paid street parking",
"Difficult to find a space"
]
},
"photos_count": 5667,
"iamges": [
"https://lh5.googleusercontent.com/p/AF1QipMUDpCf0I_LLPKpBR1IPFf5Xj_HSH_OS8D6dYGH",
"https://lh5.googleusercontent.com/p/AF1QipOuUMT90SE_XkIHZ-52PHgn7GgQ6_FklDMWDdGd",
"https://lh5.googleusercontent.com/p/AF1QipM01AY8l9MpGXo3YpPOrtIhVqsBeQmhoX5KhBXn",
"https://lh5.googleusercontent.com/p/AF1QipMSNledH0KCR4vbSoSw_ODuZBc34TkQ5EiVB1jz",
"https://lh5.googleusercontent.com/p/AF1QipNfeA5ogQperUUVNkFlTZ8wyincIFUML9-mrvAW",
"https://lh5.googleusercontent.com/p/AF1QipMOkFAVpCkNnJ4Qvg4BxRxjafl_Dm8VY_z1erE3",
"https://lh5.googleusercontent.com/p/AF1QipOM-eCz1dyJL1ehFjr_Z33C1BKB9van9T1FKqS4",
"https://lh5.googleusercontent.com/p/AF1QipM2c0P2QDWDHf_Wt5Wc8a7qKCR7GbDySk_jKA1J",
"https://lh5.googleusercontent.com/p/http://t2.gstatic.com/images?q=tbn:ANd9GcQNqnqG2MrnLA0Bx32qGHfrAEATzK-ETi34buJn_SzG2pxtEtu1",
"https://lh5.googleusercontent.com/p/AF1QipPcc7cg45CnPTu50qbGbmInuS43UOaG5Xqvytn2",
"https://lh5.googleusercontent.com/p/AF1QipO-GwQXeu6NsgVRB94-VY3q8H_eEaiV-nqbJ4g1",
"https://lh5.googleusercontent.com/p/http://t2.gstatic.com/images?q=tbn:ANd9GcTlTSIvjdkqPkPXSvthywfxOS7tGFNvCXtgnHF5FOMP5M-35V3q",
"https://lh5.googleusercontent.com/p/AF1QipNsY6R0PfOr927I8dAe42fhxoZF0tObbu2-yW8t",
"https://lh5.googleusercontent.com/p/AF1QipOEDDR2TmGu9cqbWzOxrTcG--GeEz74TXhbFwlN",
"https://lh5.googleusercontent.com/p/AF1QipOD1ao2qWMeInkbZw8pg7wj5iIET9yQkuNB6fs6",
"https://lh5.googleusercontent.com/p/http://t0.gstatic.com/images?q=tbn:ANd9GcQ1SrQCTUX32mxwoX29YiIF8jgAUKBDaJsozjzhLKRdxxdQ7pFY",
"https://lh5.googleusercontent.com/p/http://t3.gstatic.com/images?q=tbn:ANd9GcTUxHqh88DlCpXQiimUhEoCcMRIkyyPkmp-xdfN9joC-n7i2ktx",
"https://lh5.googleusercontent.com/p/AF1QipNsYkFmbRO7D0pmEy4SrIzhw1qXSCtmWzyWg3z6",
"https://lh5.googleusercontent.com/p/AF1QipPL5d84QwDTiALpPVmtrfVk5y2-IhvGMTpFIdgX",
"https://lh5.googleusercontent.com/p/AF1QipNYZnPONipRpCPAFYr1DGpZ7JEcfNeyXQ0yH3A"
],
"review_summary": [
"Good selection of dessert foods and drinks like the shaved green tea.",
"Good dessert breakfast type foods, and plenty of tables to sit down and eat",
"Relaxing coffee shop without all the nimby hipsters wasting space with laptops."
],
"review_tags": {
"shaved ice": 332,
"beignets": 119,
"burnt cheesecake": 62,
"hotteok": 51,
"vietnamese coffee": 31,
"mochi waffle": 29,
"petal": 28,
"buzzer": 19,
"cookie monster": 15,
"churro waffles": 14
},
"people_also_search_for": [
{
"Grace Cafe": {
"rating": 4.2,
"rating_counts": 254,
"url": "https://www.google.com/maps/place/Grace+Cafe/data=!4m5!3m4!1s0x0:0x29191ace0d48f33d!8m2!3d40.7547791!4d-73.991365?authuser=0&hl=en&rclk=1"
}
},
{
"Prince Tea House Ktown | Dessert Spot at Fifth Ave": {
"rating": 4.5,
"rating_counts": 239,
"url": "https://www.google.com/maps/place/Prince+Tea+House+Ktown+|+Dessert+Spot+at+Fifth+Ave/data=!4m5!3m4!1s0x0:0x6af3977b63d75459!8m2!3d40.7474797!4d-73.9854969?authuser=0&hl=en&rclk=1"
}
},
{
"Little Grace Bakery": {
"rating": 4.5,
"rating_counts": 64,
"url": "https://www.google.com/maps/place/Little+Grace+Bakery/data=!4m5!3m4!1s0x0:0xa653d6d4a1b5d28a!8m2!3d40.747819!4d-73.9865153?authuser=0&hl=en&rclk=1"
}
},
{
"COFFEED": {
"rating": 4.1,
"rating_counts": 29,
"url": "https://www.google.com/maps/place/COFFEED/data=!4m5!3m4!1s0x0:0xaaab928bbc20b16c!8m2!3d40.747734799999996!4d-73.9861939?authuser=0&hl=en&rclk=1"
}
},
{
"Gregorys Coffee": {
"rating": 4.2,
"rating_counts": 451,
"url": "https://www.google.com/maps/place/Gregorys+Coffee/data=!4m5!3m4!1s0x0:0x8494db20a69513b0!8m2!3d40.746489200000006!4d-73.982579?authuser=0&hl=en&rclk=1"
}
}
],
"current_status": "Closed ⋅ Opens 11 AM",
"open_time": [
{
"Thursday": "11 AM–11:30 PM 2024-12-26"
},
{
"Friday": "11 AM–12 AM 2024-12-27"
},
{
"Saturday": "11 AM–12 AM 2024-12-28"
},
{
"Sunday": "11 AM–11 PM 2024-12-29"
},
{
"Monday": "11 AM–11 PM 2024-12-30"
},
{
"Tuesday": "11 AM–10 PM 2024-12-31"
},
{
"Wednesday": "11 AM–11 PM 2025-01-01"
}
],
"popular_times_monday": {
"6 AM": "0% busy",
"7 AM": "0% busy",
"8 AM": "0% busy",
"9 AM": "0% busy",
"10 AM": "0% busy",
"11 AM": "17% busy",
"12 PM": "20% busy",
"1 PM": "21% busy",
"2 PM": "26% busy",
"3 PM": "27% busy",
"4 PM": "30% busy",
"5 PM": "30% busy",
"6 PM": "39% busy",
"7 PM": "44% busy",
"8 PM": "49% busy",
"9 PM": "47% busy",
"10 PM": "40% busy",
"11 PM": "0% busy"
},
"popular_times_tuesday": {
"6 AM": "0% busy",
"7 AM": "0% busy",
"8 AM": "0% busy",
"9 AM": "0% busy",
"10 AM": "0% busy",
"11 AM": "15% busy",
"12 PM": "23% busy",
"1 PM": "24% busy",
"2 PM": "28% busy",
"3 PM": "31% busy",
"4 PM": "34% busy",
"5 PM": "38% busy",
"6 PM": "41% busy",
"7 PM": "49% busy",
"8 PM": "56% busy",
"9 PM": "58% busy",
"10 PM": "0% busy",
"11 PM": "0% busy"
},
"popular_times_wednesday": {
"6 AM": "0% busy",
"7 AM": "0% busy",
"8 AM": "0% busy",
"9 AM": "0% busy",
"10 AM": "0% busy",
"11 AM": "19% busy",
"12 PM": "24% busy",
"1 PM": "25% busy",
"2 PM": "24% busy",
"3 PM": "29% busy",
"4 PM": "34% busy",
"5 PM": "42% busy",
"6 PM": "52% busy",
"7 PM": "59% busy",
"8 PM": "61% busy",
"9 PM": "52% busy",
"10 PM": "38% busy",
"11 PM": "0% busy"
},
"popular_times_thursday": {
"6 AM": "0% busy",
"7 AM": "0% busy",
"8 AM": "0% busy",
"9 AM": "0% busy",
"10 AM": "0% busy",
"11 AM": "17% busy",
"12 PM": "23% busy",
"1 PM": "28% busy",
"2 PM": "30% busy",
"3 PM": "31% busy",
"4 PM": "33% busy",
"5 PM": "41% busy",
"6 PM": "49% busy",
"7 PM": "60% busy",
"8 PM": "68% busy",
"9 PM": "69% busy",
"10 PM": "57% busy",
"11 PM": "35% busy"
},
"popular_times_friday": {
"6 AM": "0% busy",
"7 AM": "0% busy",
"8 AM": "0% busy",
"9 AM": "0% busy",
"10 AM": "0% busy",
"11 AM": "20% busy",
"12 PM": "25% busy",
"1 PM": "27% busy",
"2 PM": "29% busy",
"3 PM": "34% busy",
"4 PM": "45% busy",
"5 PM": "57% busy",
"6 PM": "66% busy",
"7 PM": "78% busy",
"8 PM": "88% busy",
"9 PM": "93% busy",
"10 PM": "88% busy",
"11 PM": "69% busy"
},
"popular_times_saturday": {
"6 AM": "0% busy",
"7 AM": "0% busy",
"8 AM": "0% busy",
"9 AM": "0% busy",
"10 AM": "0% busy",
"11 AM": "17% busy",
"12 PM": "28% busy",
"1 PM": "41% busy",
"2 PM": "49% busy",
"3 PM": "54% busy",
"4 PM": "58% busy",
"5 PM": "61% busy",
"6 PM": "69% busy",
"7 PM": "78% busy",
"8 PM": "90% busy",
"9 PM": "100% busy",
"10 PM": "99% busy",
"11 PM": "87% busy"
},
"popular_times_sunday": {
"6 AM": "0% busy",
"7 AM": "0% busy",
"8 AM": "0% busy",
"9 AM": "0% busy",
"10 AM": "0% busy",
"11 AM": "12% busy",
"12 PM": "25% busy",
"1 PM": "38% busy",
"2 PM": "50% busy",
"3 PM": "55% busy",
"4 PM": "53% busy",
"5 PM": "55% busy",
"6 PM": "57% busy",
"7 PM": "65% busy",
"8 PM": "67% busy",
"9 PM": "64% busy",
"10 PM": "50% busy",
"11 PM": "0% busy"
}
}
Use Cases
1. Lead Generation for Marketing Campaigns
A digital marketing agency used the Google Maps Data Scraper to gather contact information for high-rated restaurants in New York City. By focusing on businesses with 4+ star ratings, they built a targeted email list that resulted in a 25% campaign engagement rate.
2. Competitive Analysis for a Local Business
A coffee shop wanted to understand its competition better. Using the scraper, they analyzed reviews and ratings of nearby cafes, identified popular menu items, and adjusted their offerings to align with customer preferences.
3. Market Research for Expansion
A chain of gyms looking to expand into new cities used the scraper to find neighborhoods with high demand but limited competition, using data on gym ratings and customer reviews.
Tips for Using Google Maps Data Scraper Effectively
- Use Specific Keywords: Refine your search with detailed keywords like "vegan restaurants" or "pet-friendly cafes."
- Segment the Data: Group your results by categories, ratings, or location to make analysis easier.
- Validate the Data: Double-check the scraped data to ensure its accuracy before using it for business decisions.
FAQs
1. Is the Google Maps Data Scraper legal?
Yes, the scraper collects publicly available data from Google Maps, adhering to Google’s terms and conditions.
2. What formats can I export the data in?
You can export the scraped data in formats such as JSON, CSV, or Excel.
3. How many listings can the scraper collect?
There is no hard limit; the scraper can process thousands of results depending on your settings.
4. Can I collect customer reviews?
Yes, the tool can scrape customer reviews, ratings, and review summaries.
5. Does it work for all locations?
Absolutely! The scraper supports global data collection, so you can target any city or country.
6. How long does it take to scrape the data?
The time required depends on the number of pages and results, but the tool is optimized for fast performance.
Conclusion
The Google Maps Data Scraper is an essential tool for anyone looking to collect detailed business data efficiently. Whether you’re conducting market research, generating leads, or analyzing competitors, this scraper simplifies the process and delivers high-quality, actionable insights.
👉 Click here to start using Google Maps Data Scraper today!
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