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Posted on Feb 20

How to Scrape Address and Phone Number from Google Maps?

#webdev #programming #beginners #python

Retrieving a few specific pieces of data is pretty easy. But if you have to process hundreds, thousands, or even more in a short period of time, it becomes a challenge that must be solved!

In this article, I will show you how to use Scrapeless's Google Maps API to retrieve address and phone data for hundreds of businesses within 3 minutes.

Scrapeless has taken care of the tedious task of scraping Google Maps data for you. You only need to connect to it and call the API to access it easily. Best of all, it works at scale.

If you want to learn more about Google Maps scraping tutorials, feel free to check out the other article - Google Maps Scraping Tool.

What Data Does Google Maps Provide?

Google Maps is a treasure trove of valuable business information, making it a popular target for web scraping. To effectively scrape data from Google Maps, it's essential to understand its interface and the key data points it provides.

Overview of Google Maps' Interface:

When you search for a business or location on Google Maps, the results are displayed in a structured layout. Here’s a breakdown of the interface:

1. Search Results Panel:

On the left side of the screen, Google Maps displays a list of businesses or locations matching your search query. Each listing typically includes:

Business Name: The name of the business or place.
Address: The physical location of the business.
Phone Number: Contact information for business.
Ratings: A star rating based on user reviews.
Number of Reviews: The total count of reviews left by users.
Category: The type of business (e.g., restaurant, hotel, retail store).

2. Info Cards:

When you click on a specific listing, an info card pops up with more detailed information. This card often includes:

Website Link: A direct link to the business's official website.
Operating Hours: The business' opening and closing times.
Popular Times: A graph showing how busy the location is at different times.
Photos and Videos: User-uploaded media related to the business.
Additional Details: Information like amenities, services, or special features.

3. Map View:

The right side of the screen displays a map with markers for each business or location. Clicking on a marker also triggers the corresponding info card.

Identifying Key Data Points:

🏬 Business Names
📍Addresses
☎️ Phone Numbers
🌟 Ratings and Reviews
🌐 Website Links
⏰ Operating Hours
🛒 Categories

Does Google Maps include all business contact details?

No. Google Maps is an ever-expanding free business database: marketers can find place names, addresses, phone numbers, and official websites. However, Google Maps does not provide information on business email addresses or social media accounts.

Fortunately, most businesses list their contact details in one place - their website, which is usually mentioned on their Google Maps details card.

What if you need to contact many businesses at the same time? You must have thought of manually clicking on each card to understand the merchant rating and contact information before making a decision. But you know there are hundreds of similar businesses around you.

How can you quickly complete the collection of contact information and review information? At this time, Google Maps API will help you quickly and accurately obtain all the information!

Scraping API: Effective and Simple Method to Scrape Google Maps

Scrapeless Google Maps API helps you get all the information on the map within 3 minutes. You only need to simply fill in the data and configure the API to immediately collect the most accurate store information.

Key Features of Scrapeless API

🔴 Affordable Pricing: Scrapeless is designed to offer exceptional value.
🔴 Stability and Reliability: With a proven track record, Scrapeless provides steady API responses, even under high workloads.
🔴 High Success Rates: Scrapeless guarantees a 99% success rate and reliability. The stability and accuracy of Google Trends scraping have reached nearly 100%! Currently, the average response time is around 3 seconds, significantly faster than most API providers. Moreover, data is returned in a standardized JSON format, making it ready for immediate use.
🔴 Scalability: Handle thousands of queries effortlessly, thanks to the robust infrastructure behind Scrapeless.
🔴 LLM integration: Scrapeless deeply integrates DeepSeek and chatGPT 4.0. It uses the powerful Deep SERP API to ensure timely information and comprehensive analysis.

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How to scrape address data from Google Maps? Follow our steps now!

Using Steps

Step 1. Obtain Your API Key

To get started, you’ll need to obtain your API Key from the Scrapeless Dashboard:

Log in to the Scrapeless Dashboard.
Navigate to API Key Management.
Click Create to generate your unique API Key.
Once created, simply click on the API Key to copy it.

Step 2: Use Your API Key in the Code

You can now use your API Key to integrate Scrapeless into your project. Follow these steps to test and implement the API. Let's scrape the coffee stores as an example:

Visit the API Documentation.
Click "Try it out" for the desired endpoint.
Enter your API Key in the "Auth" field.
Click "Send" to get the scraping response.

Below is a sample code snippet that you can directly integrate into your Google Maps Scraper.

Python

import http.client
import json

conn = http.client.HTTPSConnection("api.scrapeless.com")
payload = json.dumps({
   "actor": "scraper.google.maps",
   "input": {
      "engine": "google_maps",
      "q": "coffee",
      "type": "search",
      "ll": "@40.7455096,-74.0083012,14z",
      "hl": "en",
      "gl": "us"
   }
})
headers = {
   'Content-Type': 'application/json'
}
conn.request("POST", "/api/v1/scraper/request", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))

JavaScript

var myHeaders = new Headers();
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
   "actor": "scraper.google.maps",
   "input": {
      "engine": "google_maps",
      "q": "coffee",
      "type": "search",
      "ll": "@40.7455096,-74.0083012,14z",
      "hl": "en",
      "gl": "us"
   }
});

var requestOptions = {
   method: 'POST',
   headers: myHeaders,
   body: raw,
   redirect: 'follow'
};

fetch("https://api.scrapeless.com/api/v1/scraper/request", requestOptions)
   .then(response => response.text())
   .then(result => console.log(result))
   .catch(error => console.log('error', error));

Here you can see the scraping result as:

{
    "localResults": [
        {
            "position": 1,
            "title": "XXX", // To protect the personal privacy of merchants
            "place_id": "XXX", // To protect the personal privacy of merchants
            "data_id": "0x89c25978f9c7111f:0xe05a328a356XXXX", // To protect the personal privacy of merchants
            "data_cid": "11172410324437925XXXX", // To protect the personal privacy of merchants
            "photos_link": "https://lh5.googleusercontent.com/p/AF1QipP4grbD776nRg_vcxaCcawsSnfaHyJnKGuBkKgc=w122-h92-k-no",
            "gps_coordinates": {
                "latitude": 40.762524899999995,
                "longitude": -73.98361469999999
            },
            "place_id_search": "https://www.google.com/search?q=local+guide+program&ibp=gwp;0,26,OiQKIiIeVGltZXMgU3F1YXJlIENhZmUgTmV3IFlvcmssIE5ZKAI&pcl=lp",
            "provider_id": "/g/11v68mmqzf",
            "rating": 4.5, 
            "price": "$10–20",
            "type": "Coffee shop",
            "types": [
                "Coffee shop"
            ],
            "type_id": "coffee_shop",
            "type_ids": [
                "\"coffee_shop\""
            ],
            "address": "XXX",
            "open_state": "Open 24 hours",
            "hours": "Open 24 hours",
            "operating_hours": {
                "Friday": "Open 24 hours",
                "Monday": "Open 24 hours",
                "Saturday": "Open 24 hours",
                "Sunday": "Open 24 hours",
                "Thursday": "Open 24 hours",
                "Tuesday": "Open 24 hours",
                "Wednesday": "Open 24 hours"
            },
            "phone": "(212) 389-XXXX", // To protect the personal privacy of merchants
            "service_options": [
                "Delivery",
                "Onsite services",
                "Takeout",
                "Dine-in"
            ],
            "thumbnail": "https://lh5.googleusercontent.com/-XIHkSualLQo/AAAAAAAAAAI/AAAAAAAAAAA/pRqlMa0yV_0/s44-p-k-no-ns-nd/photo.jpg"
        },

What other Information Can I Get on Google Maps?

1. Contributor reviews

import requests
import json

url = "https://api.scrapeless.com/api/v1/scraper/request"

payload = json.dumps({
   "actor": "scraper.google.maps",
   "input": {
      "engine": "google_maps_contributor_reviews",
      "contributor_id": "110382514725174877672",
      "hl": "en",
      "gl": "us"
   }
})
headers = {
   'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

2. Directions

import requests
import json

url = "https://api.scrapeless.com/api/v1/scraper/request"

payload = json.dumps({
   "actor": "scraper.google.maps",
   "input": {
      "engine": "google_maps_directions",
      "start_addr": "Austin-Bergstrom International Airport",
      "end_addr": "5540 N Lamar Blvd, Austin, TX 78756, USA",
      "hl": "en",
      "gl": "us"
   }
})
headers = {
   'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

3. Reviews

import requests
import json

url = "https://api.scrapeless.com/api/v1/scraper/request"

payload = json.dumps({
   "actor": "scraper.google.maps",
   "input": {
      "engine": "google_maps_reviews",
      "data_id": "1s0x89c259af336b3341:0xa4969e07ce3108de",
      "hl": "en",
      "gl": "us"
   }
})
headers = {
   'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

Best Use Cases for Contacts Scraped from Google Maps

Extracting contacts and addresses from Google Maps is useful in a variety of situations, including:

Extracting business contacts and emails at scale.
Building a database with up-to-date contact information.
Updating an old database of contact information.
Creating B2B cold email marketing campaigns.
Finding sales, partnership, and sponsorship prospects.
Mining local sales leads.

Conclusion

Google Maps data scraping is a great way to extract local business data. Whether you're looking for code or no-code ways to extract data from Google Maps or other search engines, we have a simple and fast solution for you.

Scrapeless offers a one-month free trial, where you can enjoy all the services to collect data. How to find address from google maps? You can collect a lot of data in a very short time with Scrapeless.

Get your Free Trial now!

FAQs:

Is it legal to scrape addresses and phone numbers from Google Maps?

Our Google Maps scrapers are ethical and do not extract private user data. They only extract data that businesses choose to share publicly on the web. However, you should be aware that some results, such as reviews, may contain personal data. Unless you have a legitimate reason, you should not scrape personal data.

Can I extract longitude and latitude from Google Maps?

Yes, every place on Google has a longitude and latitude assigned to it. You can easily scrape these.

Can I scrape contact details for an entire city?

Of course, you can! If your area has a name (city, state, or country), you can scrape places on Google Maps by just entering the name. But you can also extract data by geographic location (multiple longitude and latitude points).

Can I scrape restaurant chains and their contact details?

Sure! For example, you can use the search options parameter in Google Maps Scraper to scrape all Starbucks or KFCs in the area. Then, use the Google Maps email extractor to enhance your dataset with all the contact details, as we do in this tutorial.

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