In this session, Lukas Krivka, our top in-house Google Maps scraping expert, first discusses the limitations of the official Google Maps API, then introduces and introduces our Google Maps Scraper, and then answers many questions that we received from the public about Google Maps scraping.
Whether you're a beginner or have some experience, this session is designed to provide you with the tips and tricks you need to master Google Maps scraping.
* Resources mentioned throughout the Google Maps Scraping demo:*
Google Maps scraper: https://apify.com/compass/crawler-google-places
[NEW!] AI Text Analyzer for Google Maps reviews (great for sentiment analysis): https://apify.com/geneea-analytics/reviews-text-nlp-analyzer
Build your own scrapers:
(a) with our open source web scraping library Crawlee: https://crawlee.dev/
(b) using our new web scraping code templates: https://apify.com/templates
(c) or outsource development to us: https://apify.com/enterprise
*In this video you can find ️*
00:00 Presentation
1:42 Why was there a need for a Google Maps Scraper?
3:03 p.m. Demonstration
8:47 a.m. Questions and answers:
9:00 Can I remove all road closures/segments in the United States?
9:53 Can I remove all Burger King restaurants in Georgia with a permanently closed or temporarily closed status?
10:55 Can I scratch an entire country?
11:57 Can I retrieve postal codes?
13:19 Can I scratch out all the places there are in a given place, without specifying what those places should be?
3:50 p.m. Is there a way to get more contact information than Google Maps, like the venue's Facebook or Instagram page?
17:39 I mainly want to retrieve reviews from Google Maps. Also is there a way to run these through some sort of analytics tool on Apify?
19:40 Is it possible to customize the existing Google Maps Scraper to optimize it for our use case (we want to scrape additional items)?
8:40 p.m. How can I retrieve traffic data from Google Maps?
22:15 Many Google Maps players in the store appear to belong to a mysterious user "Compass", but they have no information on their profile. Are they trustworthy?
23:12 Is there a way to get more specific data? when I put in a category like "hospital" I get a lot of non-hospitals in the data that I have to remove manually.
24:14 I want to scrape: name, address, phone, email, fax, website URL, main image URL, categories, how many, how many reviews…
25:10 Is there a way to know the category structure of Google Maps beforehand to be able to define a more relevant search term?
26:20 How to retrieve review performance data on all locations i.e. {locationId}) saved to an account i.e. {accountId})… And extract all content associated opinions?
27:04 What languages are supported?
27:51 When you define a fairly specific search term like Hotel, you get many businesses/results that don't match. Can you avoid this somehow?
28:20 Are there ways to target only certain categories of relevant businesses?
28:46 Can you merge two players like Google Maps Scraper and Facebook Events Scraper?
29:50 Can you explain the difference between placeId (pid), customerId (cid) and featureId (ftid)? What would be the best way to use my database as the primary identifier?
31:06 I ran this scraper a few weeks ago and got 150 datasets after stopping the process manually. Is there a time limit you can set for output versus runtime?
31:55 Are the search terms AND or OR?
32:46 Can we use operators like quotes and minus in Apify (like in Google search) for better search?
33:33 Is there a way to get all the information from a list of predefined locations? this would periodically download and detect changes/trends for each location
34:55 Can you avoid road closures?
35:35 Still confused about review scraping – the demo actor is free and seems to support review scraping as well. What is the advantage of the paid Reviews Scraper?
36:45 Is it possible to receive emails from the website? Or from card data?
37:53 How to avoid duplicates when trying to scrape hotels in a city?
38:43 If I know the fundamentals of Python, can I create my own actor?
39:58Conclusion
#googlemaps #webscraping
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