How To Generate Google Maps Leads with Selenium Python
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- Опубликовано: 8 фев 2025
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🎥 Video Description:
In Episode 14 of the Python Selenium Tutorial Series, we tackle a highly practical and valuable topic: How to Generate Google Maps Leads using Selenium in Python. This episode is dedicated to uncovering the power of web scraping for lead generation on one of the most extensive business directories available: Google Maps.
🔍 Why is This Important?
Understanding how to efficiently generate leads from Google Maps can significantly benefit businesses and freelancers who rely on local and global business information for marketing, sales, or research. We'll explore how automated web scraping can streamline this process, saving time and providing a competitive edge in various industries.
🧩 Learn About:
The fundamentals of web scraping with Selenium in Python and its application for extracting business information from Google Maps.
Setting up Selenium with the right configurations for successful scraping, including the use of proxies to avoid IP blocking and maintain privacy.
Techniques for navigating, searching, and extracting detailed business information such as names, addresses, contact details, and reviews from Google Maps.
Best practices for managing and storing the scraped data effectively for marketing or analysis purposes.
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Absolutely fantastic.
Loved the way you fooled the tech gaint by still being able to extract the divs even when it was designed to supress it.
Thank you! 😀
Great tutorial Michael🙏
Clear, conci: and very informative. Thanks for the valuable insights and tips!
Watching from Kyrgyzstan🇰🇬, great video thank you❤
Now for numbers, we need to add another simulation, by clicking the link, and Google has now hidden it from inital view :) Maybe they saw this video
@@siddharthchaberia1968 Yeah they make changes frequently on the UI 😅
Great work. i have got import seleniumwire not resolve. can you help me
Great video, thank you
Great Michael 👏
what if I want to do scrapping at the country level, not city or province level
@@MagicJar172 Perhaps search for “keyword” in “country” but it won’t be as effective. Working on a new solution currently for this, where we can get literally ALL businesses for any niche and location, shoot me a message if you are interested. Email: mixaliskitas@gmail.com
Great explanation brother can you please make a video on Scraping USPS shipment tracking. Lot's of appreciations from India 🇮🇳
Thank you, let me follow your steps
Hi Michael, great video thank you for the help! I'm trying to use this now to scrape for phone numbers, but I think Google has updated where the phone numbers are stored, so now you need to click on the item card in order to find it as it no longer exists in the text. Just something interesting that I noticed. Maybe you have a better work around.
Hi, michael.
Can you please make videos about SeleniumBase.? How to use, and all about that library,?
Thanks in advance.
Great suggestion!
Excelent material, just one question, I want to extract the physical adress and I cant find a way, it doesnt appear to have a unique attribute to use it on the search by CSS. I am struggling and losing my sight hahah... pls help !
Hello, got the solution for you:
Use this selector: .fontBodyMedium .W4Efsd:nth-child(1)
You will get both proffesion and address
Then use this: ·
And split the text using the above character and you will get the proffesion and address seperately
@@MichaelKitas Thank you so much!! I will try it now ! Great great thanks!!!
@@MichaelKitas SOLVED !!! Now it works I used this : I dont need the profession so I only got the adress.
try:
data['address'] = item.find_element(By.CSS_SELECTOR, '.fontBodyMedium > div:nth-child(4) > div:nth-child(1) > span:nth-child(2) > span:nth-child(2)').text
except Exception:
pass
THIs is the BEST scraping code I have encountered. Most of the other ones dont work as clean as your code. GREAT and thank you so much !!! I have seen like 10 different programs and most of them dont scroll the data so they only get like 20 results. This one with the Js coding is PERFECT. Thanks again. !!!
@@nemem02 Very glad it worked out 🙂
How to solve facebook marketplace duplicate photos upload problem? Please make video on it