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How To Generate Google Maps Leads with Selenium Python 

Michael Kitas
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1 окт 2024

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Комментарии : 17   
@alexandratravels
@alexandratravels 6 месяцев назад
Great tutorial Michael🙏 Clear, conci: and very informative. Thanks for the valuable insights and tips!
@irfanshaikh262
@irfanshaikh262 6 месяцев назад
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.
@MichaelKitas
@MichaelKitas 6 месяцев назад
Thank you! 😀
@Faybmi
@Faybmi Месяц назад
Watching from Kyrgyzstan🇰🇬, great video thank you❤
@muhammadsalmandata
@muhammadsalmandata 6 месяцев назад
How to solve facebook marketplace duplicate photos upload problem? Please make video on it
@adarmawan117
@adarmawan117 5 месяцев назад
Hi, michael. Can you please make videos about SeleniumBase.? How to use, and all about that library,? Thanks in advance.
@MichaelKitas
@MichaelKitas 4 месяца назад
Great suggestion!
@melowmelowclub2329
@melowmelowclub2329 5 месяцев назад
Thank you, let me follow your steps
@michaelrstudley
@michaelrstudley 2 месяца назад
Great video, thank you
@OmarFreeManX
@OmarFreeManX Месяц назад
Great Michael 👏
@youtubesearch7239
@youtubesearch7239 6 месяцев назад
Great explanation brother can you please make a video on Scraping USPS shipment tracking. Lot's of appreciations from India 🇮🇳
@grahamsabin6286
@grahamsabin6286 3 месяца назад
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.
@nemem02
@nemem02 5 месяцев назад
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 !
@MichaelKitas
@MichaelKitas 5 месяцев назад
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
@nemem02
@nemem02 5 месяцев назад
@@MichaelKitas Thank you so much!! I will try it now ! Great great thanks!!!
@nemem02
@nemem02 5 месяцев назад
@@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. !!!
@MichaelKitas
@MichaelKitas 5 месяцев назад
@@nemem02 Very glad it worked out 🙂
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