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Thanks for watching! Yes I do and the creator is very responsive incase you find any discrepancies. If you want to explore additional scraping services you can also review Tracerfy here - th-cam.com/video/W6D0tf0nKB4/w-d-xo.html.
First time leaving a comment. Have you started calling home owners n stuff ? I watched your videos last year before u started saying u we’re gonna wholesale not sure where ur at now but I love real estate n Python so glad u combine em
Thanks for watching! Yes I've started on the journey of calling home owners but at a small scale, will post more videos as I continue to systemize it 🙂
Hey it’s a programming language. You can search “how to code in Python” in Google for more information. If you want to learn more about the API you can find more information here - www.scrapeak.com/
Thanks for watching! Yes you could build a simple web app like a streamlit app. How it would work would be uploading the file to the app, the python script reads in the file as a pandas dataframe, then it passes each address into the api, and auto returns the csv file with skip traced contact info
Hi Ariel , your videos are really usefull, Is there any form to get the information of "Est. prep & repair costs" from recently sold properties?. I did´t found that information in the Property Detail Search, I´ll appreciate any help
Hi Jesica thanks for watching! From the Zillow Scrapeak api it only obtains data that can be web scraped from Zillows webpage. Therefore it wouldn’t have estimate prep and repair costs. However, there are other APIs like FoxyAI that provides comps based on the quality of the property
Does this work for searching up homeowners information based off of every property listed for sale or under contract between the price of $100k and $3M?
Thanks for watching! No that would be a separate dataset. Scrapeak (the same API provider as in the video) also has a Zillow Scraper. You can pair this to first extract properties for sale / contract between your desired price range and then afterwards apply the skip tracing 👍
I have a list of 10,000 addresses to find a phone number, I really don’t manage how to attach the spreadsheet so that it generates the search automatically
Hi you can upload your file in Google colab and run a for loop on the properties in your spreadsheet to get phone number If you would like additional assistance you can message me at arielherrera@analyticsariel.com
Awesome work. Thank you! Do you know if Scrapeak has any plans to include a.) flagging phone numbers as mobile or landline and b.) adding emails where available? If not I'll go ahead and reach out to customer support and let you know what I find out
Thanks for watching Luke! I am not sure but would be curious to find out as well, definitely report back if @scrapeak is unavailable to answer directly in this comment 🙂
@@TechInRealEstate I reached out to their customer service and they responded. "Unfortunately, this feature is not available at the moment, but we are working on it." I'll keep you posted when I hear more as that will be helpful details when doing outreach
Thanks for watching you can email us at peter@bulkupload.info with your use case. We had planned to release skip tracing for any list Feb 1st, 2024, we can look to expedite it for your use case
@@TechInRealEstate Oh cool. I can wait no worries. Actually I'm in learning process with your python courses, thanks for the reply and for these brilliant tools!
Have real estate data analytics questions? Join the private Facebook Group to ask questions and learn from peers - facebook.com/groups/techinrealestate
Amazing Video! There is also skip tracking with bulk list search feature🔥
That’s a great benefit!
Hello are you still using this software or have you found something better. Thanks
Thanks for watching! Yes I do and the creator is very responsive incase you find any discrepancies. If you want to explore additional scraping services you can also review Tracerfy here - th-cam.com/video/W6D0tf0nKB4/w-d-xo.html.
How can you skip trace and get contact info for LLC's
Thanks for watching - open corporates
Hy I do all type of Skip tracing
Feel free to contact
Thanks for watching!
First time leaving a comment. Have you started calling home owners n stuff ? I watched your videos last year before u started saying u we’re gonna wholesale not sure where ur at now but I love real estate n Python so glad u combine em
Thanks for watching! Yes I've started on the journey of calling home owners but at a small scale, will post more videos as I continue to systemize it 🙂
Good video... wanted to follow along, but the colab links were not available as mentioned in the video.
Now added, thanks for the callout!
Hello, what is python and how would one access it? I don't see it in google search...
Hey it’s a programming language. You can search “how to code in Python” in Google for more information. If you want to learn more about the API you can find more information here - www.scrapeak.com/
@@TechInRealEstate awesome! Thank you! 🙂
Great video, I wonder if I uploaded my own list into the system to contact data
Thanks for watching! Yes you could build a simple web app like a streamlit app. How it would work would be uploading the file to the app, the python script reads in the file as a pandas dataframe, then it passes each address into the api, and auto returns the csv file with skip traced contact info
Fantastic video. Exactly what I've been looking for! Going to give this a try. Interesting you're in the Tampa area as I am as well. 👍
Thanks for watching, glad it was useful! Always happy to hear from a fellow Floridian 🌴
Hi Ariel , your videos are really usefull, Is there any form to get the information of "Est. prep & repair costs" from recently sold properties?. I did´t found that information in the Property Detail Search, I´ll appreciate any help
Hi Jesica thanks for watching! From the Zillow Scrapeak api it only obtains data that can be web scraped from Zillows webpage. Therefore it wouldn’t have estimate prep and repair costs. However, there are other APIs like FoxyAI that provides comps based on the quality of the property
Does this work for searching up homeowners information based off of every property listed for sale or under contract between the price of $100k and $3M?
Thanks for watching! No that would be a separate dataset. Scrapeak (the same API provider as in the video) also has a Zillow Scraper. You can pair this to first extract properties for sale / contract between your desired price range and then afterwards apply the skip tracing 👍
Do you know the cost of what they charge to skip trace that info per address i put in? @@TechInRealEstate
I have a list of 10,000 addresses to find a phone number, I really don’t manage how to attach the spreadsheet so that it generates the search automatically
Hi you can upload your file in Google colab and run a for loop on the properties in your spreadsheet to get phone number
If you would like additional assistance you can message me at arielherrera@analyticsariel.com
I sent you an email
Awesome video, pleas dark mode and a little zoom for next videos🥸
Thanks Erick for watching and for the feedback!
Thank you, greatly appreciated.
Thanks for watching!
Awesome work. Thank you! Do you know if Scrapeak has any plans to include a.) flagging phone numbers as mobile or landline and b.) adding emails where available? If not I'll go ahead and reach out to customer support and let you know what I find out
Thanks for watching Luke! I am not sure but would be curious to find out as well, definitely report back if @scrapeak is unavailable to answer directly in this comment 🙂
@@TechInRealEstate I reached out to their customer service and they responded. "Unfortunately, this feature is not available at the moment, but we are working on it." I'll keep you posted when I hear more as that will be helpful details when doing outreach
@@luketerry2006 Thanks for checking, I appreciate it!
How can I get the phones if I have a list of 1000+ addresses?
Thanks for watching you can email us at peter@bulkupload.info with your use case. We had planned to release skip tracing for any list Feb 1st, 2024, we can look to expedite it for your use case
@@TechInRealEstate Oh cool. I can wait no worries. Actually I'm in learning process with your python courses, thanks for the reply and for these brilliant tools!