Budget: 5000 UAH Deadline: 4 days
Good day . I have a lot of experience in similar projects. I am pleased to take this job.
Budget: 5000 UAH Deadline: 4 days
Good day . I have a lot of experience in similar projects. I am pleased to take this job.
Budget: 3900 UAH Deadline: 10 days
Good morning, I will fulfill your task, about 4 years of application development.
I offer a price from $100.Now the exact price I will not say because there are no sites, the speed of parsing, and the number of goods.
There is an attempt to develop such add-ons.
Budget: 8000 UAH Deadline: 8 days
Welcome to
I will write the price parser from the online stores on Python, connect to the Google tables, help download it to the server and set up the automatic update at the time mentioned.
I am happy to work together.
Budget: 500 UAH Deadline: 7 days
Hello to you. Get acquainted with the task. I can do according to TZ. The final price and deadlines will be determined during the dialogue. At a reasonable price and deadline, we will agree. What budget are you about to calculate? Will we discuss cooperation?
Budget: 5000 UAH Deadline: 5 days
Good Morning, Igor.
Your application for the project is understood, contact personally to discuss details.
Budget: 5500 UAH Deadline: 5 days
I’m doing parsing websites of any difficulty.
Approximately 500 UAH for each website (shop). I will do in 4 days +-
Budget: 2500 UAH Deadline: 3 days
You can use Google App Script. Then there will be a spreadsheet table and with it will be a .gs script, the start of which can be adjusted through the same table (can once a day, once a hour, etc.)
The main question: are the links to each item in the table, or only the name?
If there is a link, then it will be faster and cheaper.
Thank you for attention.
by Denis
Budget: 4990 UAH Deadline: 5 days
Good day .
We have great experience in Parsons.
I will be happy to cooperate.
A good day.
Budget: 5000 UAH Deadline: 7 days
Good day !
I write the price parser for each of these sites in the table, I make logic, automatic update I connect to Google tables and put on the server
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