• Projects 9
  • Rating 5.0
  • Rating 586

Budget: 12000 UAH Deadline: 3 days

It costs a little more because there are many problems with it. The time is unknown, it depends on many factors. I have experience.

Vadim K.

Vadim K.

Winning proposal
71 0
  • Projects 73
  • Rating 5.0
  • Rating 2 381

Budget: 8802 UAH Deadline: 1 day

Write in private messages
I will write everything in detail!!

I think the result will be about 50-55 thousand numbers.

  • Projects 15
  • Rating 5.0
  • Rating 2 163

Budget: 9000 UAH Deadline: 4 days

Hello! I am Roman, an individual developer with 4 years of experience in automation systems development and data parsing, so I will professionally implement your task of extracting and cleaning a database of numbers from Viber "turnkey"; my experience in developing scripts for data collection allows me not only to gather numbers but also to implement multi-stage filtering: removing duplicates, checking by country code (+380), excluding administrators, and filtering by activity status, so you receive the most "clean" and up-to-date database of 50–55 thousand contacts for further work; I work through a private entrepreneur, ensure complete data confidentiality, and provide the result in a format convenient for you, and my technical solutions and projects can be viewed here: https://3magency.co/, https://jk-solution.com.ua/, https://farfieworldwide.com/, Behance.

  • Projects 359
  • Rating 5.0
  • Rating 8 823

Budget: 8802 UAH Deadline: 1 day

Good day
I am ready to perform parsing of Viber communities.
I have extensive experience in parsing.
Write to me, we will discuss everything.

  • Projects 26
  • Rating -
  • Rating 506

Budget: 8802 UAH Deadline: 2 days

Hello. I will do it. Only those communities where participants are open are parsed. Channels are not parsed. 0.15 UAH per number.

  • Projects 5
  • Rating 5.0
  • Rating 1 591

Budget: 8500 UAH Deadline: 5 days

85 open Viber communities in the table - I see that the links have already been collected, which is good. I will parse through the mobile Viber API, bypassing the request frequency limits. In a similar project for 120 communities, I collected ~60k numbers in 4 days, with duplicate and inactive account filtering done by the script. Your criteria for non-Ukrainian numbers - are they just the operator codes or something else? As the first step, I will run a test run on 5 communities to agree on the format of the final CSV.

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