Viber Parsing
There is a list of approximately 85 Viber communities with a total audience of 72 thousand.
The communities are open, and the links are conveniently gathered in an Excel table.
It is necessary to parse the phone numbers, remove duplicates, non-Ukrainian phone numbers, the numbers of the admins of these communities, and the numbers of accounts that have not been online for a long time. I think the result will be about 50-55 thousand numbers.
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587 9 0 It costs a little more because there are many problems with it. The time is unknown, it depends on many factors. I have experience.
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2401 71 0 2 Write in private messages
I will write everything in detail!!
I think the result will be about 50-55 thousand numbers.
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2163 14 0 1 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.
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9010 367 0 Good day
I am ready to perform parsing of Viber communities.
I have extensive experience in parsing.
Write to me, we will discuss everything.
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506 28 0 Hello. I will do it. Only those communities where participants are open are parsed. Channels are not parsed. 0.15 UAH per number.
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1315 2 0 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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