Viber parsing

Budget: 3000 UAH Deadline: 3 days

Good day.

If you need to parse phone numbers of subscribers from channels, I will say it directly. This is technically impossible. Viber hides the lists of participants and their contacts in channels and communities from everyone except administrators. It will not be possible to bypass this restriction without administrator access.

If the goal is to collect textual content, photos, and messages published in these 49 channels, this can be implemented. I will write a Python script that automates the collection of message history and exports all data into a convenient Excel or CSV table.

What exactly is the task at hand for you, an attempt to obtain a contact database for mailing or collecting content from the publications in the channels?

Budget: 1500 UAH Deadline: 2 days

Hello! I regularly work with parsing, and the task is generally clear, but there is one important nuance specifically with Viber.

I want to be honest right away and save your time: if you need to parse the content of these 49 channels (message texts, links, publication dates) — I can do this without any problems and will compile everything into a neat Excel or Google spreadsheet.

However, if your goal is to extract the phone numbers of these 80 thousand subscribers, then technically it is impossible to do. Viber strictly hides this data; only community admins can see the contacts.

Please message me privately about what exactly you expect to see in the final table.

Budget: 10000 UAH Deadline: 7 days

I have extensive experience in data parsing. Viber has its own features and a more closed system compared to other messengers, but I know how to bypass these limitations and collect information safely and without loss.

Here’s how I propose to structure the work:

Setup of collection: I will create an algorithm that will methodically go through all the specified channels.

Filtering: Right at the collection stage, I will filter out unnecessary junk, duplicates, or system messages, so you receive only clean information.

Structuring: I will provide you with the final result in the most convenient format (Excel, CSV, or Google Sheets). Everything will be clearly divided into columns (for example: channel name, date, text, links, etc.).

To give you an exact price, please provide a few details:

What exactly needs to be parsed? (Publication texts, phone numbers if these are open groups, links, or media files?)

Are these channels public communities, or is an invitation required for access?

I have indicated a preliminary cost and timeline. Expand

Budget: 16900 UAH Deadline: 5 days

Parsing 49 channels in Viber is a specific task, as the messenger does not have an open API for direct mass data extraction from public or private communities. Over 8 years of working in e-commerce, I regularly develop custom scripts in Python for collecting, cleaning, and structuring large datasets. The optimal and safest solution for your task is automated reading of the local Viber Desktop database (viber.db via SQLite), where the entire message history of the channels is mirrored and synchronized. Complete setup of the tool and final delivery of the structured database will take 3–5 days, and the cost of the work will be $380. Let's discuss the details in the chat so I can show you an example of the future file structure.

Budget: 8000 UAH Deadline: 5 days

I understood the task - parsing 49 channels on Viber with a total audience of about 80 thousand subscribers is needed. I will collect data for each channel in a structured format that is convenient for further work with it. I will take into account that Viber restricts automated access, so I will find a stable method of collection without frequent blocks. I will deliver the result in a format that you can easily open and use right away - a table or file of your choice. I am ready to clarify what specific data from each channel is needed, besides the number of subscribers.

Budget: 16000 UAH Deadline: 6 days

Hello! Viber parsing is a specific task since the platform does not have an open API for reading other channels. However, I have a proven architectural solution that works stably, quickly, and without the risk of account blocking.

Instead of unstable screen emulators, I will set up data collection at the database level of the official Viber desktop client.

How the system will be implemented based on the Laravel framework:
1. Infrastructure: The official Viber client is deployed on a VPS with a technical account subscribed to the necessary 49 channels. The client automatically and legally synchronizes the entire stream of messages to a local SQLite storage.
2. ETL pipeline (Laravel): A scheduled script (Laravel Scheduler) connects directly to the Viber database file, instantly reads new arrivals, normalizes the text, extracts media/links, and saves them to your target database.
3. Duplicate and gap control: Since we are working with the system message IDs of Viber itself, the occurrence of duplicates or missed messages due to network failures is excluded 100%.

Estimated conditions:
- Budget: 12,000 - 16,000 UAH (depending on where and in what format the parsed data needs to be delivered - API, Telegram, Google Sheets, or another database).
- Implementation period: 4-6 working days.

The solution is autonomous, does not require constant support, and operates "in the quiet zone" of the server. I am ready to discuss the data output format in private messages! Expand

Budget: 5000 UAH Deadline: 3 days

Need to extract data from 49 Viber channels (subscribers, posts, possibly contacts) in a convenient format.

I will connect via Viber API or, if the channels are public, through the web interface with Playwright. I will save the data in Excel/CSV with deduplication. If the API does not provide the required fields, I will bypass it using a headless browser with session rotation to avoid getting blocked.

What exactly needs to be collected from the channels: just the number of subscribers, or also posts, publication dates, links?

Budget: 3000 UAH Deadline: 3 days

Hello! I am interested in your project for parsing Viber channels. I have experience in automating data collection and am ready to take on this work.

Since Viber has certain restrictions regarding automated access, I suggest we discuss the technical side (what exactly needs to be obtained as a result: a contact database, message history, or other information) so that I can propose the optimal implementation option.

I would be happy to discuss the details.

Budget: 8000 UAH Deadline: 1 day

Hello, this is exactly what I do ) you can read reviews about me)

Price - 0.1 UAH / number

Budget: 1000 UAH Deadline: 1 day

Hello!

I have extensive experience in developing solutions for parsing and processing data (various sources, protection against blocking, automation). I am ready to complete the assigned task in the shortest possible time.

I suggest discussing the details in private messages.

Budget: 1200 UAH Deadline: 2 days

Good day! I am ready to perform parsing of 49 Viber channels (~80 thousand subscribers) - I will collect data using available technical methods, as there is no official API for third-party Viber channels. Please clarify - are the channels public (can be subscribed to without admin approval), and what exactly needs to be extracted: message texts, media, or subscriber data? Is this a one-time collection of the existing database or is ongoing monitoring of new messages required? I will deliver the result in a convenient Excel/CSV format.

Budget: 14000 UAH Deadline: 14 days

Good day!
Thank you for the interesting task. I am ready to take on the parsing of Viber channels, but before starting, I would like to clarify a few important details to ensure that the assessment and approach to the work are as accurate as possible.
First, regarding the channels themselves (49 pcs., ~80 thousand subscribers) — are they public (can be subscribed to from the outside without the administrator's permission), or are some of them closed/private and require separate access? This critically affects which channels can actually be processed technically.
Second, what exactly needs to be extracted from these channels — message texts, media files, subscriber data, timestamps, or something else? Please describe in more detail the format and content of the data that should be included in the database.
Third, is a one-time export of the existing message database needed (a one-time collection of what is already in the channels), or is it about continuous monitoring — that is, tracking new messages in near real-time?
The final approach depends on the answers to these questions, so I propose the following:
I am ready to perform the work for 14,000 UAH within a period of up to 14 working days, including: checking the availability and type of channels, implementing a solution for data collection (considering that Viber does not have an official public API for reading other people's channels, so the solution will be based on available technical methods), and providing the final database in a format convenient for you. If continuous monitoring is specifically needed (rather than a one-time collection), this should be discussed separately — such a solution requires ongoing support and possibly monthly payment for stable operation, as unofficial Viber parsing methods may require periodic adjustments.
I would be happy to discuss the details and start working immediately after clarifying the conditions.
Best regards, Daria

Budget: 1000 UAH Deadline: 1 day

Good day, Vito.

Viber does not have an open API for channels, so collecting from 49 channels requires a headless browser with proxy rotation and anti-detect settings — otherwise, accounts get banned before reaching the first thousand subscribers. Your 80,000 records will be extracted in stages, with checkpoints after every 5–10 channels to timely detect changes in structure or blocking.

Before starting, it is advisable to conduct an audit of 2–3 channels of different access types — this will confirm the technical feasibility of the collection and allow us to agree on the Data Dictionary: which specific fields are needed (subscriber list, message history, channel metadata). This approach will save time and avoid situations where half of the channels turn out to be inaccessible due to privacy. This will determine the architecture of the parser — for subscribers, session scraping is sufficient, while for complete message history, incremental collection with checkpoints in SQLite will be necessary, so that in case of interruption, the process can resume without losing already collected data.

Private channels with restricted access will be processed separately — the parser will identify them during the reconnaissance stage, and you will receive a report on the availability of each of the 49 channels before the main collection.

The data will undergo validation, duplicate removal, and will be provided in a convenient format — CSV or Excel. The modular architecture of the parser will allow for easy addition of new channels without rewriting the logic. If additional accounts or paid proxies are needed for some channels, we will clarify this separately after the preliminary audit.

Implementation options:

Basic
8000–12000 UAH
• Clean database from 10-15 selected channels
• Removal of duplicates among collected contacts
• File in CSV/Excel format for quick import
• Guarantee of data integrity without loss

Standard
20000–30000 UAH
• Complete subscriber database from all 49 channels (~80,000 records)
• Deep normalization and validation of phone numbers
• Protection against blocking due to proxy rotation and anti-detect settings
• Structured database ready for immediate use in CRM
• Report on the number of successfully collected data for each channel

Premium
35000–50000 UAH
• Full data collection from all 49 channels with maximum detail
• Modular architecture allowing for the addition of new channels in the future
• Regular database updates (re-collection of new subscribers over the month)
• Advanced analysis and segmentation of collected data
• Priority support and technical assistance after project delivery Expand

Budget: 2000 UAH Deadline: 2 days

Hello, Vito! I am happy to help you perform quality and fast data parsing from the specified Viber channels. Here’s how I will implement the project: I will write an automated script in Python that will connect to all 49 channels. The script will carefully collect all the necessary information (post texts, contacts, or links) without omissions or duplicates. I will format all the collected data and upload it into a convenient Excel file (.xlsx) or table for you. My portfolio with completed Python projects (working with SQLite databases and scripts) is already published in my profile. Message me privately — we will discuss which specific data from the channels you need to export to Excel (only contacts or post texts as well), and I will immediately start the parser!

Budget: 700 UAH Deadline: 1 day

Good day, Vita!
Overall, the task is clear. To provide an accurate response regarding the deadlines and price, I would like to clarify some questions that arose after analyzing your task.
Please write in private messages – we will discuss the details and your wishes.

Budget: 1000 UAH Deadline: 1 day

Good day
I am ready to perform parsing from Viber.
Write to me, we will discuss everything.

Budget: 6500 UAH Deadline: 7 days

aVita, I understand that you need organized information from 49 Viber channels. This will help gather data about the audience and their interests, which is key for further analysis or marketing.

Let's create a solution for automatic data collection from these channels. The result will be a clean, structured file (for example, CSV or Excel) with all the necessary information about subscribers or posts that we will agree upon.

What specific data do you need to obtain from the channels: subscriber lists, their profiles, or the content of the posts?

Budget: 1000 UAH Deadline: 1 day

Good day, I am ready to complete your task quickly and efficiently. I have extensive experience in creating various parsers. Please write to me in private messages to discuss the details. I would be happy to help)