Viber parsing

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: 27000 UAH Deadline: 14 days

Hello. I am ready to implement the project with technically correct architecture.

Estimate and stages:

Parser development (10–40 thousand items): Asynchronous data collection, setting up bypassing blocks, exporting to structured JSON. Deadline: 3–5 days. Estimate: 400 EUR.

Infrastructure: Preparing VPS (Ubuntu), installing Docker, deploying a secure instance of n8n. Deadline: 1 day. Estimate: 150 EUR.

AI automation: Building a pipeline in n8n (data intake -> OpenAI rewrite/SEO -> publication). Deadline: 4–6 days. Estimate: 650 EUR.

Total: 8–12 days / 1200 EUR.

Technical adjustments to your terms of reference:

Direct writing to MySQL WordPress is excluded. This will violate the structure and relationships of tables (wp_posts, wp_postmeta). Integration will be implemented securely through WP REST API.

Additional expenses. Renting a pool of residential proxies (necessary to protect against bans when parsing 40,000 products) and payment for API tokens of neural networks are to be covered separately by you.

Example of data transmission vector (PoC):
import requests
from bs4 import BeautifulSoup

def parse_and_send(url, webhook):
headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)"}
response = requests.get(url, headers=headers, timeout=10)
if response.status_code == 200:
soup = BeautifulSoup(response.text, "html.parser")
data = {
"title": soup.find("h1").text.strip() if soup.find("h1") else "No title",
"price": soup.find("span", class_="price").text.strip() if soup.find("span", class_="price") else "0",
"description": soup.find("div", class_="description").text.strip() if soup.find("div", class_="description") else ""
}
requests.post(webhook, json=data)

parse_and_send("https://example.com/product", "http://YOUR_VPS_IP:5678/webhook/import")

Code reference: This is a basic synchronous concept. The production version includes asynchronous requests (aiohttp/Scrapy), a pagination crawling module, and algorithms for rotating digital fingerprints to bypass protection. Linear scripts that are usually offered in dumping bids for 1 day will lead to an immediate ban of your server by the anti-fraud systems of the donor site. Expand

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: 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)