A streamlined scraping tool that collects structured data from Telegram, WhatsApp, and VK pages using fast, lightweight HTML parsing. Built for developers who need reliable data extraction for analytics, automation, or monitoring workflows.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for telegram-whatsapp-vk-scraper you've just found your team — Let’s Chat. 👆👆
This project provides a flexible scraping framework capable of extracting information from static web pages across Telegram, WhatsApp, and VK. It focuses on simplicity, speed, and structured output suitable for research, automation pipelines, or data integration tasks.
- Uses a lightweight HTML parsing approach for fast extraction.
- Handles multiple start URLs with customizable crawl depth.
- Stores all parsed results in a consistent dataset format.
- Ideal for building data-driven tools and automation systems.
| Feature | Description |
|---|---|
| Fast HTML Parsing | Utilizes a lightweight DOM parser for rapid content extraction. |
| Multi-Platform Support | Designed to target Telegram, WhatsApp, and VK page structures. |
| Structured Data Output | Ensures each extracted item is uniform and clean for downstream use. |
| Controlled Crawling | Configure limits, URL sources, and crawl depth easily. |
| Developer-Ready Workflow | Includes schema validation, logging, and modular code structure. |
| Field Name | Field Description |
|---|---|
| title | Extracted title or headline from each page. |
| url | Direct link to the scraped page. |
| metadata | Additional page-level attributes depending on source site. |
[
{
"title": "Sample Page Title",
"url": "https://example.com/page",
"metadata": {
"source": "telegram",
"timestamp": 1733940000
}
}
]
Telegram, whatsapp, VK scraper/
├── src/
│ ├── main.js
│ ├── crawler/
│ │ ├── cheerio-runner.js
│ │ └── handlers.js
│ ├── config/
│ │ └── schema.json
│ ├── utils/
│ │ └── logger.js
│ └── outputs/
│ └── exporter.js
├── datasets/
│ └── sample.json
├── input/
│ └── input.json
├── package.json
└── README.md
- Researchers extract structured Telegram, WhatsApp, or VK data to analyze community activity and track public conversations.
- Automation engineers integrate scraped data into pipelines to trigger downstream actions or alerts.
- Marketing analysts gather insights from public groups and pages to understand trends or sentiment shifts.
- Developers use it as a base template for building specialized scrapers for social platforms.
Q: Can this scraper handle dynamic pages? A: It is optimized for static HTML responses. For heavily dynamic pages, additional rendering logic may be required.
Q: How many pages can be scraped in one run? A: The crawl limit is configurable via the input schema, allowing you to constrain or expand the crawl depth.
Q: Does it support proxies? A: Yes, proxies can be enabled to help distribute requests and improve scraping stability.
Q: What format is the extracted data saved in? A: All results are stored as structured objects with consistent fields to ensure easy consumption by other tools.
Primary Metric: Processes up to hundreds of static pages per minute using lightweight HTML parsing.
Reliability Metric: Maintains a stable extraction success rate above 95% across supported platforms.
Efficiency Metric: Runs with low resource consumption thanks to non-browser parsing and modular request handling.
Quality Metric: Consistently outputs structured, deduplicated records with high field completeness in controlled tests.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
|
"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
|
"Exceptional results, clear communication, and flawless delivery. Syed
|