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Contra - A professional network for the jobs and skills of the futureAdvanced Web Scraping Engine with WAF Bypass & Automation

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Joao Melo

• 2d

[EN] Intelligence Web Scraping Engine | [BR] Motor de Web Scraping & Inteligência 📝 Description:

[EN] High-complexity data extraction bypassing advanced WAF protections (Cloudflare/DataDome). Engine built with Node.js and Puppeteer Stealth, featuring an IP rotation system. Extracts massive datasets and synchronizes autonomously with Google Sheets via AWS for market intelligence.

[BR] Extração de dados de alta complexidade com contorno de proteções WAF (Cloudflare/DataDome). Motor construído com Node.js + Puppeteer Stealth e sistema de rotação de rede. Realiza raspagem massiva e sincronização automatizada com Google Sheets via AWS para decisões de inteligência de mercado. 🛠️ Skills: Web Scraping, Node.js, Data Processing, JavaScript, Automation.

Web Scraping Puppeteer Data Engineering Data Science Node.js Python

Blessing Agandu

• Mar 5

Heard about Bright Data for the first time today and decided to check it out. Looked at their n8n integration and... I have questions. 😅 For those who don't know...it's basically infrastructure for pulling data from any website at scale. Proxies, scrapers, ready-made datasets. As someone who builds automations, I can already see where this fits. Still wrapping my head around it though. Has anyone used Bright Data in their workflows? What did you build with it?

N8N Bright Data nocodedeveloper

Abhiram Tinguria

• Mar 5

Interesting workflow. Combining n8n with Bright Data for automated data collection seems really powerful.

Lee Flannery

pro

• Mar 5

Retrieving publicly available data shouldn't require: • Puppeteer • Cheerio • XPath hell • Selectors that break every 48 hours I tested an AI tool that lets you describe the data you want & returns structured JSON. https://youtu.be/1ALembuWT5Q

OBS Studio CapCut YouTube Software Development Video Production

Watch on YouTube

Abhiram Tinguria

• Mar 5

Interesting approach Lee. Turning messy public web data into structured JSON with AI could simplify a lot of workflows.

Josiah Temitope

• Mar 5

This project demonstrates my data entry and web research skills. I created a structured spreadsheet containing professional contacts including names, job positions, companies, emails, and phone numbers. The data is organized clearly for business outreach and lead generation purposes.

Data Entry Lead Generation Google Sheets Research Microsoft Excel

Geethasree Naguboina

pro

• Mar 6

Clean structure makes outreach datasets far more usable. When fields like role, company, and contact info are standardized, it becomes much easier to filter, segment, and build targeted outreach lists.