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Web Scraping, Parsers & Data Extraction

$15/hr Starting at $50

I build custom web scrapers and parsers that pull data from any source — websites, marketplaces, social networks, public databases — and deliver it where you need it: Google Sheets, your CRM, your database, or an exported CSV/JSON file.

Typical projects I deliver:

— E-commerce price and stock monitoring (your competitors, suppliers, marketplaces)

— Marketplace scrapers: Amazon, eBay, Etsy, Prom, Rozetka, OLX, Allegro

— Lead generation parsers: B2B contact info, company data

— Real estate listings, job boards, travel sites

— Social media data extraction (public profiles, posts, engagement metrics)

— Scheduled scrapers

— Data cleaning, deduplication, and structuring before delivery

Stack: Python (BeautifulSoup, Scrapy, Selenium, Playwright), Node.js (Puppeteer, Cheerio), MongoDB and PostgreSQL for storage, Google Sheets and Airtable for client-friendly output.

Anti-bot handling: rotating proxies, residential IPs, headless browsers, custom request patterns, CAPTCHA solving via 2Captcha or AntiCaptcha where legally permissible.

What you get: clean structured data, working scraper code with documentation, deployment to your server or my cloud (your choice), and a maintenance plan if the source site changes.

Track record: 100% project success rate, 10/10 average rating, 28+ completed projects, 5+ years of fullstack experience.

About

$15/hr Ongoing

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I build custom web scrapers and parsers that pull data from any source — websites, marketplaces, social networks, public databases — and deliver it where you need it: Google Sheets, your CRM, your database, or an exported CSV/JSON file.

Typical projects I deliver:

— E-commerce price and stock monitoring (your competitors, suppliers, marketplaces)

— Marketplace scrapers: Amazon, eBay, Etsy, Prom, Rozetka, OLX, Allegro

— Lead generation parsers: B2B contact info, company data

— Real estate listings, job boards, travel sites

— Social media data extraction (public profiles, posts, engagement metrics)

— Scheduled scrapers

— Data cleaning, deduplication, and structuring before delivery

Stack: Python (BeautifulSoup, Scrapy, Selenium, Playwright), Node.js (Puppeteer, Cheerio), MongoDB and PostgreSQL for storage, Google Sheets and Airtable for client-friendly output.

Anti-bot handling: rotating proxies, residential IPs, headless browsers, custom request patterns, CAPTCHA solving via 2Captcha or AntiCaptcha where legally permissible.

What you get: clean structured data, working scraper code with documentation, deployment to your server or my cloud (your choice), and a maintenance plan if the source site changes.

Track record: 100% project success rate, 10/10 average rating, 28+ completed projects, 5+ years of fullstack experience.

Skills & Expertise

Automation EngineeringChatbotsData ExtractionData ManagementDocker SoftwareJSONLinuxObject-Oriented ProgrammingProgrammingPythonSQLWeb Scraping

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