Web Scraping & Data Processing Specialist

Job Description

Title: Web Scraping & Data Processing Specialist

Company Name: InfoLoom Systems LLC

Vacancy: --

Age: Na

Job Location: Anywhere in Bangladesh, Dhaka (Vatara)

Salary: Negotiable

Experience:

• At least 3 years
• The applicants should have experience in the following business area(s): IT Enabled Service, BPO/ Data Entry Firm, Business-to-Business (B2B) Software and Services Startup

• Bachelor of Science (BSc)

• At least 3 years
• The applicants should have experience in the following business area(s): IT Enabled Service, BPO/ Data Entry Firm, Business-to-Business (B2B) Software and Services Startup

• Only Male

• Strong proficiency in Python and web scraping frameworks.
• Deep understanding of HTML/CSS selectors and XPath.
• Ability to bypass anti-bot systems (rotating proxies, user-agents, CAPTCHA handling).
• Experience with SQL for storing and managing scraped data.
• Knowledge of Excel for data verification and QA.
• Attention to detail and commitment to data accuracy.

Bonus Skills:

• Experience with API-based data extraction.
• Familiarity with Laravel Blade templates for data integration.
• Understanding of U.S. eCommerce catalog standards.
• Git version control & CI/CD workflows.
• Ability to manage data for multiple brands and domains.

About Us:

Infoloom Systems LLC is a U.S.-registered company specializing in large-scale online furniture catalogs for American retailers. We collect, process, and publish detailed product data to Laravel-based websites.

We’re looking for a Web Scraping Specialist who can efficiently collect, clean, and process product data using both custom scripts and modern scraping tools.

What You’ll Do:

• Scrape product data, descriptions, prices, and images from vendor websites and online catalogs.

• Build and maintain scraping scripts using Python (BeautifulSoup, Scrapy, Selenium, or Playwright).

• Use Octoparse, WebHarvy, and other scraping tools to extract structured data when scripting is not needed.

• Parse and format data into CSV, Excel, JSON, or SQL.

• Automate scraping schedules and handle incremental updates.

• Download, rename, and organize bulk product images.

• Clean and standardize scraped data to meet our catalog format.

• Performance bonus,Profit share,Gratuity
• Salary Review: Yearly
• Festival Bonus: 2

Work on high-volume, real-world data for U.S.-based retailers. Flexible, remote work environment. Opportunity to contribute to a growing international company. Long-term career growth potential.