Title: Web Scraping & Data Processing Specialist
Company Name: InfoLoom Systems LLC
Vacancy: --
Age: Na
Job Location: Anywhere in Bangladesh, Dhaka (Vatara)
Salary: Negotiable
Experience:
Bonus Skills:
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.
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.
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.
| University | Percentage (%) |
|---|---|
| Daffodil International University (DIU) | 5.07% |
| Jahangirnagar University | 5.07% |
| American International University Bangladesh (AIUB) | 4.35% |
| 4.35% | |
| National University | 3.62% |
| East West University | 3.62% |
| Independent University, Bangladesh | 3.62% |
| Green University of Bangladesh | 2.90% |
| Ahsanullah University of Science and Technology (AUST) | 2.90% |
| North South University | 2.90% |
| Age Range | Percentage (%) |
|---|---|
| 20-30 | 70.29% |
| 31-35 | 16.67% |
| 36-40 | 5.80% |
| 40+ | 5.80% |
| Salary Range | Percentage (%) |
|---|---|
| 0-20K | 15.22% |
| 20K-30K | 28.26% |
| 30K-40K | 24.64% |
| 40K-50K | 7.97% |
| 50K+ | 23.91% |
| Experience Range | Percentage (%) |
|---|---|
| 0 years (Freshers) | 28.26% |
| 0.1 - 1 years | 12.32% |
| 1.1 - 3 years | 20.29% |
| 3.1 - 5 years | 15.22% |
| 5+ years | 23.91% |