Beschreibung

Hi,

I’m Sujan, a web scraping and B2B lead generation expert with extensive experience in delivering high-value, accurate, and up-to-date data for your business.

Using premium tools and strategies, I extract data from complex websites, business directories, social media platforms, and other sources—turning them into actionable, high-target leads that help you grow your sales pipeline.

✅ My services include:

B2B Lead Generation (with company details, phone, email, and other key data)
Web Scraping for Product, Market, or Customer Research
Database Enrichment with Verified Contact Information
Large-Volume Data Extraction with 100% Accuracy
With my expertise, you can connect directly with your prospective clients and make your marketing campaigns more effective.

Let's collaborate and grow together!

Sprachen

Französisch
Muttersprachlich oder zweisprachig

Arbeitsortpräferenzen

Nur remote

Führt Projekte hauptsächlich remote aus

The Good Goods
Web Scraper
IMMOBILIEN
Dezember 2018 - Heute (7 Jahre und 6 Monate)
Dacca, Bangladesch
At The Good Goods, I specialize in building and maintaining custom web scraping solutions to collect high-value data across various platforms related to sustainable fashion and eco-conscious businesses. My work supports the company’s mission by delivering clean, structured, and actionable datasets that drive market insights, research, and business development.

Key Responsibilities:

Develop and deploy Python-based scraping scripts using tools such as BeautifulSoup, Selenium, and Scrapy.

Extract structured data (e.g., brand information, product listings, sustainability metrics) from e-commerce sites, directories, and public databases.

Implement data validation, deduplication, and cleaning routines to ensure accuracy and quality.

Bypass anti-scraping technologies like CAPTCHAs and dynamic content loading using smart automation techniques.

Deliver data in usable formats (CSV, Excel, JSON) for integration into internal dashboards and analytics tools.

Collaborate with marketing, research, and product teams to customize data collection strategies based on business goals.

Achievements:

Successfully built automated pipelines for continuous data extraction from over 50 sustainable fashion platforms.

Improved data delivery time by 40% by optimizing scraping scripts and streamlining workflows.

Ensured 99% data accuracy across large datasets used in sustainability reports and brand rankings.