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Web Scraping Services
1. B2B lead generation data
2. Data extraction from any website
3. E-commerce product scraping
4. Google Maps Scraping business data
5. Competitor analysis data
6. Market research data
7. Real estate property data scraping
8. Email extraction & Email scraping
9. Yellow Pages, Yelp, industry-specific Business directory scraping
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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I designed a Business Intelligence and financial reporting solution that transforms scattered data from multiple sources into centralized, validated, and decision-ready information.
The solution automates the complete reporting workflow: connecting and consolidating data, cleaning and standardizing information, applying business rules, building a structured data model, calculating financial KPIs, and generating executive dashboards and recurring reports.
Instead of manually combining spreadsheets and preparing reports every reporting period, the workflow creates a repeatable data pipeline that reduces manual work while improving consistency, traceability, and visibility.
Key capabilities include:
Multi-source data consolidation
Automated ETL and data transformation
Data validation and quality controls
Power Pivot data modeling
Financial KPI calculations
Interactive executive dashboards
Automated and scheduled reporting
Exception and duplicate detection
Audit trails and process traceability
Technologies: Excel, Power Query, Power Pivot, VBA, DAX, SQL/CSV data sources and automated reporting workflows.
The goal of the project is not simply to create a dashboard, but to build the automated data process behind it — turning raw information into reliable insights that can support faster business decisions.
All information, companies and metrics displayed in this case study are fictional demo data created exclusively for portfolio purposes.
Just wrapped up a 3-hour meeting with a lead who is now officially a client 😊
I went into the meeting feeling pretty nervous. The project had great potential, and I was slightly concerned that budget might become a sticking point.
But the conversation went better than I could have expected. They were really impressed with the project overview, architecture, and the level of attention to detail we brought to the table. The best part? They didn’t even try to negotiate the price.
Such a great reminder that when clients clearly see the thought, planning, and value behind the work, the conversation becomes much less about cost.
Really excited to kick things off next week! 🚀
I think the project overview did the pricing work before the number came up. Showing the hard decisions early ties the fee to fewer surprises instead of a pile of hours.
eBay Competitor Tracker & Product Data Extraction Tool
Built a Python-based web scraping and browser automation tool for extracting structured product and competitor data from eBay.
The tool accepts a search keyword, eBay country/market, and product limit, then uses Playwright and Chromium to collect detailed public listing information, including product titles, prices, shipping costs, total prices, currency, condition, seller information, feedback, item location, number sold, watchers, listing type, time remaining, product URLs, and image URLs.
It supports 8 eBay markets and handles pagination, duplicate listings, locale-specific price formats, retries, and logging.
The scraper generates Excel, CSV, and JSON outputs. The Excel workbook also includes an analytics sheet for summarizing pricing and seller information.
I also implemented responsible scraping practices, including configurable delays and retry/backoff handling, without using account login, CAPTCHA solving, fingerprint spoofing, or proxy rotation to bypass restrictions.
Tech: Python, Playwright, Chromium, BeautifulSoup, openpyxl, JSON, CSV.
