Success Story – Python Scrapy Consulting
How a top underwriting decision platform successfully and affordably extracted data from over 5,000 government websites.
The client, from the Research & Analytics sector, needed a tailored e-commerce product scraper to get real-time e-commerce data feeds.
Challenge
The organization was manually gathering data from various online sources, leading to high costs and inefficiencies. This traditional method took days or even weeks to complete, and human errors further hindered productivity. Additionally, the lack of a unified structure for data across different sources created inconsistencies and made analysis more difficult. The entire process was slow, error-prone, and complicated, impacting overall efficiency and decision-making.
Solution
We provided expert help to scrape data from 5,000 websites. We worked together to create the scraping script, schedule the scraping jobs, integrate the data with your existing system, and maintain the software scripts. We also handled quality assurance, bug fixes, server and infrastructure management, and provided 24/7 support.
Impact
- Deliver precise, clean, and timely data on a regular basis.
- Minimize risk with expert consultation.
- Collect billions of data points across all U.S. states.
- Help clients focus on their core business through a collaborative approach.
- Boost productivity with coverage from over 5,000 online sources.
- Lower overall operational costs.
