CLIENT LOVES
- Role-Specific User Access
- Automated Scraping with Scrapy and Selenium
- Data Normalization with Pandas
- Efficient Workflow Automation with Apache Airflow
- Scalability and Efficiency for Large Websites
HOW WE DELIVERED
- Role-Specific User Access and Management
- Automated Scraping with Scrapy and Selenium
- Data Cleaning and Organization using Pandas
- Workflow Automation with Apache Airflow
- Scalability for Large, Complex Websites
INDUSTRY
IoT
LINK
Lynk - Android & iOS Application Platform
Project Goal – Web Scraping Automation for Data Accuracy
The Scraping Automation project aims to automate web scraping with Scrapy, Selenium, and Apache Airflow, focusing on efficient, accurate, and timely data collection and organization.
Overcome Challenge – Large and Interactive Websites, Data Consistency
Extracting information from vast and dynamic websites.
Processing and normalizing data from different sources for consistency.
Ensuring uniformity and coherence for accurate analysis and database integration.
Most Prominent Feature – Automated Scraping with Scrapy and Selenium
The key feature of the Scraping Automation project is its automated data extraction using Scrapy and Selenium, enhancing efficiency in gathering data from complex websites and aligning with goals of accuracy and timeliness.
https://www.youtube.com/watch?v=guW9xvcp4Rk
“BitCot's ability to work with diverse modern technologies, their willingness to understand our needs and their eagerness to help us accomplish our goals have been instrumental.
As CTO at PartnerHere I've relied heavily upon them to develop our custom software, integrate it with a variety of 3rd party vendors and then deliver the entire system to our end-users via the cloud -- all on a tight budget.”
Ian F. HoodPartnerHere
Tech Stack
Some technologies used for this project
