Data collection: Identifying websites and data sources for data extraction and designing data collection strategies.

Web scraping: Building web scrapers using different tools and programming languages such as Python, Scrapy, Beautiful Soup, Selenium, and Puppeteer.

Data cleaning and preprocessing: Cleaning and preprocessing the scraped data to remove any irrelevant or erroneous data and transforming the data into a structured format suitable for analysis.

Data storage and management: Setting up databases to store the scraped data and developing APIs to enable data retrieval and management.

Custom data extraction: Providing custom data extraction solutions for clients with specific data requirements.

Data analysis and visualization: Conducting data analysis and creating visualizations to help clients gain insights from the scraped data.

Data monitoring and maintenance: Monitoring data sources for changes and maintaining web scrapers to ensure their continued functionality.