A Data Scraper is a professional who uses specialized software or scripts to extract data from websites, databases, or online sources. This data is typically unstructured, and the scraper organizes it into a structured format, like spreadsheets or databases, for analysis, research, or business purposes.

Key responsibilities of a Data Scraper include:

– Extracting data: Using tools, such as web scraping software or custom scripts, to collect data from websites, online directories, or APIs.
– Organizing and structuring data: Converting raw data into a clean, structured format, such as CSV, Excel, or database entries, for easier analysis or use.
– Handling large data sets: Scraping vast amounts of data efficiently while ensuring that it remains organized and usable.
– Monitoring website changes: Ensuring that data scraping processes continue to work smoothly even when websites update their layouts or structures.
– Ensuring compliance: Following legal and ethical guidelines, including respecting website terms of service, privacy policies, and copyright laws.
– Data validation and cleaning: Ensuring the data scraped is accurate, removing duplicates, and correcting errors where needed.

Data Scrapers are crucial for businesses or researchers who need to gather large amounts of data from various sources for competitive analysis, market research, price monitoring, and more.