An alert or notification is an automated message that informs you when specific conditions are met in your web scraping workflow, such as data changes, new content, or scraper failures.

Change detection automatically monitors websites to identify when content has been added, removed, or modified, alerting you to important updates without manual checking.

Request headers are key-value pairs sent with HTTP requests that identify your client and preferences. In web scraping, proper headers help your requests appear legitimate and control the data format you receive.

IP blocking is a security measure websites use to restrict access from specific IP addresses, commonly triggered by excessive requests or bot-like behavior during web scraping.

Data cleaning transforms raw scraped data into accurate, consistent information by removing errors, duplicates, and formatting issues so your data is ready for analysis and automation.

A headless browser is a web browser that runs without a graphical interface, executing JavaScript and rendering pages in the background to enable scraping of dynamic, JavaScript-heavy websites.

Queue management organizes web scraping tasks through a controlled queue system, handling scheduling, rate limiting, and task distribution to enable reliable large-scale data extraction.

Concurrent requests allow web scrapers to send multiple HTTP requests simultaneously, dramatically reducing scraping time while requiring careful management to avoid blocks and server overload.

Delay and throttling control how fast your web scraper sends requests. These techniques help you avoid rate limits, prevent server overload, and reduce the risk of getting blocked while extracting data.

Cookie management controls how your web scraper handles, stores, and sends HTTP cookies. Proper cookie handling lets you maintain login sessions, access protected content, and avoid bot detection when extracting data from websites.