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This document describes Mercator, a scalable and extensible web crawler implemented in Java, detailing its architecture, components, performance, and extensibility features.
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How to fill out Mercator: A Scalable, Extensible Web Crawler

01
Download the Mercator software package from the official website.
02
Follow the installation instructions provided in the documentation.
03
Configure the crawler settings, such as defining the scope and depth of crawling.
04
Set the target URLs or domains you wish to crawl.
05
Adjust the rate of requests to avoid overloading target servers.
06
Specify the data extraction rules to determine what information to collect.
07
Test the configuration with a small batch of URLs to ensure proper functioning.
08
Launch the crawler and monitor its progress through the provided interface.
09
Review the extracted data and adjust the parameters as needed for better results.

Who needs Mercator: A Scalable, Extensible Web Crawler?

01
Web developers looking to gather data for analysis.
02
Research organizations needing to collect large amounts of web data.
03
Businesses wanting to monitor competitors' websites.
04
SEO professionals aiming to analyze website structures and content.
05
Data scientists focused on web scraping for machine learning projects.
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Mercator is a web crawler designed to efficiently and effectively gather data from the internet. It is scalable, meaning it can handle large volumes of data, and extensible, allowing for customization and adaptation to various web crawling tasks.
Individuals or organizations that use the Mercator crawler for web data harvesting or scraping may need to file it, depending on local laws and regulations governing data collection practices.
To fill out Mercator, users typically must provide configuration details such as target URLs, data extraction criteria, and other parameters specific to their crawling objectives. This information enables the software to function optimally according to user needs.
The primary purpose of Mercator is to automate the process of web data collection, making it easier to scrape information from various web sources for research, analysis, or other applications.
Users must report the URLs targeted for crawling, the types of data extracted, the frequency of data collection, and compliance with web scraping regulations. Additionally, logging details on crawling activities may be required for transparency.
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