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Scraping

AnalyticsTrade Team
AnalyticsTrade Team Last updated on 26 Apr 2023

Table of Contents

Scraping

Scraping is the process of extracting data from websites or other sources. It is a technique used to gather large amounts of data from websites, which can then be used for various purposes such as research, data analysis, or machine learning. Scraping can be done manually or with the help of automated tools. It is a powerful tool for data collection and can be used to extract data from websites that do not provide an API or other means of data access.

History of Scraping

The concept of scraping has been around since the early days of the internet. It was initially used to collect data from webpages, but has since evolved to include other sources such as databases and APIs. Scraping is now used by businesses, researchers, and individuals to gather data from a variety of sources. It is a powerful tool for data collection and can be used to extract data from websites that do not provide an API or other means of data access.

Comparison Table

Scraping API
Manual or automated Automated
Data extraction from websites Data access from websites
Data extraction from databases Data access from databases
Data extraction from APIs Data access from APIs

Summary

Scraping is a powerful tool for data collection and can be used to extract data from websites that do not provide an API or other means of data access. It is a technique used to gather large amounts of data from websites, which can then be used for various purposes such as research, data analysis, or machine learning. For more information about scraping, you can visit websites such as Scrapinghub, Scrapy, and ParseHub.

See Also

  • Data Mining
  • Web Crawling
  • Data Extraction
  • Web Scraping
  • Data Scraping
  • API Integration
  • Data Aggregation
  • Data Wrangling
  • Data Visualization
  • Data Analysis

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