Python: Data Scraping

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chinchong79 Posts 3 Registration date Thursday May 4, 2023 Status Member Last seen May 10, 2023 - Updated on Jun 30, 2023 at 05:12 AM
nafi_ullah Posts 1 Registration date Tuesday June 20, 2023 Status Member Last seen June 20, 2023 - Jun 20, 2023 at 03:44 PM

I'm interested in understanding the data scraping mechanism used by this website (lottery results). Could you please provide details on how the website retrieves and extracts data from external sources?

Specifically, I would like to know:
1. What libraries, frameworks, or tools are utilized for data scraping?
2. Are there any APIs involved in the data retrieval process?
3. How does the website handle data extraction from different types of sources (e.g., websites, databases)?
4. Are there any specific algorithms or techniques employed to parse and structure the scraped data?
 

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2 responses

HelpiOS Posts 14336 Registration date Friday October 30, 2015 Status Moderator Last seen May 19, 2024 1,885
May 12, 2023 at 08:49 AM

Hi,

This guide should help you to understand how Web Scraping works.


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nafi_ullah Posts 1 Registration date Tuesday June 20, 2023 Status Member Last seen June 20, 2023
Updated on Jun 20, 2023 at 04:38 PM

In general, websites typically utilize libraries, frameworks, or tools such as Beautiful Soup, Scrapy, or Selenium for data scraping tasks.

These tools assist in fetching web pages, extracting data, and parsing HTML or XML content. Some websites may rely on APIs to retrieve data in a structured format if they are available.

Data extraction from websites usually involves fetching HTML content and utilizing techniques like HTML parsing to identify relevant data elements and extract the desired information. The handling of data extraction from databases or other sources may vary depending on the specific implementation. Algorithms or techniques employed to parse and structure the scraped data can range from basic HTML parsing to more advanced approaches like regular expressions or machine learning-based methods, depending on the complexity and structure of the data being scraped.

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