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Web-Scraping

This repository contains Web Scraping Projects using Python

  • To begin using project, create a virtual environment:
python -m venv /path/to/new/virtual/environment
  • Activate the Virtual Environment (command can vary on Windows or Linux based systems).
source </path/to/new/virtual/environment>/bin/activate
  • For instance:
python -m venv .scrape
source .scrape/bin/activate
  • Install the dependencies: pip install -r requirements.txt

Learn Basics of Scraping by referring to Web Scraping.ipynb


Projects

Live Projects

  • WikiCompanies: This project utilizes Scrapy aims to scrape all US companies and its firmographics data from the Wikipedia infobox.

  • BuySellUnlistedShares: A simple web scraping script using BeautifulSoap that aims to scrape unlisted companies of India from URL: https://buysellunlistedshares.com/.

  • AZLyrics: Using BeautifulSoap and Selenium, this project aims to scrape music information such as artists, albums, songs, and lyrics from URL: https://azlyrics.com/.

Unsupported Projects (Deprecated)

  • Rurash Financials: This is a Selenium based web scraping script that aims to scrape unlisted companies of India from URL: https://rurashfin.com/unlisted-shares-list/.

  • UnlistedDeal: This is a Selenium based web scraping script that aims to scrape unlisted companies of India from URL: https://www.unlisteddeal.com/unlisted-share/.

  • UnlistedZoneShares: This is a Scrapy project that aims to scrape unlisted companies of India from URL: https://unlistedzone.com/shares/.

  • WWIPL: This is a Selenium based project that aims to scrape unlisted companies of India from URL: https://wwipl.com/.

  • UnlistedShareBrokers: This is a Selenium based web scraping script that aims to scrape unlisted companies of India from URL: https://www.unlistedsharebrokers.com/.


Getting Started with Scrapy

  • To create a new project, run the following command in the terminal: scrapy startproject my_first_spider

  • To create a new spider, first change the directory: cd my_first_spider

  • Create a spider: scrapy genspider example example.com. When we create a spider, we obtain a Basic Template. The class is built with the data we introduced in the previous command, but the parse method needs to be built by us.

  • Run the spider and export data to CSV or JSON

scrapy crawl example
scrapy crawl example -o name_of_file.csv
scrapy crawl example -o name_of_file.json

• Scrapy Directory

Directory Diagram of Scrapy directory_scrapy.png

• Scraping Flow

Process flow of the scraping process. flowchart.png

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Web Scraping Projects using Python

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