Hackernews-Scraping

Business Requirements:

1. Scrape TheHackernews.com and store the result (Description, Image, Title, Url) in mongo db
2. Maintain two relations - 1 with the url and title of the blog and other one with url and its meta data like (Description, Image, Title, Author)

Requirements:

• python3
• pip
• python libraries: _ requests _ BeautifulSoup4 _ pymongo _ jupyterlab * notebook
• MongoDB
• git

To run the application on your local machine:

Clone the repository:

1. Type the following in your terminal

   git clone https://github.com/pushp1997/Hackernews-Scraping.git

2. Change the directory into the repository

   cd ./Hackernews-Scraping

3. Create python virtual environment

   python3 -m venv ./scrapeVenv

4. Activate the virtual environment created

   • On linux / MacOS : source ./scrapeVenv/bin/activate
   • On Windows (cmd) : "./scrapeVenv/Scripts/activate.bat"
   • On Windows (powershell) : "./scrapeVenv/Scripts/activate.ps1"

5. Install python requirements

   pip install -r requirements.txt

6. Open the ipynb using jupyter notebook

   jupyter notebook "Hackernews Scraper.ipynb"

7. Run the notebook, you will be asked to provide inputs for no of pages to scrape to get the post and your MongoDB database URI to store the posts data.

8. Open mongodb shell connecting to the same URI you provided to the ipynb notebook while running it.

9. Change the database

   use hackernews

10. Print the documents in the 'url-title' collection

    db["url-title"].find().pretty()

11. Print the documents in the 'url-others' collection

    db["url-others"].find().pretty()