Web Scraping Tutorial with Scrapy and Python for Beginners - Saving Data to MongoDB

This tutorial explains how to connect to a MongoDB database using Python, set up the necessary environment, and install required packages like PyMongo. It covers creating an item pipeline to process and store data in MongoDB, and demonstrates running a Scrapy spider to verify data storage.

What is the first step in connecting to a MongoDB database?

• Select the Python version

• Create a database user

• Whitelist the IP address

• Choose a connection method

Which package is essential for integrating Python with MongoDB?

• PyMongo

• NumPy

• Django

• Flask

What should you do if you encounter errors with PyMongo?

• Reinstall Python

• Install the server subpackage

• Update the operating system

• Change the database

How do you provide the connection string to the Mongo client?

• As a command line argument

• In a configuration file

• Through a GUI

• As a keyword argument

What method is used to insert data into a MongoDB collection?

• addData()

• storeItem()

• putData()

• insertOne()

Why is it important to close the database connection after use?

• To increase speed

• To save memory

• To prevent data loss

• To avoid unnecessary server load

What should you check after running the spider to ensure data is stored?

• The network connection

• The server logs

• The database for new entries

• The Python console