Web Scraping Tutorial with Scrapy and Python for Beginners - Extract Data from HTML Tables

Web Scraping Tutorial with Scrapy and Python for Beginners - Extract Data from HTML Tables

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial explains how to extract data from an HTML table by creating a dictionary using table headings as keys and corresponding data as values. It demonstrates running a Scrapy spider to extract data from a webpage and viewing the extracted data in a code editor. The process involves setting up a dictionary, running the spider, and inspecting the results.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the initial step in extracting data from an HTML table?

Writing data to a file

Using a JSON object

Initializing an empty dictionary

Creating a list of product details

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How are table headings used in the dictionary?

As keys

As values

As indices

As comments

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What command is used to run the spider for data extraction?

Data extract

Spider run

Scrapy crawl

Scrapy start

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of yielding the product details?

To save them to a file

To view them in the terminal

To delete them

To send them to a server

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the extracted data structured in the code editor?

As a JSON array

As a plain text file

As a list of strings

As a dictionary with key-value pairs

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