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Web Scraping: Data Collection and Analysis – Dr. Richard Landers

Session I Web Scraping: Data Collection and Analysis – Dr. Richard Landers

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Question 1 of 22

1. Question
What is the key difference between data wrangling and data cleaning?
- Data cleaning focuses on ensuring data validity, while data wrangling involves restructuring raw data for research use
- Data wrangling involves correcting typos, while data cleaning does not
- Data wrangling is only applicable to small datasets
- Data cleaning is used after analysis, while data wrangling is used before
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Question 2 of 22

2. Question
Which of the following statements is TRUE about web scraping sources?
- Web scraping can be legally done from any public available government platform
- Only social media platforms allow scraping for research
- Web scraping is limited to platforms that provide an API
- Scraping is only legal if user profiles are included
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Question 3 of 22

3. Question
What is range restriction in the context of web scraping data?
- When your data sample lacks full variability due to platform-specific audience characteristics
- When you can only scrape data during a limited time window
- When a platform restricts access based on user subscriptions
- When certain demographic groups are removed during cleaning
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Question 4 of 22

4. Question
Which of the following lists the correct sequence of steps to run a scraping project?
- Develop RQs → Evaluate sources → Develop coding system → Code scraper → Clean data → Analyze
- Analyze → Clean data → Write scraper → Formulate hypotheses
- Clean data → Develop RQs → Analyze data → Publish results
- Identify API → Analyze → Revise DST → Visualize
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Question 5 of 22

5. Question
What is/are common goal(s) of using scraped data in research?
- All of these
- Generate large, diverse datasets
- Study real-world behavior at scale
- Test hypotheses that otherwise cannot be tested
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Question 6 of 22

6. Question
Which of the following is an example of a Top-Level Domain (TLD)?
- .edu
- www.example.com/page.html
- http
- google
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Question 7 of 22

7. Question
What is the role of HTML in how a browser displays a webpage?
- It provides structural instructions and data for the browser
- It encrypts the page for secure transfer
- It stores user data
- It filters spam from websites
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Question 8 of 22

8. Question
Which of the following tags is best used to emphasize text by making it appear bold in HTML?
- <strong>
- <italic>
- <bold>
- <font=bold>
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Question 9 of 22

9. Question
Which of the following Google Chrome extensions should be used during no-code web scraping?
- All of these are correct
- Instant Data Scraper
- Selector Gadget
- Chris Pederick’s Web Developer
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Question 10 of 22

10. Question
Which method is the easiest but least flexible way to extract data from a webpage?
- Scraping using a web browser extension
- Using R to access an API
- Writing your own Python scraper
- Hiring a vendor for scraping
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Question 11 of 22

11. Question
What does the Developer Tools panel in Google Chrome help you view?
- The HTML and resources loaded by a webpage
- Access history of a website
- Security settings of the browser
- The amount of data a user has consumed
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Question 12 of 22

12. Question
What is a key legal consideration when scraping data from a website?
- The website’s terms of service
- The website’s use of CSS
- The website’s preferred browser
- The website’s use of JavaScript
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Question 13 of 22

13. Question
What is the primary purpose of an API as described in the workshop?
- To provide a data gateway into someone else’s system for real-time access
- To scrape websites without permission
- To replace web scraping entirely
- To create static HTML pages
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Question 14 of 22

14. Question
What is a key ethical consideration when web scraping publicly available data?
- It may be ethical but still illegal if it violates terms of service
- It is always ethical and legal
- It requires no consideration of website policies
- It is only ethical if done behind a login wall
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Question 15 of 22

15. Question
What regex pattern would correctly match names followed by a comma, space, and a four-digit year (e.g., “John, 1980; Ashley, 1945”)?
- [A-Za-z]+,\s\d{4}
- \w+,\d{4}
- [A-Z][a-z]+,\s[0-9]{4}
- \w,\s\d{4}
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Question 16 of 22

16. Question
In R, how should a regex pattern like \d be written to account for the backslash?
- \\d
- \d
- \\\d
- \d\
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Question 17 of 22

17. Question
What is the disadvantage of using a no-code cloud-based scraping tool like Octoparse?
- It can be expensive and does exactly what you tell it to
- It cannot handle CAPTCHAs
- It is always free
- It requires advanced programming skills
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Question 18 of 22

18. Question
What should you do to avoid being treated like a hacker when web scraping?
- Set per-page delays and self-identify as a researcher with an email
- Scrape as quickly as possible without delays
- Ignore API documentation
- Use a login wall to access data
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Question 19 of 22

19. Question
Which regex pattern in R would correctly extract the year from “John, 1980; Ashley, 1945” when used with str_match?
- (\\w+),\\s(\\d{4})
- \\w+,\\s\\d{4}
- [A-Z][a-z]+,\\s[0-9]{4}
- ([A-Za-z]+),\\s\\d{4}
Correct

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Question 20 of 22

20. Question
Which tool can be used for generating a sitemap by crawling a website?
- GSite Crawler
- HTTrack
- Octoparse
- SelectorGadget
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Question 21 of 22

21. Question
You want to extract dates in the format MM/DD/YYYY from “01/15/2021, 12/31/2022”. Which regex would you use?
- \d{2}/\d{2}/\d{4}
- \d+/\d+/\d+
- \d{1,2}/\d{1,2}/\d{4}
- \d{2}-\d{2}-\d{4}
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Question 22 of 22

22. Question
What regex would capture email addresses from the string: “Contact us at info@example.com or support@site.org”?
- \w+@\w+\.\w+
- @\w+
- \w+@\w+
- .+@.+
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By Rebecca Velez|2025-06-05T16:49:02-04:00June 5th, 2025|Comments Off on Web Scraping: Data Collection and Analysis – Dr. Richard Landers

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