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Python Web Scraping

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Python Web Scraping

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1. Which code snippet will create a custom pipeline class that will return a warning when no header is found in the SpiderPerson spider, but -will still return the item

class pipelineProcessorWarning(item) :pythondef processer_item(SpiderPerson):SpiderPerson.logger.warn('{0}'.format(item.get('header', 'No header was found')))class pipelineProcessorWarning(object):pythonprocess_item(self, item, SpiderPerson):SpiderPerson.logger.warn('{0}'.format(item.get('header', 'No header was found')))return objectFunction(pipelineProcessorWarning(object)) :pythonmethod class process_item(self, item, SpiderPerson):SpiderPerson. logger .warn('{@}'.format(item.get('header', 'No header was found')))return objectclass pipelineProcessorWarning(object):pythondef process_item(self, item, SpiderPerson):SpiderPerson. logger .warn('{@}'.format(item.get('header', 'No header was found')))return item

2. You need to find all 'hl' header attributes in a web page. How can this be accomplished using Beautiful Soup?

soup.find_all('hi'.[attrs]) to return all hl headers attributes.soup.find_all('h1').attrs to return all hl header attributes.soup.find('h1').attrs to return all hl header attributes.soup.find_all('h1').[attribute] to return all hl headers attributes.

3. You create a web scraping application that uses Beautiful Soup to scrape information from a media webpage. A co-worker uses a different scraping library to -scrape the same webpage; however, their resulting dataset is
different than yours. How could this have happened

Different parsers create different HTML/XML documents.Different web standards could create different parsed documents.Different versions of Beautiful Soup create different parsed documents.Different versions of Python create different parsed documents.

4. When might you want to use the html5lib parser with Beautiful Soup?

To avoid external library dependenciesTo parse older page elements like headers and listsTo parse newer page elements like XML and JSNTo create valid objects from HTML5 when parsing

5. What is a supported parser for Beautiful Soup?

html.parserhtmllibIparserxml.parse

6. What is currently the only supported parser in Beautiful Soup for dealing with extensible markup language?

json.parserhtml. parserLxml-xmlhtm151ib

7. You need to search through a long HTML document and find all of the mentioned numbers. How could you utilize Beautiful Soup and regex to -parse for this specific data

Use Beautiful Soup's find_all() method to look for values with a regex of (\s) or [\t\n\r\f\v] to grab all decimal values.Use Beautiful Soup's find_all() method to look for values with a regex of (\d) or [0-9] to grab all decimal values.Use Beautiful Soup's find_all() method to look for values with a regex of (\W) or [^a-zA-Z0-9_] to grab all decimal values.Use Beautiful Soup's find_all() method to look for values with a regex of (\D) or [^0-9] to grab all decimal values.

8. Which line of code is next when trying to discover the content type?
python
r = requests.get('https://api.github.com/user', auth=('user', 'pass'))

return ['content-type']r.headers[ 'content-type']r.['content-type']r.get['content-type']

9. What is true regarding overriding pipeline methods?

nly the data store method can be overriddenAll pipeline methods can be overriddennly private pipeline methods can be overriddennly one method can be overridden when using Beautiful Soup

10. Which procedure generally does not apply to web scraping analytical data from a web page?

Importing data into a web page using the urllib libraryCleaning HTML data by stripping or replacing unnecessary dataExporting results to an external files, such as a CSV, XML, or JSNAccessing the tag names of the HTML using name

11. What is currently the only supported parser in Beautiful Soup for dealing with extensible markup language?

json.parserhtml. parserLxml-xmlhtm151ib

12. You create a web scraping application that uses Beautiful Soup to scrape information from a media webpage. A co-worker uses a different scraping library to -scrape the same webpage; however, their resulting dataset is
different than yours. How could this have happened

Different web standards could create different parsed documents.Different versions of Beautiful Soup create different parsed documents.Different versions of Python create different parsed documents.Different parsers create different HTML/XML documents.

13. What do the following lines of code produce?
python
soup = Beautiful Soup(

link

)
soup.find('a')

Wikipedia link https://wmw.wikipedia.orglink

14. When attempting to download a media file using the built-in Python library urllib.request , what step comes after opening the URL file?

Read the file with .ingest()Read the url file with .read()Save the file with .save()Parse the file with .parse()

15. You need to search through a long HTML document and find all of the mentioned numbers. How could you utilize Beautiful Soup and regex to -parse for this specific data

Use Beautiful Soup's find_all() method to look for values with a regex of (\W) or [^a-zA-Z0-9_] to grab all decimal values.Use Beautiful Soup's find_all() method to look for values with a regex of (\d) or [0-9] to grab all decimal values.Use Beautiful Soup's find_all() method to look for values with a regex of (\s) or [\t\n\r\f\v] to grab all decimal values.Use Beautiful Soup's find_all() method to look for values with a regex of (\D) or [^0-9] to grab all decimal values.

16. Which type of classes can be defined in Scrapy to scrape data from a website?

Scratch ClassCrawler ClassSpider ClassKnife Class

17. Which type of classes can be defined in Scrapy to scrape data from a website?

Knife ClassScratch ClassCrawler ClassSpider Class

18. When might you want to use the html5lib parser with Beautiful Soup?

To parse newer page elements like XML and JSNTo create valid objects from HTML5 when parsingTo parse older page elements like headers and listsTo avoid external library dependencies

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Without work one finishes nothing. - Ralph Waldo Emerson
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