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Python Web Scraping: Get the number of datasets currently listed on data.gov

Python Web Scraping: Exercise-3 with Solution

Write a Python program to get the number of datasets currently listed on data.gov.

Sample Solution:

Python Code:

from lxml import html
import requests
response = requests.get('https://www.data.gov/')
doc_gov = html.fromstring(response.text)
link_gov = doc_gov.cssselect('small a')[0]
print("Number of datasets currently listed on data.gov:")
print(link_gov.text)

Sample Output:

Number of datasets currently listed on data.gov:
285,397 datasets

Flowchart:

Python Web Scraping Flowchart: Get the number of datasets currently listed on data.gov

Python Code Editor:

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Python: Tips of the Day

Find current directory and file's directory:

To get the full path to the directory a Python file is contained in, write this in that file:

import os 
dir_path = os.path.dirname(os.path.realpath(__file__))

(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)

To get the current working directory use

import os
cwd = os.getcwd()

Documentation references for the modules, constants and functions used above:

  • The os and os.path modules.
  • The __file__ constant
  • os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
  • os.path.dirname(path) (returns "the directory name of pathname path")
  • os.getcwd() (returns "a string representing the current working directory")
  • os.chdir(path) ("change the current working directory to path")

Ref: https://bit.ly/3fy0R6m