cannibalization.ipynb

Awesome Notebook!

For those who want to automate the process everyday you can also use this bit of code to log in via JSON instead of OAuth.

To download your JSON file in console.developers.google.com > credentials and click on the download arrow. Rename your file client_secrets.json and run the code below.

import pandas as pd
import datetime
import httplib2
from apiclient.discovery import build
import qgrid
from collections import defaultdict
from dateutil import relativedelta
import requests
from bs4 import BeautifulSoup
import argparse
from oauth2client import client
from oauth2client import file
from oauth2client import tools

site = 'https://www.example.com'`

SCOPES = ['https://www.googleapis.com/auth/webmasters.readonly']
DISCOVERY_URI = ('https://www.googleapis.com/discovery/v1/apis/customsearch/v1/rest')

CLIENT_SECRETS_PATH = r'C:\Users\YOUR_PATH\client_secrets.json' # Path to client_secrets.json file.

parser = argparse.ArgumentParser(
    formatter_class=argparse.RawDescriptionHelpFormatter,
    parents=[tools.argparser])
flags = parser.parse_args([])

flow = client.flow_from_clientsecrets(
    CLIENT_SECRETS_PATH, scope=SCOPES,
    message=tools.message_if_missing(CLIENT_SECRETS_PATH))

storage = file.Storage(r'C:\Users\YOUR_PATH\searchconsolereporting.dat')
credentials = storage.get()

if credentials is None or credentials.invalid:
  credentials = tools.run_flow(flow, storage, flags)
http = credentials.authorize(http=httplib2.Http())

webmasters_service = build('webmasters', 'v3', http=http)

end_date = datetime.date.today()
start_date = end_date - relativedelta.relativedelta(months=3)

def execute_request(service, property_uri, request):
    return service.searchanalytics().query(siteUrl=property_uri, body=request).execute()

"""
Complete with the code above
"""

To automate, export to mysql or csv and use Windows task scheduler to run the task everyday.

@natzir thanks for the script, but I have an issue that the last step is running endless

@anasshabrah you have to wait, the script is crawling all the urls and doing the extraction.