Google might be blocking your request due to the default user-agent being set to python-requests. To avoid this, check your user-agent to prevent your request from being blocked and receiving inconsistent HTML with different elements and selectors. Sometimes, changing the user-agent might result in a different HTML response with varied selectors.
It is beneficial to understand more about the user-agent and HTTP request headers.
Include the user-agent in the request headers:
headers = {
'User-agent':
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582"
}
requests.get('YOUR_URL', headers=headers)
Consider using the lxml parser for faster results,install it here.
Find the code and a comprehensive example in the online IDE:
from bs4 import BeautifulSoup
import requests
headers = {
'User-agent':
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582"
}
params = {
"q": "My query goes here"
}
html = requests.get('https://www.google.com/search', headers=headers, params=params)
soup = BeautifulSoup(html.text, 'lxml')
for result in soup.select('.tF2Cxc'):
link = result.select_one('.yuRUbf a')['href']
print(link)
-----
'''
https://dev.mysql.com/doc/refman/8.0/en/entering-queries.html
https://www.benlcollins.com/spreadsheets/google-sheets-query-sql/
https://www.exoscale.com/syslog/explaining-mysql-queries/
https://blog.hubspot.com/marketing/sql-tutorial-introduction
https://mode.com/sql-tutorial/sql-sub-queries/
https://www.mssqltips.com/sqlservertip/1255/getting-io-and-time-statistics-for-sql-server-queries/
https://stackoverflow.com/questions/2698401/how-to-store-mysql-query-results-in-another-table
https://www.khanacademy.org/computing/computer-programming/sql/relational-queries-in-sql/a/more-efficient-sql-with-query-planning-and-optimization
http://cidrdb.org/cidr2011/Papers/CIDR11_Paper7.pdf
https://www.sommarskog.se/query-plan-mysteries.html
'''
Another approach is to utilize the Google Organic Results API from SerpApi. This is a paid API with a free plan available.
The benefit in this case is that you only need to extract the desired data from a JSON string without worrying about handling or circumventing Google blocks.
Integrate the following code:
params = {
"engine": "google",
"q": "My query goes here",
"hl": "en",
"api_key": os.getenv("API_KEY"),
}
search = GoogleSearch(params)
results = search.get_dict()
for result in results["organic_results"]:
print(result['link'])
-------
'''
https://dev.mysql.com/doc/refman/8.0/en/entering-queries.html
https://www.benlcollins.com/spreadsheets/google-sheets-query-sql/
https://www.exoscale.com/syslog/explaining-mysql-queries/
https://blog.hubspot.com/marketing/sql-tutorial-introduction
https://mode.com/sql-tutorial/sql-sub-queries/
https://www.mssqltips.com/sqlservertip/1255/getting-io-and-time-statistics-for-sql-server-queries/
https://stackoverflow.com/questions/2698401/how-to-store-mysql-query-results-in-another-table
https://www.khanacademy.org/computing/computer-programming/sql/relational-queries-in-sql/a/more-efficient-sql-with-query-planning-and-optimization
http://cidrdb.org/cidr2011/Papers/CIDR11_Paper7.pdf
https://www.sommarskog.se/query-plan-mysteries.html
'''
Full Disclosure: I am associated with SerpApi.