yagooglesearch is a Python library for executing intelligent, realistic-looking, and tunable Google searches. It
simulates real human Google search behavior to prevent rate limiting by Google (the dreaded HTTP 429 response), and if
HTTP 429 blocked by Google, logic to back off and continue trying. The library does not use the Google API and is
heavily based off the googlesearch library. The features include:
requests library for HTTP requests and cookie managementThis code is supplied as-is and you are fully responsible for how it is used. Scraping Google Search results may violate their Terms of Service. Another Python Google search library had some interesting information/discussion on it:
Google's preferred method is to use their API.
pip install yagooglesearch
git clone https://github.com/opsdisk/yagooglesearch cd yagooglesearch virtualenv -p python3 .venv # If using a virtual environment. source .venv/bin/activate # If using a virtual environment. pip install . # Reads from pyproject.toml
import yagooglesearch query = "site:github.com" client = yagooglesearch.SearchClient( query, tbs="li:1", max_search_result_urls_to_return=100, http_429_cool_off_time_in_minutes=45, http_429_cool_off_factor=1.5, # proxy="socks5h://127.0.0.1:9050", verbosity=5, verbose_output=True, # False (only URLs) or True (rank, title, description, and URL) ) client.assign_random_user_agent() urls = client.search() len(urls) for url in urls: print(url)
Even though searching Google through the GUI will display a message like "About 13,000,000 results", that does not mean
yagooglesearch will find anything close to that. Testing shows that at most, about 400 results are returned. If you
set 400 < max_search_result_urls_to_return, a warning message will be printed to the logs. See
https://github.com/opsdisk/yagooglesearch/issues/28 for the discussion.
Low and slow is the strategy when executing Google searches using yagooglesearch. If you start getting HTTP 429
responses, Google has rightfully detected you as a bot and will block your IP for a set period of time. yagooglesearch
is not able to bypass CAPTCHA, but you can do this manually by performing a Google search from a browser and proving you
are a human.
The criteria and thresholds to getting blocked is unknown, but in general, randomizing the user agent, waiting enough time between paged search results (7-17 seconds), and waiting enough time between different Google searches (30-60 seconds) should suffice. Your mileage will definitely vary though. Using this library with Tor will likely get you blocked quickly.
If yagooglesearch detects an HTTP 429 response from Google, it will sleep for http_429_cool_off_time_in_minutes
minutes and then try again. Each time an HTTP 429 is detected, it increases the wait time by a factor of
http_429_cool_off_factor.
The goal is to have yagooglesearch worry about HTTP 429 detection and recovery and not put the burden on the script
using it.
If you do not want yagooglesearch to handle HTTP 429s and would rather handle it yourself, pass
yagooglesearch_manages_http_429s=False when instantiating the yagooglesearch object. If an HTTP 429 is detected, the
string "HTTP_429_DETECTED" is added to a list object that will be returned, and it's up to you on what the next step
should be. The list object will contain any URLs found before the HTTP 429 was detected.
import yagooglesearch query = "site:twitter.com" client = yagooglesearch.SearchClient( query, tbs="li:1", verbosity=4, num=10, max_search_result_urls_to_return=1000, minimum_delay_between_paged_results_in_seconds=1, yagooglesearch_manages_http_429s=False, # Add to manage HTTP 429s. ) client.assign_random_user_agent() urls = client.search() if "HTTP_429_DETECTED" in urls: print("HTTP 429 detected...it's up to you to modify your search.") # Remove HTTP_429_DETECTED from list. urls.remove("HTTP_429_DETECTED") print("URLs found before HTTP 429 detected...") for url in urls: print(url)

yagooglesearch supports the use of a proxy. The provided proxy is used for the entire life cycle of the search to
make it look more human, instead of rotating through various proxies for different portions of the search. The general
search life cycle is:
google.comTo use a proxy, provide a proxy string when initializing a yagooglesearch.SearchClient object:
client = yagooglesearch.SearchClient( "site:github.com", proxy="socks5h://127.0.0.1:9050", )
Supported proxy schemes are based off those supported in the Python requests library
(https://docs.python-requests.org/en/master/user/advanced/#proxies):
httphttpssocks5 - "causes the DNS resolution to happen on the client, rather than on the proxy server." You likely do
not want this since all DNS lookups would source from where yagooglesearch is being run instead of the proxy.socks5h - "If you want to resolve the domains on the proxy server, use socks5h as the scheme." This is the best
option if you are using SOCKS because the DNS lookup and Google search is sourced from the proxy IP address.If you are using a self-signed certificate for an HTTPS proxy, you will likely need to disable SSL/TLS verification when either:
yagooglesearch.SearchClient object:import yagooglesearch query = "site:github.com" client = yagooglesearch.SearchClient( query, proxy="http://127.0.0.1:8080", verify_ssl=False, verbosity=5, )
query = "site:github.com" client = yagooglesearch.SearchClient( query, proxy="http://127.0.0.1:8080", verbosity=5, ) client.verify_ssl = False
If you want to use multiple proxies, that burden is on the script utilizing the yagooglesearch library to instantiate
a new yagooglesearch.SearchClient object with the different proxy. Below is an example of looping through a list of
proxies:
import yagooglesearch proxies = [ "socks5h://127.0.0.1:9050", "socks5h://127.0.0.1:9051", "http://127.0.0.1:9052", # HTTPS proxy with a self-signed SSL/TLS certificate. ] search_queries = [ "python", "site:github.com pagodo", "peanut butter toast", "are dragons real?", "ssh tunneling", ] proxy_rotation_index = 0 for search_query in search_queries: # Rotate through the list of proxies using modulus to ensure the index is in the proxies list. proxy_index = proxy_rotation_index % len(proxies) client = yagooglesearch.SearchClient( search_query, proxy=proxies[proxy_index], ) # Only disable SSL/TLS verification for the HTTPS proxy using a self-signed certificate. if proxies[proxy_index].startswith("http://"): client.verify_ssl = False urls_list = client.search() print(urls_list) proxy_rotation_index += 1
If you have a GOOGLE_ABUSE_EXEMPTION cookie value, it can be passed into google_exemption when instantiating the
SearchClient object.
The &tbs= parameter is used to specify either verbatim or time-based filters.
&tbs=li:1

| Time filter | &tbs= URL parameter | Notes |
|---|---|---|
| Past hour | qdr:h | |
| Past day | qdr:d | Past 24 hours |
| Past week | qdr:w | |
| Past month | qdr:m | |
| Past year | qdr:y | |
| Custom | cdr:1,cd_min:1/1/2021,cd_max:6/1/2021 | See yagooglesearch.get_tbs() function |

Currently, the .filter_search_result_urls() function will remove any url with the word "google" in it. This is to
prevent the returned search URLs from being polluted with Google URLs. Note this if you are trying to explicitly search
for results that may have "google" in the URL, such as site:google.com computer
Distributed under the BSD 3-Clause License. See LICENSE for more information.
Project Link: https://github.com/opsdisk/yagooglesearch


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