"If it is a search engine, then it can be parsed" - some random guy
search-engine-parser is a package that lets you query popular search engines and scrape for result titles, links, descriptions and more. It aims to scrape the widest range of search engines. View all supported engines here.
Popular search engines supported include:
- DuckDuckGo
- GitHub
- StackOverflow
- Baidu
- YouTube
View all supported engines here.
Install from PyPi:
# install only package dependencies
pip install search-engine-parser
# Installs `pysearch` cli tool
pip install "search-engine-parser[cli]"or from master:
pip install git+https://github.com/bisoncorps/search-engine-parserClone the repository:
git clone [email protected]:bisoncorps/search-engine-parser.gitThen create a virtual environment and install the required packages:
mkvirtualenv search_engine_parser
pip install -r requirements/dev.txtCode docs can be found on Read the Docs.
pytestQuery results can be scraped from popular search engines, as shown in the example snippet below.
import pprint
from search_engine_parser.core.engines.bing import Search as BingSearch
from search_engine_parser.core.engines.google import Search as GoogleSearch
from search_engine_parser.core.engines.yahoo import Search as YahooSearch
search_args = ('preaching to the choir', 1)
gsearch = GoogleSearch()
ysearch = YahooSearch()
bsearch = BingSearch()
gresults = gsearch.search(*search_args)
yresults = ysearch.search(*search_args)
bresults = bsearch.search(*search_args)
a = {
"Google": gresults,
"Yahoo": yresults,
"Bing": bresults
}
# pretty print the result from each engine
for k, v in a.items():
print(f"-------------{k}------------")
for result in v:
pprint.pprint(result)
# print first title from google search
print(gresults["titles"][0])
# print 10th link from yahoo search
print(yresults["links"][9])
# print 6th description from bing search
print(bresults["descriptions"][5])
# print first result containing links, descriptions and title
print(gresults[0])For localization, you can pass the url keyword and a localized url. This queries and parses the localized url using the same engine's parser:
# Use google.de instead of google.com
results = gsearch.search(*search_args, url="google.de")If you need results in a specific language you can pass the 'hl' keyword and the 2-letter country abbreviation (here's a handy list):
# Use 'it' to receive italian results
results = gsearch.search(*search_args, hl="it")The results are automatically cached for engine searches. You can either bypass the cache by adding cache=False to the search or async_search method or clear the engine's cache
from search_engine_parser.core.engines.github import Search as GitHub
github = GitHub()
# bypass the cache
github.search("search-engine-parser", cache=False)
#OR
# clear cache before search
github.clear_cache()
github.search("search-engine-parser")Adding a proxy entails sending details to the search function
from search_engine_parser.core.engines.github import Search as GitHub
github = GitHub()
github.search("search-engine-parser",
# http proxies supported only
proxy='http://123.12.1.0',
proxy_auth=('username', 'password'))search-engine-parser supports async:
results = await gsearch.async_search(*search_args)The SearchResults after searching:
>>> results = gsearch.search("preaching to the choir", 1)
>>> results
<search_engine_parser.core.base.SearchResult object at 0x7f907426a280>
# the object supports retrieving individual results by iteration of just by type (links, descriptions, titles)
>>> results[0] # returns the first <SearchItem>
>>> results[0]["description"] # gets the description of the first item
>>> results[0]["link"] # gets the link of the first item
>>> results["descriptions"] # returns a list of all descriptions from all resultsIt can be iterated like a normal list to return individual SearchItems.
search-engine-parser comes with a CLI tool known as pysearch. You can use it as such:
pysearch --engine bing --type descriptions "Preaching to the choir"Result:
'Preaching to the choir' originated in the USA in the 1970s. It is a variant of the earlier 'preaching to the converted', which dates from England in the late 1800s and has the same meaning. Origin - the full story 'Preaching to the choir' (also sometimes spelled quire) is of US origin.
usage: pysearch [-h] [-V] [-e ENGINE] [--show-summary] [-u URL] [-p PAGE]
[-t TYPE] [-cc] [-r RANK] [--proxy PROXY]
[--proxy-user PROXY_USER] [--proxy-password PROXY_PASSWORD]
query
SearchEngineParser
positional arguments:
query Query string to search engine for
optional arguments:
-h, --help show this help message and exit
-V, --version show program's version number and exit
-e ENGINE, --engine ENGINE
Engine to use for parsing the query e.g google, yahoo,
bing,duckduckgo (default: google)
--show-summary Shows the summary of an engine
-u URL, --url URL A custom link to use as base url for search e.g
google.de
-p PAGE, --page PAGE Page of the result to return details for (default: 1)
-t TYPE, --type TYPE Type of detail to return i.e full, links, desciptions
or titles (default: full)
-cc, --clear-cache Clear cache of engine before searching
-r RANK, --rank RANK ID of Detail to return e.g 5 (default: 0)
--proxy PROXY Proxy address to make use of
--proxy-user PROXY_USER
Proxy user to make use of
--proxy-password PROXY_PASSWORD
Proxy password to make use ofMake sure to adhere to the code of conduct at all times.
Before making any contributions, please read the contribution guide.
This project is licensed under the MIT 2.0 License which allows very broad use for both academic and commercial purposes.
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!