Search Engine Parser

"If it is a search engine, then it can be parsed" - Some random guy

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Package to query popular search engines and scrape for result titles, links and descriptions. Aims to scrape the widest range of search engines. View all supported engines

• Search Engine Parser
  • Popular Supported Engines
  • Installation
  • Development
  • Code Documentation
  • Running the tests
  • Usage
    • Code
    • Command line
  • Code of Conduct
  • Contribution
  • License (MIT)

Popular Supported Engines

Some of the popular search engines include:

• Google
• DuckDuckGo
• GitHub
• StackOverflow
• Baidu
• YouTube

View all supported engines

Installation

# install only package dependencies
pip install search-engine-parser
# Installs `pysearch` cli tool
pip install "search-engine-parser[cli]"

Development

Clone the repository

 git clone git@github.com:bisoncorps/search-engine-parser.git

Create virtual environment and install requirements

 mkvirtualenv search_engine_parser
pip install -r requirements/dev.txt

Code Documentation

Found on Read the Docs

Running the tests

 pytest

Usage

Code

Query Results can be scraped from popular search engines as shown in the example snippet below

fromsearch_engine_parserimportYahooSearch, GoogleSearch, BingSearchimportpprintsearch_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 enginefork, vina.items():
print(f"-------------{k}------------")
pprint.pprint(v)
# print first title from google searchprint(gresults["titles"][0])
# print 10th link from yahoo searchprint(yresults["links"][9])
# print 6th description from bing searchprint(bresults["descriptions"][5])

Command line

Search engine parser comes with a CLI tool known as pysearch e.g

pysearch --engine bing search --query "Preaching to the choir" --type descriptions

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.

There is a needed argument for the CLI i.e -e Engine followed by either of two subcommands in the CLI i.e search and summary

SearchEngineParser
positional arguments:
{search,summary} helpfor subcommands
search search help
summary summary help
optional arguments:
-h, --help show this help message and exit
-e ENGINE, --engine ENGINE
Engine to use for parsing the query e.g google, yahoo,
bing, duckduckgo (default: google)

summary just shows the summary of each search engine added with descriptions on the return

pysearch --engine google summary 

Full arguments for the search subcommand shown below

usage: pysearch search [-h] -q QUERY [-p PAGE] [-t TYPE] [-r RANK]
optional arguments:
-h, --help show this help message and exit
-q QUERY, --query QUERY
Query string to search engine for
-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)
-r RANK, --rank RANK ID of Detail to return e.g 5 (default: 0)

Code of Conduct

All actions performed should adhere to the code of conduct

Contribution

Before making any contribution, please follow the contribution guide

License (MIT)

This project is opened under the MIT 2.0 License which allows very broad use for both academic and commercial purposes.

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Ed Luff 💻	Diretnan Domnan 🚇⚠️🔧💻	MeNsaaH 🚇⚠️🔧💻	Aditya Pal ⚠️💻📖	Avinash Reddy 🐛	David Onuh 💻⚠️	Panagiotis Simakis 💻⚠️
reiarthur 💻	Ashokkumar TA 💻

This project follows the all-contributors specification. Contributions of any kind welcome!