page_finder

UNKNOWN


Keywords
crawler, frontier, scrapy, web, requests, data-science
License
MIT
Install
pip install page_finder==0.1.2

Documentation

Page Finder Build Status

This module detects which links inside a page are pagination links. It works by manually marking inside a web page at least one link as a pagination link. The algorithm then uses label propagation and a gaussian kernel with Levenshtein edit distance as a measure of similarity to determine which other links are pagination links. There is a small demo included to show you how to use and test it.

Install

python setup.py develop

Dependencies: numpy and scrapely

pip install -r requirements.txt

Demo

cd tests
python demo.py https://news.ycombinator.com

Enter link to follow (tab autocompletes): news?<TAB>
Enter link to follow (tab autocompletes): https://news.ycombinator.com/news?p=2 <RET>

0) Quit
1) Enter link directly
2) https://news.ycombinator.com/news?p=3
3) https://news.ycombinator.com/news
4) https://news.ycombinator.com/newest
5) https://news.ycombinator.com/jobs
6) https://news.ycombinator.com/ask
Select link to follow:
2 <RET>