Parses site pages (all pages that have internal links on them) into graph for SEO-statistics. Does not evaluate JS, finds and checks links in HTML only.
This simple tool was made for the very basic search engine analysis of big content websites. In the output report you will find how many clicks from homepage every page is, how many internal links points to it and page's HTTP status and redirect url (if it redirects somewhere).
HTTP status and redirects can be used to quickly locate some basic problems with pages.
Clicks from / and internal links will help you modify structure of the site as the most important to you pages should have more internal links and should have less clicks from homepage. Definitely less than 5 clicks, and this is a problem sometimes for big content websites.
Copy this into terminal:
git clone https://github.com/kilgoretrout1985/site-pages-graph.git && \
cd site-pages-graph/ && \
python3 -m venv _env && \
source _env/bin/activate && \
pip3 install -U pip && \
pip3 install -r requirements.txt && \
cd site-pages-graph/
python3 run.py https://mysite.com/
Script generates 2 report options, both containg same data. Just choose the one you are comfortable with:
- CSV file to open it in Excel for example,
- SQLite database for DB Browser or something else you use for SQLite.