Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to content

An SEO tool that analyzes the structure of a site, crawls the site, count words in the body of the site and warns of any technical SEO issues.

License

Notifications You must be signed in to change notification settings

sethblack/python-seo-analyzer

Repository files navigation

Python SEO Analyzer

An SEO tool that analyzes the structure of a site, crawls the site, counts words in the body of the site and warns of any technical SEO issues.

Requires Python 3.6+, BeautifulSoup4 and urllib3.

Installation

PIP

pip3 install pyseoanalyzer

Docker

docker run sethblack/python-seo-analyzer [ARGS ...]

Command-line Usage

If you run without a sitemap it will start crawling at the homepage.

seoanalyze http://www.domain.com/

Or you can specify the path to a sitmap to seed the urls to scan list.

seoanalyze http://www.domain.com/ --sitemap path/to/sitemap.xml

HTML output can be generated from the analysis instead of json.

seoanalyze http://www.domain.com/ --output-format html

API

The analyze function returns a dictionary with the results of the crawl.

from pyseoanalyzer import analyze

output = analyze(site, sitemap)

print(output)

In order to analyze heading tags (h1-h6) and other extra additional tags as well, the following options can be passed to the analyze function

from pyseoanalyzer import analyze

output = analyze(site, sitemap, analyze_headings=True, analyze_extra_tags=True)

print(output)

By default, the analyze function analyzes all the existing inner links as well, which might be time consuming. This default behaviour can be changed to analyze only the provided URL by passing the following option to the analyze function

from pyseoanalyzer import analyze

output = analyze(site, sitemap, follow_links=False)

print(output)

Alternatively, you can run the analysis as a script from the seoanalyzer folder.

python -m seoanalyzer https://www.sethserver.com/ -f html > results.html

Notes

If you get requests.exceptions.SSLError at either the command-line or via the python-API, try using:

instead of..