scrapping

Let's go scrapping!

Setup

This example requires a few additional libraries. You can install them using pip:

pip install -r requirements.txt

Running the example

redun run workflow.py main

By default this will scrape web pages from https://www.python.org/ with a depth of 2 link traversals. All of the HTML files encountered will be stored in crawl/. Word frequency across all pages will be calculated and a CSV of the word counts will be stored in computed/word_counts.txt.

Lastly, an HTML report is generated in reports/report.html that summarizes the scrapping and analysis. The report is generated using a jinja2 template stored in templates/report.html.

Exercises for the reader

Feel free to try other urls and depth of scrapping using the task arguments:

redun run workflow.py main --url URL --depth DEPTH

Also feel free to alter and the report template templates/report.html. It is passed the task make_report() as a File argument, so you should have automatic reactivity to changes in the template when rerun the workflow.