Configurable Web Scraper Template (Python)

Stop rewriting the same scraper from scratch every time you need data from a listing-style page. This is a configurable Python template that:

- Scrapes any repeating list of items (products, articles, directory entries, quotes, etc.) into a clean CSV

- Follows "next page" links automatically until there are no more pages (or a safety limit you set)

- Handles fields with multiple values per item (like tags or categories) by joining them into one column

- Includes a polite delay between requests so you don't hammer the target server

You edit a short CONFIG block at the top with the CSS selectors for your target page (a quick guide on finding these with your browser's Inspect tool is included), then run one command.

Tested end-to-end against a real 10-page, 100-item listing site: correctly extracted every item across all pages with zero missed rows.

Includes: the script, a full README with setup instructions and a guide to finding CSS selectors, and one free round of help if you're stuck configuring it for your specific target page.

Requirements: Python 3.8+, requests, beautifulsoup4.

Note: this handles regular server-rendered pages. Pages that load content via JavaScript after the initial load need a different tool (browser automation), not this script -- the README explains this clearly so there are no surprises.

Pay what you feel it's worth ($5 minimum) -- if it saves you time, pay accordingly.