We are looking for an experienced web scraping developer to build a script that extracts structured data from a target website. The script should be able to crawl multiple pages, collect specific fields, and export the data in CSV/Excel/JSON format.

Project Scope:

1. Scrape data from a list of given URLs (or dynamically generated pages).
2. Extract key fields such as:
3. Title / Name
4. Description
5. Price / Value
6. Image URL
7. Link to original page
8. Handle pagination and ensure complete data capture.
9. Store/export results in CSV/Excel/JSON.
10. Script should be reusable and well-documented.

Requirements:

1. Strong experience with Python (BeautifulSoup, Scrapy, or Selenium) OR Node.js (Puppeteer, Cheerio).
2. Ability to handle anti-bot mechanisms (user-agent rotation, delays, proxies if needed).
3. Clean and efficient coding practices.
4. Must deliver both script and sample dataset.

Nice to Have:

1. Experience with scheduling scrapers (cron jobs).
2. Knowledge of databases (MySQL / MongoDB) for data storage.

Deliverables:

1. Working script with instructions.
2. Exported dataset in CSV/Excel/JSON.
3. Documentation for re-running/updating the script.