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GDPyR Moodule

Find the best deals on second-hand ads websites 🎯

Table of Contents

Features

  • Cross site collection: gather and merge (no duplicates) ads from the main sources
  • History of price: how much leverage do you have?
  • History of (re)posting: has the ad been online longer than shown?
  • Statistics: what are the best deals?
  • Ratings: what are the ads most relevant for you? (the best is not necessarily the most discounted)
  • Warnings: are there any red flags?
  • Visualization: display the ads on a map (useful for realestate sells), chart and compare

Development

Contributions welcome! Read the contribution guidelines first.

History

See the history.

Community

See the code of conduct.

Credits

This package was created with Cookiecutter and the audreyfeldroy/cookiecutter-pypackage project template.

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