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https://github.com/apehex/adspying

:dart: Find the most relevant ads among a range of web sources
https://github.com/apehex/adspying

ads real-estate scraping scrapy-crawler second-hand vanlife

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:dart: Find the most relevant ads among a range of web sources

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README

        

================
Adspying apehex
================

Find the best deals on second-hand ads websites :dart:

- Free software: `MIT license`_

Table of Contents
-----------------

- `Table of Contents`_
- `Features`_
- `Development`_
- `Credits`_

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.

Todo
~~~~

See the `todo`_.

Community
~~~~~~~~~

See the `code of conduct`_.

Credits
-------

This package was created with cookiecutter_ and the `apehex/cookiecutter-pypi`_ project template.

.. _`MIT license`: LICENSE
.. _`apehex/cookiecutter-pypi`: https://github.com/apehex/cookiecutter-pypi
.. _`code of conduct`: CODE_OF_CONDUCT.rst
.. _`contribution guidelines`: CONTRIBUTING.rst
.. _`cookiecutter`: https://github.com/audreyfeldroy/cookiecutter/
.. _`todo`: TODO.rst