{"id":25953831,"url":"https://github.com/giuseppeboezio/autoscout_scraping","last_synced_at":"2025-07-16T20:37:00.214Z","repository":{"id":280511100,"uuid":"942238259","full_name":"giuseppeboezio/autoscout_scraping","owner":"giuseppeboezio","description":"Scrape offers from Autoscout to speed up the process of finding a new car","archived":false,"fork":false,"pushed_at":"2025-03-03T20:34:25.000Z","size":132,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-03T21:22:31.392Z","etag":null,"topics":["cars","scraping-python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AutoScout24 scraping \u003cimg src=\"car.png\" title=\"icon\" alt=\"icon\" width=\"80\" height=\"80\"/\u003e\u0026nbsp;\n\nThis repository contains a notebook to extract offers from the website [AutoScout24](https://www.autoscout24.it/?cq_src=google_ads\u0026cq_cmp=20946303485\u0026cq_term=autoscout\u0026cq_plac=\u0026cq_net=g\u0026cq_plt=gp\u0026utm_source=google\u0026utm_campaign=IT_AS24_ugom_web_lead_%5Bs%5D_%28B%29_Strict\u0026utm_medium=cpc\u0026utm_content=%28B%29_Strict\u0026utm_term=autoscout\u0026gad_source=1\u0026gclid=CjwKCAiAw5W-BhAhEiwApv4goOjr1NBozkmG-yDcR6nITwfYg_lzW61123RzOwdR1y8FcBZzQeaICBoCGPAQAvD_BwE).\n\n## Steps\n\n### 1) Advanced search\n\n\u003cimg src=\"autoscout24.png\" title=\"icon\" alt=\"icon\" width=\"80\" height=\"80\"/\u003e \n\nSearch a car setting own custom criteria here [Criteria](https://www.autoscout24.it/ricerca-avanzata?sort=standard\u0026desc=0\u0026ustate=N%2CU\u0026atype=C\u0026cy=I\u0026source=homepage_search-mask\u0026_gl=1*k6ctgz*_up*MQ..*_gs*MQ..\u0026gclid=CjwKCAiAw5W-BhAhEiwApv4goOjr1NBozkmG-yDcR6nITwfYg_lzW61123RzOwdR1y8FcBZzQeaICBoCGPAQAvD_BwE)\n\nClick on the yellow button at the end of the page\n\n\u003cimg src=\"button.png\" title=\"icon\" alt=\"icon\" width=\"280\" height=\"60\"/\u003e\n\n### 2) Get the base URL of the results\n\nClick on the URL bar, copy the link and paste it in the notebook in the following cell:\n\n```python\nbase_url = \u003cyour_url\u003e\n```\n\n### 3) Run the notebook and get results\n\nRun all cells of the notebook and two different files will be generated:\n- **used_cars.xlsx**: excel containing the results\n- **used_cars_sorted.xlsx**: excel containing the results sorted by mileage, year, month and 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