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website, it's built using SELENIUM and Flask and provide the following informations in a csv file :\n\n\u003cbr\u003e\n\u003cul\u003e\n  \u003cli\u003eproduct name\u003c/li\u003e\n  \u003cli\u003eproduct original price(before sales)\u003c/li\u003e\n  \u003cli\u003eproduct current price\u003c/li\u003e\n  \u003cli\u003eproduct url in asos website\u003c/li\u003e\n\n\u003c/ul\u003e\n\n\u003ch3\u003eHow to run :\u003c/h3\u003e\n\n\u003cb\u003eClone this repo: \u003c/b\u003e\n\n```git clone https://github.com/Aymen1001/Asos-scraper.git```\n\n\u003cb\u003eInstall the required libraries: \u003c/b\u003e\n\n```pip install selenium pandas parsel flask```\n\u003cbr\u003e\n\nExcute the command in the terminal/cmd : \n\n```cd Asos-scraper/asos```\n\nAnd then: \n\n```python app.py```\n\n\u003cbr\u003e\nYou will get a simple web page with 3 inputs:\n\u003cul\u003e\n  \u003cli\u003eproduct name : like shoes, shirts,...) \u003c/li\u003e\n  \u003cli\u003eGender : choose the product for men or women or unisex \u003c/li\u003e\n  \u003cli\u003enumber of pages : the number of pages to be collected from asos website\u003c/li\u003e\n\u003c/ul\u003e\n\n\u003cbr\u003e\n\nAfter you submit the data will be saved in csv format in the asos directory\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaymen99%2Fasos-scraper","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkaymen99%2Fasos-scraper","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaymen99%2Fasos-scraper/lists"}