This Scrapy project is designed to scrape phone product information from Amazon's search results. It utilizes Scrapy, a powerful web scraping framework, to extract data from Amazon's search pages.
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Spider: Amazon_Phone_Search- Scrapy spider responsible for crawling Amazon search results for phone products and extracting relevant data.
 
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Item Models: - AmazonItem: Defines the structure of the scraped data, including product name, color variants, price, stars, rating count, feature bullets, images, and variant data.
 
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Pipelines: - AmazonscraperPipeline: Processes the scraped items, cleans the data, and prepares it for storage.
 
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Settings: - Various Scrapy settings configured to control the behavior of the crawling and scraping process.
 
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Install the necessary Python libraries and dependencies, including Scrapy and required middleware. 
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Install the ScrapeOps Proxy middleware: pip install scrapeops-scrapy-proxy-sdk 
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Install the ScrapeOps Monitor SDK: 
pip install scrapeops-scrapy- Also ensure the scrapeops monitor are installed:
pip install scrapy scrapeops-scrapy