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How do I handle large-scale web scraping projects efficiently?
Use Scrapy or Golang for larger projects that require more efficiency and scalability.
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4 Replies
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Implement a distributed scraping system using Scrapy Clusters or Apache Kafka to handle high volumes of requests.
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Use cloud-based solutions like AWS Lambda or Google Cloud Functions to scale your scraper across multiple machines.
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Make sure to use a proxy pool or IP rotation service to avoid getting blocked when scraping at a large scale.
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Storing the scraped data in a NoSQL database like MongoDB can make handling large datasets more efficient.
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