fails or an error happens while handling it. While this enables you to do very fast crawls (sending multiple concurrent requests at the same time, in a fault-tolerant way) Scrapy also gives you control over debugging your spiders. • Built-in support for generating feed exports in multiple formats (JSON, CSV, XML) and storing them in multiple backends (FTP, S3, local filesystem) • Robust encoding support and auto-detection for a in response.css("ul.pager a"): yield response.follow(a, callback=self.parse) To create multiple requests from an iterable, you can use response.follow_all instead: anchors = response.css("ul

fails or an error happens while handling it. While this enables you to do very fast crawls (sending multiple concurrent requests at the same time, in a fault-tolerant way) Scrapy also gives you control over debugging your spiders. • Built-in support for generating feed exports in multiple formats (JSON, CSV, XML) and storing them in multiple backends (FTP, S3, local filesystem) • Robust encoding support and auto-detection for a in response.css("ul.pager a"): yield response.follow(a, callback=self.parse) To create multiple requests from an iterable, you can use response.follow_all instead: anchors = response.css("ul

fails or an error happens while handling it. While this enables you to do very fast crawls (sending multiple concurrent requests at the same time, in a fault-tolerant way) Scrapy also gives you control over debugging your spiders. • Built-in support for generating feed exports in multiple formats (JSON, CSV, XML) and storing them in multiple backends (FTP, S3, local filesystem) • Robust encoding support and auto-detection for a in response.css("ul.pager a"): yield response.follow(a, callback=self.parse) To create multiple requests from an iterable, you can use response.follow_all instead: anchors = response.css("ul

fails or an error happens while handling it. While this enables you to do very fast crawls (sending multiple concurrent requests at the same time, in a fault-tolerant way) Scrapy also gives you control over debugging your spiders. • Built-in support for generating feed exports in multiple formats (JSON, CSV, XML) and storing them in multiple backends (FTP, S3, local filesystem) • Robust encoding support and auto-detection for a in response.css("ul.pager a"): yield response.follow(a, callback=self.parse) To create multiple requests from an iterable, you can use response.follow_all instead: anchors = response.css("ul

fails or an error happens while handling it. While this enables you to do very fast crawls (sending multiple concurrent requests at the same time, in a fault-tolerant way) Scrapy also gives you control over debugging your spiders. Built-in support for generating feed exports in multiple formats (JSON, CSV, XML) and storing them in multiple backends (FTP, S3, local filesystem) Robust encoding support and auto-detection for a in response.css("ul.pager a"): yield response.follow(a, callback=self.parse) To create multiple requests from an iterable, you can use response.follow_all instead: anchors = response.css("ul

fails or an error happens while handling it. While this enables you to do very fast crawls (sending multiple concurrent requests at the same time, in a fault-tolerant way) Scrapy also gives you control over debugging your spiders. Built-in support for generating feed exports in multiple formats (JSON, CSV, XML) and storing them in multiple backends (FTP, S3, local filesystem) Robust encoding support and auto-detection for a in response.css("ul.pager a"): yield response.follow(a, callback=self.parse) To create multiple requests from an iterable, you can use response.follow_all instead: anchors = response.css("ul

fails or an error happens while handling it. While this enables you to do very fast crawls (sending multiple concurrent requests at the same time, in a fault-tolerant way) Scrapy also gives you control over debugging your spiders. Built-in support for generating feed exports in multiple formats (JSON, CSV, XML) and storing them in multiple backends (FTP, S3, local filesystem) Robust encoding support and auto-detection for a in response.css("ul.pager a"): yield response.follow(a, callback=self.parse) To create multiple requests from an iterable, you can use response.follow_all instead: anchors = response.css("ul

fails or an error happens while handling it. While this enables you to do very fast crawls (sending multiple concurrent requests at the same time, in a fault-tolerant way) Scrapy also gives you control over debugging your spiders. • Built-in support for generating feed exports in multiple formats (JSON, CSV, XML) and storing them in multiple backends (FTP, S3, local filesystem) • Robust encoding support and auto-detection for a in response.css('ul.pager a'): yield response.follow(a, callback=self.parse) To create multiple requests from an iterable, you can use response.follow_all instead: anchors = response.css('ul

fails or an error happens while handling it. While this enables you to do very fast crawls (sending multiple concurrent requests at the same time, in a fault-tolerant way) Scrapy also gives you control over debugging your spiders. • Built-in support for generating feed exports in multiple formats (JSON, CSV, XML) and storing them in multiple backends (FTP, S3, local filesystem) • Robust encoding support and auto-detection for a in response.css('ul.pager a'): yield response.follow(a, callback=self.parse) To create multiple requests from an iterable, you can use response.follow_all instead: anchors = response.css('ul

fails or an error happens while handling it. While this enables you to do very fast crawls (sending multiple concurrent requests at the same time, in a fault-tolerant way) Scrapy also gives you control over debugging your spiders. • Built-in support for generating feed exports in multiple formats (JSON, CSV, XML) and storing them in multiple backends (FTP, S3, local filesystem) • Robust encoding support and auto-detection for a in response.css('ul.pager a'): yield response.follow(a, callback=self.parse) To create multiple requests from an iterable, you can use response.follow_all instead: anchors = response.css('ul