无法使用scrapy框架307重定向错误抓取myntra API数据 [英] unable to scrape myntra API data using scrapy framework 307 redirect error

问题描述

import scrapy
class MyntraSpider(scrapy.Spider):

    custom_settings = {
        'HTTPCACHE_ENABLED': False,
        'dont_redirect': True,
        #'handle_httpstatus_list' : [302,307],
        #'CRAWLERA_ENABLED': False,
        'USER_AGENT': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36',
    }


    name = "heytest"
    allowed_domains = ["www.myntra.com"]
    start_urls = ["https://www.myntra.com/web/v2/search/data/duke"]
    def parse(self, response):
        self.logger.debug('Parsed jabong.com')

解析的 jabong.com"没有被记录.实际上，回调方法(解析)没有被调用.请回复.

"Parsed jabong.com" is not getting logged. Actually, callback method(parse) is not getting called. Kindly revert.

请从 Scarping hub 中查找错误日志:

Please find Error logs from scarping hub:

另见邮递员截图

推荐答案

我运行这段代码(只运行了几次)，获取数据没有问题.

I run this code (only few times) and I have no problem to get data.

它看起来与您的代码相似，所以我不知道您为什么遇到问题.

It looks similar to your code so I don't know why you have problem.

也许他们出于某种原因阻止了您.

Maybe they block you for some reason.

#!/usr/bin/env python3

import scrapy
import json

class MySpider(scrapy.Spider):

    name = 'myspider'

    allowed_domains = ['www.myntra.com']

    start_urls = ['https://www.myntra.com/web/v2/search/data/duke']

    #def start_requests(self):
    #    for tag in self.tags:
    #        for page in range(self.pages):
    #            url = self.url_template.format(tag, page)
    #            yield scrapy.Request(url)

    def parse(self, response):
        print('url:', response.url)

        #print(response.body)

        data = json.loads(response.body)

        print('data.keys():', data.keys())

        print('meta:', data['meta'])

        print("data['data']:", data['data'].keys())

        # download files
        #for href in response.css('img::attr(href)').extract():
        #   url = response.urljoin(src)
        #   yield {'file_urls': [url]}

        # download images and convert to JPG
        #for src in response.css('img::attr(src)').extract():
        #   url = response.urljoin(src)
        #   yield {'image_urls': [url]}

# --- it runs without project and saves in `output.csv` ---

from scrapy.crawler import CrawlerProcess

c = CrawlerProcess({
    'USER_AGENT': 'Mozilla/5.0',
    #'USER_AGENT': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36',

    # save in CSV or JSON
    'FEED_FORMAT': 'csv',     # 'json
    'FEED_URI': 'output.csv', # 'output.json

    # download files to `FILES_STORE/full`
    # it needs `yield {'file_urls': [url]}` in `parse()`
    #'ITEM_PIPELINES': {'scrapy.pipelines.files.FilesPipeline': 1},
    #'FILES_STORE': '/path/to/valid/dir',

    # download images and convert to JPG
    # it needs `yield {'image_urls': [url]}` in `parse()`
    #'ITEM_PIPELINES': {'scrapy.pipelines.files.ImagesPipeline': 1},
    #'IMAGES_STORE': '/path/to/valid/dir',

    #'HTTPCACHE_ENABLED': False,
    #'dont_redirect': True,
    #'handle_httpstatus_list' : [302,307],
    #'CRAWLERA_ENABLED': False,
})
c.crawl(MySpider)
c.start()

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