CODEWITHSUNDEEP
pythonwebweb-scrapingscrapy
jwalman
jwalman

Reputation: 265

Web Scraping - McKinsey Articles

I am looking to scrape the article titles. I cannot figure out how to extract the title text. Can you please take a look at my code below and suggest solutions.

I am new to scrapy. I appreciate the help!

Screenshot of the web developer view of the web page https://i.sstatic.net/bPn4W.jpg

import scrapy



class BrickSetSpider(scrapy.Spider):
    name = "brickset_spider"
    start_urls = ['https://www.mckinsey.com/search?q=Agile&start=1']

    def parse(self, response):
        for quote in response.css('div.text-wrapper'):
            item = {
                'text': quote.css('h3.headline::text').extract(),
            }
            print(item)
            yield item

Upvotes: 0

Views: 1278

Answers (2)

vezunchik
vezunchik

Reputation: 3717

Looks good for new-to-scrapy developer! I'd changed only selector in you parse function:

for quote in response.css('div.block-list div.item'):
    yield {
        'text': quote.css('h3.headline::text').get(),
    }

UPD: hm, looks like your website makes additional request for data.

Open developer tools and check request to https://www.mckinsey.com/services/ContentAPI/SearchAPI.svc/search with params {"q":"Agile","page":1,"app":"","sort":"default","ignoreSpellSuggestion":false}. You can make scrapy.Request with these params and appropriate headers and get json with data. It will be easily parsed with json lib.

UPD2: as I can see from this curl curl 'https://www.mckinsey.com/services/ContentAPI/SearchAPI.svc/search' -H 'content-type: application/json' --data-binary '{"q":"Agile","page”:1,”app":"","sort":"default","ignoreSpellSuggestion":false}' --compressed, we need to make request in this way:

from scrapy import Request
import json

data = {"q": "Agile", "page": 1, "app": "", "sort": "default", "ignoreSpellSuggestion": False}
headers = {"content-type": "application/json"}
url = "https://www.mckinsey.com/services/ContentAPI/SearchAPI.svc/search"
yield Request(url, headers=headers, body=json.dumps(data), callback=self.parse_api)

and then in parse_api function just parse response:

def parse_api(self, response):
    data = json.loads(response.body)
    # and then extract what you need

So you can iterate parameter page in request and get all pages.

UPD3: Working solution:

from scrapy import Spider, Request
import json


class BrickSetSpider(Spider):
    name = "brickset_spider"

    data = {"q": "Agile", "page": 1, "app": "", "sort": "default", "ignoreSpellSuggestion": False}
    headers = {"content-type": "application/json"}
    url = "https://www.mckinsey.com/services/ContentAPI/SearchAPI.svc/search"

    def start_requests(self):
        yield Request(self.url, headers=self.headers, method='POST',
                  body=json.dumps(self.data), meta={'page': 1})

    def parse(self, response):
        data = json.loads(response.body)
        results = data.get('data', {}).get('results')
        if not results:
            return

        for row in results:
            yield {'title': row.get('title')}

        page = response.meta['page'] + 1
        self.data['page'] = page
        yield Request(self.url, headers=self.headers, method='POST', body=json.dumps(self.data), meta={'page': page})

Upvotes: 5

Julian Silvestri
Julian Silvestri

Reputation: 2027

if you just want to select text of h1 tag all you have to do is

[tag.css('::text').extract_first(default='') for tag in response.css('.attr')]

This is using the xpath, might be easier. 

 //h1[@class='state']/text()

Also, I would recommend checking out BeautifulSoup for python. It is very easy and effective at reading entire html of page and extracting text. https://www.crummy.com/software/BeautifulSoup/bs4/doc/

A very simple example would be like this.

from bs4 import BeautifulSoup

text = '''
<td><a href="http://www.fakewebsite.com">Please can you strip me?</a>
<br/><a href="http://www.fakewebsite.com">I am waiting....</a>
</td>
'''
soup = BeautifulSoup(text)

print(soup.get_text())

Upvotes: 0

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