Your code works fine but there is a robot check before the product page so your request looks for the span tag in that robot check page, fails and returns None. Here is a link which may help you: python requests & beautifulsoup bot detection solved This code for Web Scraping using python returning None. … Read more
Run this script and I suppose it will give you everything the table contains including a csv output. import csv from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.support.wait import WebDriverWait from selenium.webdriver.support import expected_conditions as EC driver = webdriver.Chrome() wait = WebDriverWait(driver, 10) outfile = open(‘table_data.csv’,’w’,newline=””) writer = csv.writer(outfile) driver.get(“http://washingtonmonthly.com/college_guide?ranking=2016-rankings-national-universities”) wait.until(EC.frame_to_be_available_and_switch_to_it(“iFrameResizer0”)) wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, ‘table.tablesaw’))) … Read more
You can take advantage of CSS selector span[id$=lblResultsRaceName], which finds all spans that’s id ends with lblResultsRaceName and ‘td > span’, which finds all spans that have direct parent <td>: This code snippet will go through all racing result and prints all races: import requests from bs4 import BeautifulSoup url = “https://www.thedogs.com.au/Racing/Results.aspx?SearchDate=3-Jun-2018” def get_info(session,link): session.headers[‘User-Agent’] … Read more
Your imports didn’t work that well over here, but that might be a configuration issue on my side. I think the scraper below does what you’re searching for: import scrapy class YelpSpider(scrapy.Spider): name=”yelp_spider” allowed_domains=[“yelp.com”] headers=[‘venuename’,’services’,’address’,’phone’,’location’] def __init__(self): self.start_urls = [‘https://www.yelp.com/search?find_desc=&find_loc=Springfield%2C+IL&ns=1’] def start_requests(self): requests = [] for item in self.start_urls: requests.append(scrapy.Request(url=item, headers={‘Referer’:’http://www.google.com/’})) return requests def parse(self, … Read more
At last i have done this, please follow below code to implement crawl values form url of url. def parse(self, response): item=ProductItem() url_list = [content for content in response.xpath(“//div[@class=”listing”]/div/a/@href”).extract()] item[‘product_DetailUrl’] = url_list for url in url_list: request = Request(str(url),callback=self.page2_parse) request.meta[‘item’] = item yield request def page2_parse(self,response): item=ProductItem() item = response.meta[‘item’] item[‘product_ColorAvailability’] = [content for content … Read more
Use cURL to fetch the page and then use something like DomDocument to get the exact data that you want. 1 solved Extracting information from website [closed]
This data is taken from additional request to https://www.seloger.com/detail,json,caracteristique_bien.json?idannonce=142632059. There you will get json with whole information. UPD: url_id = re.search(r’/(\d+)\.htm’, response.url).group(1) details_url=”https://www.seloger.com/detail,json,caracteristique_bien.json?idannonce={}” # make request to url yield Request(details_url.format(url_id)) 5 solved i want to scrape this part
Here is the answer for someone who has no code: Use this URL: https://340bopais.hrsa.gov/reports Connect to this URL with ‘WebClient’ Get the Page with ‘HtmlPage’ Wait until JavaScript files loaded. Download execute it and download result to given path. Mabe this already asked example code can help you. 2 solved How to programatically download a … Read more
Yes. Pull it from the API: import requests import pandas as pd url=”https://api.verivest.com/sponsors/find” payload = { ‘page[number]’: ‘1’, ‘page[size]’: ‘9999’, ‘sort’: ‘-capital_managed,name’, ‘returns’: ‘compact’} jsonData = requests.get(url, params=payload).json() data = jsonData[‘data’] df = pd.json_normalize(data) df[‘links’] = ‘https://verivest.com/s/’ + df[‘attributes.slug’] Output: print(df[‘links’]) 0 https://verivest.com/s/fairway-america 1 https://verivest.com/s/trion-properties 2 https://verivest.com/s/procida-funding-advisors 3 https://verivest.com/s/legacy-group-capital 4 https://verivest.com/s/tricap-residential-group 1291 https://verivest.com/s/zapolski-real-estate-llc 1292 https://verivest.com/s/zaragon-inc … Read more
Indent the business and append line so it is inside the for loop: for item in data: phone_url = “https://yellowpages.com.eg” + item[“data-tooltip-phones”] title = item.find_previous(class_=”item-title”).text address = item.find_previous(class_=”address-text”).text.strip().replace(‘\n’, ”) phones = requests.get(phone_url).json() business = { ‘name’: title, ‘address’: address, ‘telephone’: phones } my_list.append(business) solved returning only the first Value while i am printing a list … Read more