[Solved] Extracting information from website [closed]
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]
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
You can mimic what the page is doing in terms of paginated results (https://www.nowtv.com/stream/all-movies/page/1) and extract movies from the script tag of each page. Although the below could use some re-factoring it shows how to obtain the total number of films, calculate the films per page, and issue requests to get all films using Session … Read more
Try this: from selenium import webdriver import time from selenium.webdriver.common.keys import Keys from bs4 import BeautifulSoup from bs4.element import Tag driver = webdriver.Chrome(“C:/Users/RoshanB/Desktop/sentiment1/chromedriver_win32/chromedriver”) driver.get(‘http://www.careratings.com/brief-rationale.aspx’) time.sleep(4) companyArray = [] try: search = driver.find_element_by_name(‘txtSearchCompany_brief’) search.send_keys(“Reliance Capital Limited”) search.send_keys(Keys.RETURN) time.sleep(4) soup = BeautifulSoup(driver.page_source, ‘lxml’) companies = soup.find(“table”,class_=”table1″) for tag in companies.findChildren(): if isinstance(tag, Tag) and tag.name in ‘a’ … Read more
Since all the links have a class in common (class=”blue”), you can select all the web elements using this code, and then get the “href” attribute values: elements = driver.find_elements_by_class_name(‘blue’); urls = [elements.get_attribute(‘href’) for elements in elements] I recommend this site if you want to learn more about Selenium Python : Learn to Locate Elements … Read more
To do pagination use infinite while loop and #Check for button next-pagination-item have **disable** attribute then jump from loop else click on the next button. Code: from selenium import webdriver from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.by import By import time driver=webdriver.Chrome(executable_path=”chromedriver”) driver.get(“https://www.lazada.sg/products/loreal-paris-uv-perfect-even-complexion-sunscreen-spf50pa-30ml-i214861100-s325723972.html?spm=a2o42.seller.list.1.758953196tH2Mn&mp=1”) review_csv=[] product_csv = [] rating_csv =[] date_review_csv … Read more
You should fix your XPath expressions. Use findElement for the first 3. findElements for the last. To get the home odd : //td[a[.=”bet365″]]/following-sibling::td[span][1]/span To get the draw odd : //td[a[.=”bet365″]]/following-sibling::td[span][2]/span To get the away odd : //td[a[.=”bet365″]]/following-sibling::td[span][3]/span To get them all : //td[a[.=”bet365″]]/following-sibling::td[span]/span Getting them all is probably better since you call driver.find_elements_by_xpath 1 time. … Read more
To answer my own question: I implemented the same logic with Jsoup and the time bench mark yielded the results for a fixed amount of data: Selenium: 2 minutes 46 seconds Jsoup: 16 seconds Thus it seems that Selenium is much slower. I cannot give a technical reason why this is so. I can only … Read more
I love this library for scraping the internets http://jsoup.org/. I had a parser up and running in about 30 mins and have only been writing java in my spare time for 3 months. solved Extracting images from a webpage under a specific tag
You need to check if titletext.a is None before you can use it for sure. for titles in title: titleheading = soup.findAll(‘h2’) for titletext in titleheading: if titletext.a: titlename = titletext.a titlelink =titlename.get(‘href’) print(i) print(titlelink) i+=1 2 solved Non Type object has no attribute get error
You have to make a post http requests with appropriate json parameter. Once you get the response, you have to parse two fields objectId and nombreFichero to use them to build right links to the pdf’s. The following should work: import os import json import requests url=”https://bancaonline.bankinter.com/publico/rs/documentacionPrix/list” base=”https://bancaonline.bankinter.com/publico/DocumentacionPrixGet?doc={}&nameDoc={}” payload = {“cod_categoria”: 2,”cod_familia”: 3,”divisaDestino”: None,”vencimiento”: None,”edadActuarial”: … Read more
Rotating proxies Delays Avoid the same pattern IP rate limit (probably your issue) IP rate limit. It’s a basic security system that can ban or block incoming requests from the same IP. It means that a regular user would not make 100 requests to the same domain in a few seconds with the exact same … Read more