python-requests

问题 I found an XHR request for a website, now I want to convert this request to corresponding python/requests code and struggled at how to parse the responseType to corresponding replacement code, here is the download script: const download = (url, params = {}, dowType, name, img, method) => new Promise((resolve, reject) => { const _tmpArr = Object.keys(params) || []; const _formData = new FormData(); _tmpArr.map(value => { if (params[value] || params[value] === 0 || params[value] === '') {

问题 I want to login using BeautifulSoup and requests with python. Can you help me? Webdriver ve selenium I can do with but I BeautifulSoup and requests I want to do with from bs4 import BeautifulSoup import json, requests headers = { 'user-agent': 'Mozilla/5.0 (iPhone; CPU iPhone OS 11_0 like Mac OS X) AppleWebKit/604.1.38 (KHTML, like Gecko) Version/11.0 Mobile/15A372 Safari/604.1' } url = "https://www.google.com/accounts/Login?hl=tr&continue=http://www.google.com" login_data = { 'id': 'username

问题 I hope all of you are having a great day. In my python class, we are learning how to use Numpy, so we got an assignment about that. My question is this: What is a rank array and how can I construct that with using python? My instructor tried to explain that with these lines but I did not understand anything actually :( These are the instructions: rank_calculator(A) - 5 pts Given a numpy ndarray A, return its rank array. Input: [[ 9 4 15 0 18] [16 19 8 10 1]] Return value: [[4 2 6 0 8] [7 9 3

问题 I'm doing some experiments with the Clockify API. It uses curl but I figured a way with python requests. In the Time-Entry Section there's a optional parameter you can pass. Basically without this parameter the duration format of the time-entry show's up in letters and numbers. It's the "consider-duration-format" parameter btw. I tried passing this parameter through url = 'https://api.clockify.me/api/v1/workspaces/{workspaceID}/user/{userID}/time-entry headers = {'X-Api-Key': 'my_api_key',

问题 I hope all of you are having a great day. In my python class, we are learning how to use Numpy, so we got an assignment about that. My question is this: What is a rank array and how can I construct that with using python? My instructor tried to explain that with these lines but I did not understand anything actually :( These are the instructions: rank_calculator(A) - 5 pts Given a numpy ndarray A, return its rank array. Input: [[ 9 4 15 0 18] [16 19 8 10 1]] Return value: [[4 2 6 0 8] [7 9 3

问题 I'm trying to use the python 'requests' lib to submit an https post. however, i keep running into this error "CSRF verification failed. Request aborted" I have reviewed all similar issues reported on the forum but unable to find a solution. Below is my python code. Appreciate any help. import requests payload = { 'targetip': 'www.ndtv.com' } header = { 'User-Agent': 'python-requests/2.20.1', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Referer':'https:/

问题 I try to use beautifulsoup to get the odds for each match on the following site: https://danskespil.dk/oddset/sports/category/990/counter-strike-go/matches The goal is to end up with some kind of text file containing the following: Match1, Team1, Odds for team1 winning, Team2, Odds for team2 winning Match2, Team1, Odds for team1 winning, Team2, Odds for team2 winning and so on... I am new to beautifulsoup so things already go wrong at a very elementary level. My approach is to "walk" through

问题 I have a curl POST request that works perfectly in the terminal (macOS), returning a csv as expected. The following format is provided in the RJMetrcis documentation (see "Export figure data"). Here is the curl request in bash: curl -d "format=csv&includeColumnHeaders=1" -H "X-RJM-API-Key: myAPIkey" https://api.rjmetrics.com/0.1/figure/0000/export My objective is to implement the exact same curl request in Python using requests . When I input the same parameters as a POST request, the code

问题 Hi friends IM trying to scrap a webpage for getting some data to work with, one of the web pages I want to scrap is this one https://www.etoro.com/people/sparkliang/portfolio, the problem comes when I scrap the web page using: import requests h=requests.get('https://www.etoro.com/people/sparkliang/portfolio') h.content And gives me a completely different result HTML from the original, for example adding a lot of meta kind and deleting the text or type HTML variables I am searching for. For

问题 The objective is to scrape multiple pages using BeautifulSoup whose input is from the requests.get module. The steps are: First load up the html using requests page = requests.get('https://oatd.org/oatd/' + url_to_pass) Then, scrape the html content using the definition below: def get_each_page(page_soup): return dict(paper_author=page_soup.find(attrs={"itemprop": "name"}).text, paper_title=page_soup.find(attrs={"itemprop": "name"}).text) Say, we have a hundred of unique url to be scrap [