I'm trying to get data from this page
https://bscscan.com/tokenholdings?a=0xFAe2dac0686f0e543704345aEBBe0AEcab4EDA3d
But the Website owner doesn't provide endpoints APIs for this purpose. So I tried to achieve it in different ways:
-USING DRYSCRAPE but the library seems to be abandoned;
-USING REQUESTS but the data are provided dinamically by javascript;
-USING REQUESTS HTML but even in this case the data doesn't seems to be loaded.
I would like to ignore selenium cause it's slow but I don't know how to solve this issue. Anyone has a solution that could work? The data I need is the table containing the tokens of the wallet. Thank U in advice and hv a nice day.
You can do it with requests-html, for example let's grab the symbol of the first row:
from requests_html import HTMLSession
session = HTMLSession()
url='https://bscscan.com/tokenholdings'
token={'a': '0xFAe2dac0686f0e543704345aEBBe0AEcab4EDA3d'}
r = session.get(url, params=token)
r.html.render(sleep=2)
binance_row = r.html.find('tbody tr', first=True)
symbol = binance_row.find('td')[2].text
print(symbol)
Output:
BNB
Related
https://www.nyse.com/quote/XNYS:A
After I access the above URL, I open Developer Tools in Firefox. Then change the date in HISTORIC PRICES, then click 'GO'. The table is updated. But I don't see relevant HTTP requests sent in devtools.
So this means that the data has already been downloaded in the first request. But I can not figure out how to extract the raw data of the table. Could anybody take a look at how to extract the raw data from the table? (Note that I don't want to use methods like selenium, I want to stay with raw HTTP requests to get the raw data.)
EDIT: websocket is mentioned in the comment. But I can't see it in Developer Tools. I add websocket tag anyway in case somebody knows more about websocket can chime in.
I am afraid you cannot extract javascript rendered content without selenium. You can always make use of a headless browser(you don't see any instance on your screen, the only pitfall is that you have to wait until the page fully loads) and it won't bother you anymore.
In other words, all the other scraping libs are based on urls and forms. Scrapy can post forms but not run javascripts.
Selenium will save the day, all you lose is a couple of seconds for each attempt(will be milliseconds if it is run in frontend). You can share page source with driver.page_source and it can be directly used for parsing(as a html text) with BeautifulSoup or whatever.
You can do it with requests-html, for example let's grab the first row of the table:
from requests_html import HTMLSession
session = HTMLSession()
url = 'https://www.nyse.com/quote/XNYS:A'
r = session.get(url)
r.html.render(sleep=7)
first_row = r.html.find('.flex_tr', first=True)
print(first_row.text)
Output:
06/18/2021
146.31
146.83
144.94
145.01
3,220,680
As #Nikita said you will have to wait the page loading (here 7sec but maybe less), but if you want to do multiple requests you can do it asynchronously !
I started to use LocustIO for load testing a 3rd party API which provides a way to do batch requests (http://docs.oasis-open.org/odata/odata/v4.01/odata-v4.01-part1-protocol.html#sec_BatchRequests).
How can this be done using LocustIO?
I tried with the following:
def batch(self):
response = self.client.request(method="POST", url="/$batch", auth=("ABC", "DEF"), headers={"ContentType": "multipart/mixed; boundary=batch_36522ad7-fc75-4b56-8c71-56071383e77b"}, data="Content-Type: application/http\nContent-Transfer-Encoding: binary\n\nGET putyoururlhere HTTP/1.1\nAccept: application/json\n\n\n")
Auth is something I need to have authentication to the API, but that's not the point of the question and "putyoururlhere" should be replaced with the actual url. Either way, it gives errors when executing the test, so I must be doing something wrong.
People with experience how to do this?
Kind regards!
The data parameter should be your POST body (only), you cant put additional headers in it the way you did. You probably just want to add them as additional entries in the dict you pass as headers
Se the documentation for python requests library for more details. https://requests.readthedocs.io/en/master/
I am trying to scrape the URL of every company who has posted a job offer on this website:
https://jobs.workable.com/
I want to pull the info to generate some stats re this website.
The problem is that when I click on an add and navigate through the job post, the url is always the same. I know a bit of python so any solution using it would be useful. I am open to any other approach though.
Thank you in advance.
This is just a pseudo code to give you the idea of what you are looking for.
import requests
headers = {'User-Agent': 'Mozilla/5.0'}
first_url = 'https://job-board-v3.workable.com/api/v1/jobs?query=&orderBy=postingUpdateTime+desc'
base_url= 'https://job-board-v3.workable.com/api/v1/jobs?query=&orderBy=postingUpdateTime+desc&offset='
page_ids = ['0','10','20','30','40','50'] ## can also be created dynamically this is just raw
for pep_id in page_ids:
# for initial page
if(pep_id == '0'):
page = requests.get(first_url, headers=headers)
print('You still need to parse the first page')
##Enter some parsing logic
else:
final_url = base_url + str(pep_id)
page = requests.get(final_url, headers=headers)
print('You still need to parse the other pages')
##Enter some parsing logic
I try to download the reports available in Salesforce via the URL, e.g.
http://YOURInstance.my.salesforce.com/012389u13541?export=1&enc=UTF-8&xf=csv
in R.
I already did some investigation to access the report via HTTR-GET, however, up until today without any meaningful outcomes. Unfortunately, R is downloading HTML-code instead of the desired csv file. I also tried to realize the approach suggested here:
https://salesforce.stackexchange.com/questions/47414/download-a-report-using-python
The package "RForcecom" allows the interaction via an API, but I was not able to figure out how to realize above solution in R.
General GET-Request:
GET("http://YOUR_Instance.my.salesforce.com/012389u13541?export=1&enc=UTF-8&xf=csv")
I expect the output to be in csv format, but I receive the report data as html source code.
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3...
<html>
<head>
<meta HTTP-EQUIV="PRAGMA" CONTENT="NO-CACHE">
...
Did anyone of you guys encounter same issues and can provide guidance? Any kind of help is much appreciated. Thanks in advance!
UPDATED and not-working R-Snippet:
library(RForcecom)
library(httr)
username='username'
password='password'
instanceURL <- "https://login.salesforce.com/"
session <- rforcecom.login(username, password, instanceURL)
sid=as.character(session['sessionID'])
url='http://YOURInstance.my.salesforce.com/012389u13541?export=1&enc=UTF-8&xf=csv'
getData=GET(url,add_headers('Content-Type'='application/json','Authorization'=paste0("Bearer ",sid),'X-PrettyPrint'='1'),set_cookies('sid'=sid))
Are you sure you have a valid report id? It doesn't look right (did you just obfuscate it for purposes of this post?). What is in that HTML you're getting, an error message? SF login screen?
What you're doing is effectively "screen scraping". This is not a real API, it can break at any time, you should find/build something that properly uses Salesforce Analytics API. You've been warned.
But if you're after a quick and dirty solution...
You need to pretend you're an authenticated user, that you have a valid session id. Add a cookie to your GET request.
How to get a valid session id?
You'd have to log in to SF first (for example use SOAP API's login call or I listed some REST api ideas here: https://stackoverflow.com/a/56034159/313628 )
or display some user's session ID in a SF formula, visualforce page and user would copy-paste it to your app.
Once you have it - add a Cookie header to your GET with value sid=<session id goes here>
Here's a raw request & response in SoapUI.
I recently struggled with the same issue, there's a magic parameter you need to add to the query : isdtp=p1
so if you try:
http://YOURInstance.my.salesforce.com/012389u13541?export=1&enc=UTF-8&xf=csv&isdtp=p1
it should return you the file directly.
In your example, I don't think that you can use the rforcecom session with httr functions as you are trying.
Here is a slightly different way to solve the problem.
Rather than trying to retrieve a report that you already created in Salesforce, why not specify the report in SOQL and use rforcecom.query function to execute the SOQL from r. That would return the data in a data frame and would require no further data wrangling in r to make it useable.
I use this technique often and once you get used to the Salesforce API I think that its probably faster and more powerful for most use cases.
Here is a simple function that I use to return select opportunity data for all opportunities in Salesforce.
getSFOpps <- function(session) {
#Construct SOQL Query
soql <- "SELECT Id,
Name,
AccountId,
Amount,
CurrencyIsoCode,
convertCurrency(Amount) usd_amount,
CloseDate,
CreatedDate,
Region__c,
IsClosed,
IsWon,
LastActivityDate,
LeadSource,
OwnerId,
Probability,
StageName,
Type,
IsDeleted
FROM Opportunity"
#Retrieve Opp information
as_tibble(RForcecom::rforcecom.query(session, soql))
}
It requires that you pass in a valid session from Rforcecom.login but you seem to have that part working from your code above.
I hope this helps ...
As of v0.2.0, the {salesforcer} R package implements the Salesforce Reports and Dashboards REST API. You can execute and manage reports without needing to write functions from scratch to pull down report data. Below is an example of how to find a report in your Org and then retrieve its data. You can also just use the report Id which appears in the URL bar when viewing the report in Salesforce (highlighted in red in the screenshot below).
# install.packages('salesforcer')
library(dplyr, warn.conflicts = FALSE)
library(salesforcer)
# Authenticate using username, password, and security token ...
sf_auth(username = "test#gmail.com",
password = "{PASSWORD_HERE}",
security_token = "{SECURITY_TOKEN_HERE}")
# ... or using OAuth 2.0 authentication
sf_auth()
# find a report in your org and run it
all_reports <- sf_query("SELECT Id, Name FROM Report")
this_report_id <- all_reports$Id[1]
results <- sf_run_report(this_report_id)
results
Using Python, I'm trying to read the values on http://utahcritseries.com/RawResults.aspx. I can read the page just fine, but am having difficulty changing the value of the year combo box, to view data from other years. How can I read the data for years other than the default of 2002?
The page appears to be doing an HTTP Post once the year combo box has changed. The name of the control is ct100$ContentPlaceHolder1$ddlSeries. I try setting a value for this control using urllib.urlencode(postdata), but I must be doing something wrong-the data on the page is not changing. Can this be done in Python?
I'd prefer not to use Selenium, if at all possible.
I've been using code like this(from stackoverflow user dbr)
import urllib
postdata = {'ctl00$ContentPlaceHolder1$ddlSeries': 9}
src = urllib.urlopen(
"http://utahcritseries.com/RawResults.aspx",
data = urllib.urlencode(postdata)
).read()
print src
But seems to be pulling up the same 2002 data. I've tried using firebug to inspect the headers and I see a lot of extraneous and random-looking data being sent back and forth-do I need to post these values back to the server also?
Use the excellent mechanize library:
from mechanize import Browser
b = Browser()
b.open("http://utahcritseries.com/RawResults.aspx")
b.select_form(nr=0)
year = b.form.find_control(type='select')
year.get(label='2005').selected = True
src = b.submit().read()
print src
Mechanize is available on PyPI: easy_install mechanize