I'm trying to scrape the website of Fitch Ratings and until now I can't get what I wanted: the list of ratings. When I scrape with R it returns the header of the website and in the body it gets an "iframe" from googleTagManager the "hide" the content that matters.
website: https://www.fitchratings.com/site/search?content=research&filter=RESEARCH%20LANGUAGE%5EPortuguese%2BGEOGRAPHY%5EAmericas%2BREPORT%20TYPE%5EHeadlines%5ERating%20Action%20Commentary
return:
[1] <head>\n<title>Search - Fitch Ratings</title>\n<!-- headerScripts --><!-- --><meta http-equiv="Content-Type" content="text/html; chars ...
[2] <body id="search-results">\n <div id="privacy-policy-tos-modal-container"></div>\n <!-- Google Tag Manager (noscript) -- ...
_____________
What I want:
Date;Research;Type;Text
04 Sep 2019; Fitch afirma Rating de Qualidade(...);Rating Action Commentary;Fitch Ratings-Sao Paulo - 04 September 2019: A Fitch Ratings Afirmou hoje, o Rating de Qualidade de Gestão de Ivnestimento 'Excelente' (...)
02 Sep 2019; Fitch Eleva Rating (...); Rating Action Commentary; Fitch Ratings - Sao Paulo - 02 September 2019: A Fitch Ratings elevou hoje (...)
Code below
html_of_site <- read_html(url("https://www.fitchratings.com/site/search?content=research&filter=RESEARCH%20LANGUAGE%5EPortuguese%2BGEOGRAPHY%5EAmericas%2BREPORT%20TYPE%5EHeadlines%5ERating%20Action%20Commentary"))
html_of_site
Short Answer: Don't scrape this website.
Long Answer: Technically it is possible to scrape this site, but you need your code to act like a human. What this means is that you would need to convince Fitch Group's server that you are indeed a human visitor and not a bot.
To do this you need to:
Send the same headers that your browser would send to the site
Keep track of any cookies the site sends back to you and return them in subsequent requests if necessary
Evaluate any scripts sent back by the server (to actually load the data you want).
I wasn't able to access the site policy for the thefitchgroup.com, but I assume it includes clauses about what bots are and are not allowed to do on the site. Since this company likely sells the data you are trying to scrape, you should probably avoid scraping this site.
In general, don't scrape sites without reading the site policies first. If the data you are scraping is not free without scraping it, then you probably shouldn't be scraping it.
Related
I have a large number of Tweet IDs that have been collected by other people (https://github.com/echen102/us-pres-elections-2020), and I now want to get these tweets from those IDs. What should I do without the Twitter API?
Do you want the url ? It is : https://twitter.com/user/status/<tweet_id>
If you want the text of the tweet withou using the api , you have to render the page, and then scrape it.
You can do it with one module, requests-html:
from requests_html import HTMLSession
session = HTMLSession()
url = "https://twitter.com/user/status/1414963866304458758"
r = session.get(url)
r.html.render(sleep=2)
tweet_text = r.html.find('.css-1dbjc4n.r-1s2bzr4', first=True)
print(tweet_text.text)
Output:
Here’s a serious national security question: Why does the Biden administration want to protect COMMUNISM from blame for the Cuban Uprising? They attribute it to vaccines. Even if the Big Guy can’t comprehend it, Hunter could draw a picture for him.
I wrote some code which should check whether a product is back in stock and when it is, send me an email to notify me. This works when the things I'm looking for are in the html.
However, sometimes certain objects are loaded through JavaScript. How could I edit my code so that the web scraping also works with JavaScript?
This is my code thus far:
import time
import requests
while True:
# Get the url of the IKEA page
url = 'https://www.ikea.com/nl/nl/p/flintan-bureaustoel-vissle-zwart-20336841/'
# Get the text from that page and put everything in lower cases
productpage = requests.get(url).text.lower()
# Set the strings that should be on the page if the product is not available
outofstockstrings = ['niet beschikbaar voor levering', 'alleen beschikbaar in de winkel']
# Check whether the strings are in the text of the webpage
if any(x in productpage for x in outofstockstrings):
time.sleep(1800)
continue
else:
# send me an email and break the loop
Instead of scraping and analyzing the HTML you could use the inofficial stock API that the IKEA website is using too. That API return JSON data which is way easier to analyze and you’ll also get estimates when the product gets back to stock.
There even is a project written in javascript / node which provides you this kind of information straight from the command line: https://github.com/Ephigenia/ikea-availability-checker
You can easily check the stock amount of the chair in all stores in the Netherlands:
npx ikea-availability-checker stock --country nl 20336841
I am new to web scraping. I would like to pull out data from this website: https://bpstat.bportugal.pt/dados/explorer
I have managed to get a response using the GET() function (even though not positive every time I run my code) using httr package.
library(httr)
URL <- "https://bpstat.bportugal.pt/dados/explorer"
r <- GET(URL)
r
Response [https://bpstat.bportugal.pt/dados/explorer]
Date: 2020-04-09 22:25
Status: 200
Content-Type: text/html; charset=utf-8
Size: 3.36 kB
I would like to send a request with these info that I would provide manually:
Accept the cookies on the first page
In the top right corner, select EN for English
Filter by domains – External statistics – Balance of payments
External operations - Balance of payments – current and capital accounts – current account – Goods and services account (highlight the following selection) :
Goods account; Services account; Manufacturing services on physical inputs; Maintenance and repair services; Transport services; Travel; Construction services; Insurance and pension services; Financial services; Charges for the use of intellectual property; Telecommunication, computer & information services; Other services provided by companies; Personal, cultural and recreational services; Government goods and services
Counterparty territory: All countries
Data type: Credit; Debit
Periodicity: Monthly
Unit of Measure: Millions of Euros
Select all series (click on them so they are highlighted in dark blue. At the top of the page click on the "Selected members" and then "go to associated series")
Go to Associated Series (increase number to be viewed on page at bottom of the screen. Increase from 10 to 50)
Manually tick all boxes except for "seasonally adjusted"
Go to "Selection list" Select "See in Table"
Download Excel three vertical dots at top ("visible data only")
I have seen a couple of examples like:
- Send a POST request using httr R package
but I don't know what inputs I need to provide...
That website has a documented API which you can use to pull data instead of trying to scrape the pages at https://bpstat.bportugal.pt/data/docs/
The outputs are JSON-stat, and you can use https://github.com/ajschumacher/rjstat to make them easier to handle.
I already check the copyrights of Brazilian Central Bank, from now on: "BR Central Bank", (link here) and:
The total or partial reproduction of the content of this site is allowed, preserving the integrity of the information and citing the source. It is also authorized to insert links on other websites to the Central Bank of Brazil (BCB) website. However, the BCB reserves the right to change the provision of information on the site as necessary without notice.
Thus, I'm trying to scrape this website: https://www.bcb.gov.br/estabilidadefinanceira/leiautedoc2061e2071/atuais , but I can't understand why I'm not able to do it. Below you'll find what I'm doing. The html when is saved is empty. What am I doing wrong? Can anybody help me please? After this step I'll read the html code and look for new additions from last database.
url_bacen <- "https://www.bcb.gov.br/estabilidadefinanceira/leiautedoc2061e2071/atuais"
file_bacen_2061 <- paste("Y:/Dir_Path/" , "BACEN_2061.html", sep="" )
download.file(url_bacen,file_bacen_2061, method="auto",quiet= FALSE, mode="wb")
Tks for any help,
Felipe
Data is dynamically pulled from API call you can find it network tab when pressing F5 to refresh page i.e. the landing page makes an additional xhr request for info that you are not capturing. If you mimic this request it returns json you can parse for whatever info you want
library(jsonlite)
data <- jsonlite::read_json('https://www.bcb.gov.br/api/servico/sitebcb/leiautes2061')
print(data$conteudo)
Delta has introduced new economy fares that are in E class. United has something similar. When we price in Sabre Red, we now have to add #MPC-ANY to our pricing commands (For bulk fares: WPPJCB‡NCB‡MPC-ANY‡RQ, and For published fares: WPNCB‡MPC-ANY‡RQ).
How can I prevent these from showing up in the SOAP OTA_AirLowFareSearchRS request? I've not been successful in finding what to put in my OTA_AirLowFareSearchRS request. I don't see this MPC-ANY command in the documentation (https://developer.sabre.com/docs/read/soap_apis/air/search/bargain_finder_max/resources).
I guess these fares are called "Basic Economy Fares". One of the pricing SOAP requests had /Price?requestInformation/OptionalQualifiers/PricingQualifiers/BasicEconomyExclude. However, I've not found something similar for the OTA_AirLowFareSearchRS.
I found this, but there is no way to exclude Basic Economy out of Economy.
http://files.developer.sabre.com/doc/providerdoc/shopping/BargainFinderMaxRQ_v3-1-0_Design.xml
CabinPref PreferLevel="Preferred" Cabin="Y"
If you're an existing customer, a request can be filed from eservices, to request classes of service from being filtered out:
American Form = https://agencyeservices.sabre.com/Manager/Ordering/Basic-Economy-Inhibit-Request-for-American.aspx
Delta Form = https://agencyeservices.sabre.com/Manager/Ordering/Basic-Economy-Inhibit-Request-for-Delta.aspx
United Form = https://agencyeservices.sabre.com/Manager/Ordering/Basic-Economy-Inhibit-Request-for-United.aspx