First of all, you should understand that HTTP protocol based on requests. Final result of JavaScript execution will be formed HTTP request which let server respond with file content. You need to "reverse" web page, find how to create proper request and repeat it as similar as it can be done.
So, let's try to do this step by step:
- Click right mouse button on element which execute download and press "Inspect element"
- In source code you can see name of JavaScript function this element executes
- Type the name of function in console without parentheses and click button which should appear near console return (This button will open this JavaScript function in source code)
- In source code we see that function execute submit on HTML element which has id
frmDownload
. So, go back to "Inspector" tab and type this id into search box.
Now we found that this element is HTML form. This form send POST request to URL https://www.vcsprojectdatabase.org/services/publicViewServices/fetchProjectsExport
with next data:
searchTerm=
country=
sectoral_scope=0
recentProjects=
sort=projectId
dir=DESC
formatType=csv
This information is enough to try repeat this request in Python.
Let's write small script which form and send same request and save result into .csv file:
import requests
data = {
"searchTerm": "",
"country": "",
"sectoral_scope": "0",
"recentProjects": "",
"sort": "projectId",
"dir": "DESC",
"formatType": "csv"
}
file = requests.post("https://www.vcsprojectdatabase.org/services/publicViewServices/fetchProjectsExport", data)
with open("res.csv", "wb+") as f:
f.write(file.content)
Launch it and it ... works. res.csv
contains proper result.
BUT THAT'S NOT ALL. Usually everything is not so easy. To let our request look same as sent by browser we should take a look on request headers. To capture HTTP request from browser we can open "Network" tab:
Now let's press download button on web page and download csv file. In requests table now we can see our post request. Click on it and take a look on "Headers" tab into "Request headers" section.
There's Cookie header, which mostly in such as requests is not important and can be missed. But if you have some issues with request you should take a look on previous requests, find request with Set-Cookie
header in server response and repeat it.
Let's improve our script and copy important (Host, Content-Length, Connection we don't include, cause Python requests module will add them automatically; DNT and Upgrade-Insecure-Requests are not necessary at all) headers from browser.
import requests
data = {
"searchTerm": "",
"country": "",
"sectoral_scope": "0",
"recentProjects": "",
"sort": "projectId",
"dir": "DESC",
"formatType": "csv"
}
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:66.0) Gecko/20100101 Firefox/66.0",
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
"Accept-Language": "en-US,en;q=0.5",
"Accept-Encoding": "gzip, deflate, br",
"Referer": "https://www.vcsprojectdatabase.org/",
"Content-Type": "application/x-www-form-urlencoded"
}
file = requests.post("https://www.vcsprojectdatabase.org/services/publicViewServices/fetchProjectsExport", data,
headers=headers)
with open("res.csv", "wb+") as f:
f.write(file.content)
P.S. Don't forget to ask website owner for permission ??