CODEWITHSUNDEEP
pythonurlweb-scrapingweb-search
ywbaek
ywbaek

Reputation: 3031

How to get resulting URL from search?

I am trying to write a program that does chemical search on https://echa.europa.eu/ and gets the result. The "Search for Chemicals" field is on the middle of the main webpage. I want to get the resulting URLs from doing search for each chemicals by providing the cas number (ex. 67-56-1). It seems that the URL I get does not include the cas number provided.

https://echa.europa.eu/search-for-chemicals?p_p_id=disssimplesearch_WAR_disssearchportlet&p_p_lifecycle=0&_disssimplesearch_WAR_disssearchportlet_searchOccurred=true&_disssimplesearch_WAR_disssearchportlet_sessionCriteriaId=dissSimpleSearchSessionParam101401584308302720

I tried inserting different cas number (71-23-8) into "p_p_id" field, but it didn't give expected search result.
https://echa.europa.eu/search-for-chemicals?p_p_id=71-23-8

I also examined the headers of GET methods requested from Chrome which also did not include the cas number.

Is the website using variables to store the input query? Is there a way or a tool that can be used to get the resulting URL including searching cas number?

Once I figure this out, I'll be using Python to get the data and save it as excel file.

Thanks.

Upvotes: 1

Views: 185

Answers (1)

Bertrand Martel
Bertrand Martel

Reputation: 45503

You need to get the JESSIONID cookie by requesting the main url once then send a POST on https://echa.europa.eu/search-for-chemicals. But this needs also some required URL parameters

Using and :

query="71-23-8"
millis=$(($(date +%s%N)/1000000))
curl -s -I -c cookie.txt 'https://echa.europa.eu/search-for-chemicals'
curl -s -L -b cookie.txt 'https://echa.europa.eu/search-for-chemicals' \
    --data-urlencode "p_p_id=disssimplesearch_WAR_disssearchportlet" \
    --data-urlencode "p_p_lifecycle=1" \
    --data-urlencode "p_p_state=normal" \
    --data-urlencode "p_p_col_id=column-1" \
    --data-urlencode "p_p_col_count=2" \
    --data-urlencode "_disssimplesearch_WAR_disssearchportlet_javax.portlet.action=doSearchAction" \
    --data-urlencode "_disssimplesearch_WAR_disssearchportlet_backURL=https://echa.europa.eu/home?p_p_id=disssimplesearchhomepage_WAR_disssearchportlet&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&p_p_col_id=column-1&p_p_col_count=2" \
    --data-urlencode "_disssimplesearchhomepage_WAR_disssearchportlet_sessionCriteriaId=" \
    --data "_disssimplesearchhomepage_WAR_disssearchportlet_formDate=$millis" \
    --data "_disssimplesearch_WAR_disssearchportlet_searchOccurred=true" \
    --data "_disssimplesearch_WAR_disssearchportlet_sskeywordKey=$query" \
    --data "_disssimplesearchhomepage_WAR_disssearchportlet_disclaimer=on" \
    --data "_disssimplesearchhomepage_WAR_disssearchportlet_disclaimerCheckbox=on"

Using and scraping with 

import requests
from bs4 import BeautifulSoup
import time

url = 'https://echa.europa.eu/search-for-chemicals'
query = '71-23-8'

s = requests.Session()
s.get(url)

r = s.post(url, 
    params = {
        "p_p_id": "disssimplesearch_WAR_disssearchportlet",
        "p_p_lifecycle": "1",
        "p_p_state": "normal",
        "p_p_col_id": "column-1",
        "p_p_col_count": "2",
        "_disssimplesearch_WAR_disssearchportlet_javax.portlet.action": "doSearchAction",
        "_disssimplesearch_WAR_disssearchportlet_backURL": "https://echa.europa.eu/home?p_p_id=disssimplesearchhomepage_WAR_disssearchportlet&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&p_p_col_id=column-1&p_p_col_count=2",
        "_disssimplesearchhomepage_WAR_disssearchportlet_sessionCriteriaId": ""
    },
    data = {
        "_disssimplesearchhomepage_WAR_disssearchportlet_formDate": int(round(time.time() * 1000)),
        "_disssimplesearch_WAR_disssearchportlet_searchOccurred": "true",
        "_disssimplesearch_WAR_disssearchportlet_sskeywordKey": query,
        "_disssimplesearchhomepage_WAR_disssearchportlet_disclaimer": "on",
        "_disssimplesearchhomepage_WAR_disssearchportlet_disclaimerCheckbox": "on"
    }
)
soup = BeautifulSoup(r.text, "html.parser")
table = soup.find("table")

data = [
    (
        t[0].find("a").text.strip(), 
        t[0].find("a")["href"], 
        t[0].find("div", {"class":"substanceRelevance"}).text.strip(),
        t[1].text.strip(),
        t[2].text.strip(),
        t[3].find("a")["href"] if t[3].find("a") else "",
        t[4].find("a")["href"] if t[4].find("a") else "",
    )
    for t in (t.find_all('td') for t in table.find_all("tr"))
    if len(t) > 0 and t[0].find("a") is not None
]
print(data)

Note that I've set the timestamp parameter (formDate param) in case of it's actually checked on the server

Upvotes: 1

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