I have an issue, I would like to scrap all french stocks (10 pages) through this website : https://www.zonebourse.com/bourse/actions/Europe-3/France-51

but when I go to the 2nd page, the end of the url is random, for example :
once it's zonebourse.com/bourse/actions/Europe-3/France-51/_BF3L50/
then another time it's zonebourse.com/bourse/actions/Europe-3/France-51/_4FXnaa/
etc
it's the same issue for the others pages too ..

there is no pattern ! How can I do ?

Here my code if the url was
zonebourse.com/bourse/actions/Europe-3/France-51/1
zonebourse.com/bourse/actions/Europe-3/France-51/2
...

import requests
from bs4 import BeautifulSoup

links = []

for i in range(10):
  url = 'https://www.zonebourse.com/bourse/actions/Europe-3/France-51/'   str(i)
  response = requests.get(url)

  if response.ok:
     soup = BeautifulSoup(response.text, 'lxml')
     tds = soup.findAll('td')
    
      for td in tds:
        a = td.find('a')
        if a != None:
          link = a['href']
          if link.startswith('/cours/action/'):
              links.append('https://www.zonebourse.com' link)

print(links)

thanks !

CodePudding user response：

Try:

import json
import requests
import pandas as pd
from bs4 import BeautifulSoup

json_data = {
    "TRBC": 0,
    "TRBC_chain": [""],
    "aSectors": [[], [], [], [], []],
    "aLists": [[], [], [], []],
    "markets": [
        40,
        43,
        44,
        45,
        46,
        47,
        48,
        49,
        50,
        51,
        53,
        54,
        55,
        56,
        57,
        58,
        59,
        60,
        61,
        62,
        63,
        64,
        67,
        69,
        70,
        71,
        72,
        73,
        74,
        75,
        76,
        77,
        78,
        79,
        80,
        81,
        82,
    ],
    "capi_min": 2,
    "capi_max": 10,
    "liqu_min": 0,
    "liqu_max": 10,
    "tri": [0, 1, 2, 3, 4, 5],
    "ord": ["N", "N", "N", "D", "N", "N"],
    "special_option_news": "",
    "special_option_date": "",
    "special_dynamic": "",
    "special_partner": "",
    "result_mode": 7,
    "crit": [],
    "page": 1,
    "sMode": "AF2",
}

api_url = "https://www.zonebourse.com/outils/mods_a/moteurs_results.php?ResultMode=7&model=3"

all_data = []
for json_data["page"] in range(1, 3):
    data = {
        "Req": json.dumps(json_data),
        "bJSON": "true",
        "scrollMode": "false",
    }

    soup = BeautifulSoup(
        requests.post(api_url, data=data).content, "html.parser"
    )

    for row in soup.table.select("tr")[1:]:
        tds = [td.get_text(strip=True, separator=" ") for td in row]
        all_data.append(tds)

headers = [
    "col0",
    "Société",
    "Cours",
    "col3",
    "Capitalisation (M$)",
    "Varia. 1janv",
    "Secteur",
    "col7",
]
print(pd.DataFrame(all_data, columns=headers).head().to_markdown())

Prints: