Python 从彭博社搜集数据

我想从彭博网站上搜集数据。“IBVC:IND”下的数据 加拉加斯证券交易所的股票市场指数“需要删减

以下是我目前的代码：

import requests
from bs4 import BeautifulSoup as bs

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) '
                  'Chrome/58.0.3029.110 Safari/537.36 '
}
res = requests.get("https://www.bloomberg.com/quote/IBVC:IND", headers=headers)

soup = bs(res.content, 'html.parser')
# print(soup)
itmes = soup.find("div", {"class": "snapshot__0569338b snapshot"})

open_ = itmes.find("span", {"class": "priceText__1853e8a5"}).text
print(open_)
prev_close = itmes.find("span", {"class": "priceText__1853e8a5"}).text

---

我在HTML中找不到所需的值。我应该使用哪个库来处理这个问题？我目前正在使用BeautifulSoup和Requests。

由于这不是一个静态页面，您需要向彭博API发出请求。要了解如何操作，请转到页面，检查元素并选择“Network”，然后按“XHR”过滤并查找JSON类型。重新加载页面。我这样做了，并且相信这就是您想要的：

因为所需的值是动态加载的。在这种情况下，您可以尝试硒和美容素。以下是供您参考的示例代码：

import time
import os
from selenium import webdriver
from bs4 import BeautifulSoup

# put the driver in the folder of this code
driver = webdriver.Chrome(os.getcwd() + '/chromedriver')  

driver.get("https://www.bloomberg.com/quote/IBVC:IND")
time.sleep(3)
real_soup = BeautifulSoup(driver.page_source, 'html.parser')
open_ = real_soup.find("span", {"class": "priceText__1853e8a5"}).text
print(f"Price: {open_}")
time.sleep(3)
driver.quit()

输出：

Price: 50,083.00

---

您可以搜索chromedriver，并根据您的chrome版本下载一个chromedriver。

如其他答案所示，内容是通过JavaScript生成的，因此不在普通html中。对于给定的问题，提出了两种不同的攻角

• Selenium

  aka The Big Guns：这将让您在浏览器中实现几乎所有任务的自动化。虽然在速度方面有一定的代价

• API请求

  aka深思熟虑：这并不总是可行的。然而，如果是这样的话，那么它的效率要高得多

我将详细阐述第二个问题@ViniciusDAvila已经为这样的解决方案制定了典型的蓝图：导航到站点，检查网络，找出哪个请求负责获取数据

一旦完成，剩下的就是执行问题：

刮刀

import requests
import json
from urllib.parse import quote


# Constants
HEADERS = {
    'Host': 'www.bloomberg.com',
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:70.0) Gecko/20100101 Firefox/70.0',
    'Accept': '*/*',
    'Accept-Language': 'de,en-US;q=0.7,en;q=0.3',
    'Accept-Encoding': 'gzip, deflate, br',
    'Referer': 'https://www.bloomberg.com/quote/',
    'DNT': '1',
    'Connection': 'keep-alive',
    'TE': 'Trailers'
}
URL_ROOT = 'https://www.bloomberg.com/markets2/api/datastrip'
URL_PARAMS = 'locale=en&customTickerList=true'
VALID_TYPE = {'currency', 'index'}


# Scraper
def scraper(object_id: str = None, object_type: str = None, timeout: int = 5) -> list:
    """
    Get the Bloomberg data for the given object.
    :param object_id: The Bloomberg identifier of the object.
    :param object_type: The type of the object. (Currency or Index)
    :param timeout: Maximal number of seconds to wait for a response.
    :return: The data formatted as dictionary.
    """
    object_type = object_type.lower()
    if object_type not in VALID_TYPE:
        return list()
    # Build headers and url
    object_append = '%s:%s' % (object_id, 'IND' if object_type == 'index' else 'CUR')
    headers = HEADERS
    headers['Referer'] += object_append
    url = '%s/%s?%s' % (URL_ROOT, quote(object_append), URL_PARAMS)
    # Make the request and check response status code
    response = requests.get(url=url, headers=headers)
    if response.status_code in range(200, 230):
        return response.json()
    return list()

测试

# Index
object_id, object_type = 'IBVC', 'index'
data = scraper(object_id=object_id, object_type=object_type)
print('The open price for %s %s is: %d' % (object_type, object_id, data[0]['openPrice']))
# The open price for index IBVC is: 50094

# Exchange rate
object_id, object_type = 'EUR', 'currency'
data = scraper(object_id=object_id, object_type=object_type)
print('The open exchange rate for USD per {} is: {}'.format(object_id, data[0]['openPrice']))
# The open exchange rate for USD per EUR is: 1.0993