提取Instagram关注者使用JavaScript？

Question

在Instagram配置文件末尾，它曾经可以使用？__ a = 1以JSON格式获取配置文件数据，并轻松从那里提取信息。当我现在尝试时，我得到的只是：

for（;;）; {“ redirect”：“ https：\/\/www.instagram.com \/pubgm_silvanus \/code>

如果我使用以下内容：

https://www.instagram.com/pubgm_silvanus?___A=1

您是否获得了相同的功能？是否还有其他简单的方法可以使用JavaScript提取追随者号码（在这种情况下 11 ）？

这是我使用的代码：

# Press Shift+F10 to execute it or replace it with your code.
# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.
import time

import requests
from requests.exceptions import HTTPError

from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
import pandas as pd

path = 'C:\Crawling\pythonProject1\driver\chromedriver.exe'
options = Options()
# options.add_argument('--headless')
options.add_argument('--lang=en')
# options.add_argument('--disable-gpu')  # Last I checked this was necessary.

driver = webdriver.Chrome(executable_path=path, options=options)#, options=options)
df1 = pd.DataFrame(columns=['Account', 'Followers'])


def login(username, password):
    driver.get("http://www.instagram.com")

    # bypass cookie consent
    accept = WebDriverWait(driver, 10).until(
        EC.element_to_be_clickable((By.XPATH, "/html/body/div[4]/div/div/button[1]"))).click()

    # target username
    uname = WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.CSS_SELECTOR, "input[name='username']")))
    pwd = WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.CSS_SELECTOR, "input[name='password']")))

    # enter username and password
    uname.clear()
    uname.send_keys(username)
    pwd.clear()
    pwd.send_keys(password)


    time.sleep(5)
    # target the login button and click it
    button = WebDriverWait(driver, 10).until(
        EC.element_to_be_clickable((By.CSS_SELECTOR, "button[type='submit']"))).click()

    time.sleep(5)
    alert = WebDriverWait(driver, 10).until(
        EC.element_to_be_clickable((By.XPATH, '//button[contains(text(), "Not now")]'))).click()
    alert2 = WebDriverWait(driver, 15).until(EC.element_to_be_clickable((By.XPATH, '//button[contains(text(), "Not '
                                                                                   'Now")]'))).click()

    # We are logged in!

    return 0


def get_accounts_list():
    accounts_list = []
    with open("./accounts.txt") as file:
        lines = file.readlines()

    for line in lines:
        account = line.strip() + "?__a=1"
        accounts_list.append(account)
    return accounts_list


def create_data_frame(accounts_list):
    for account in accounts_list:
        try:
            driver.get(account)
            page_source = driver.page_source
            number_of_followers = page_source.split('"edge_followed_by":{"count":')[1].split('}')[0]
            df1.loc[len(df1)] = [account.split("?__a=1")[0], number_of_followers]
            df1.to_csv("accounts.csv", encoding='utf-8', index=False, header=False)
            print(account.split("?__a=1")[0], number_of_followers)
        except Exception as err:
            print(account)
            print("Error, I had to skip this account")
            continue
    return 1


def launcher(message):
    print(message)
    # Credentials.
    username = ""  # edit this
    password = ""  # and this
    try:
        login(username, password)
    except BaseException as login_err:
        print("Error occurred while trying to log in:", login_err)
    
    accounts_list = get_accounts_list()
    if create_data_frame(accounts_list):
        print("Done.")
        df1.to_csv("accounts.csv", encoding='utf-8', index=False, header=False)
        driver.close()


# Press the green button in the gutter to run the script.
if __name__ == '__main__':
    # specify the path to chromedriver.exe (download and save on your computer)
    # open the webpage
    launcher('Booting up....')```

Answer 1

您提供的此链接确实以JSON格式显示所有配置文件数据。

要获取追随者号码，请使用此路径
graphql.user.edge_followed_by.count

​