Laden Sie eine CSV-Datei mit den URLs der HTML-Seite hoch und verwenden Sie Flask, um die URLs zu lesen, die Sie crawlen möchten

Question

Ich muss derzeit ein webbasiertes System erstellen, das eine CSV-Datei mit einer Liste von URLs hochladen kann. Nach dem Hochladen liest das System die URL Zeile für Zeile und wird für den nächsten Crawling-Schritt verwendet. Hier erfordert das Crawlen, dass man sich vor dem Crawlen auf der Website anmeldet. Ich habe bereits den Quellcode für die Login-Website. Das Problem besteht jedoch darin, dass ich eine HTML-Seite namens „upload_page.html“ mit einer Flask-Datei namens „upload_csv.py“ verbinden möchte. Wo soll der Quellcode für Login und Scraping in der Flask-Datei abgelegt werden?

upload_page.html

<div class="upload">
            <h2>Upload a CSV file</h2>
                <form action="/upload" method="post" enctype="multipart/form-data">
                 <input type="file" name="file" accept=".csv">
                 <br>
                 <br>
                 <button type="submit">Upload</button>
                </form>
</div>

upload_csv.py

from flask import Flask, request, render_template
import pandas as pd
import requests
from bs4 import BeautifulSoup
import csv
import json
import time
from time import sleep
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.chrome.options import Options

app = Flask(__name__)

@app.route('/')
def index():
    return render_template('upload_page.html')

#Code for Login to the website


@app.route('/upload', methods=['POST'])
def upload():
    # Read the uploaded file
    csv_file = request.files['file']
    # Load the CSV data into a DataFrameSS
    df = pd.read_csv(csv_file)
    final_data = []
    # Loop over the rows in the DataFrame and scrape each link
    for index, row in df.iterrows():
        link = row['Link']
        response = requests.get(link)
        soup = BeautifulSoup(response.content, 'html.parser')
        start = time.time()
        # will be used in the while loop
        initialScroll = 0
        finalScroll = 1000

        while True:
            driver.execute_script(f"window.scrollTo({initialScroll},{finalScroll})")
            # this command scrolls the window starting from the pixel value stored in the initialScroll
            # variable to the pixel value stored at the finalScroll variable
            initialScroll = finalScroll
            finalScroll += 1000

            # we will stop the script for 3 seconds so that the data can load
            time.sleep(2)
            end = time.time()
            # We will scroll for 20 seconds.
            if round(end - start) > 20:
                break

        src = driver.page_source
        soup = BeautifulSoup(driver.page_source, 'html.parser')
        # print(soup.prettify())

        #Code to do scrape the website

    return render_template('index.html', message='Scraped all data')


if __name__ == '__main__':
    app.run(debug=True)

Sind mein Login- und Scraping-Code an der richtigen Stelle? Allerdings funktioniert die Kodierung nicht und nachdem ich auf den Upload-Button geklickt habe, wird sie nicht verarbeitet

Answer 1

csv_file = request.files['file']
# Load the CSV data into a DataFrame
df = pd.read_csv(csv_file)
final_data = []
# Initialize the web driver
chrome_options = Options()
chrome_options.add_argument("--headless")
chrome_options.add_argument("--disable-gpu")
driver = webdriver.Chrome(options=chrome_options)
# Loop over the rows in the DataFrame and scrape each link
for index, row in df.iterrows():
    link = row['Link']
    # Login to the website
    # Replace this with your own login code
    driver.get("https://example.com/login")
    username_field = driver.find_element_by_name("username")
    password_field = driver.find_element_by_name("password")
    username_field.send_keys("myusername")
    password_field.send_keys("mypassword")
    password_field.send_keys(Keys.RETURN)
    # Wait for the login to complete
    WebDriverWait(driver, 10).until(EC.url_changes("https://example.com/login"))
    # Scrape the website
    driver.get(link)
    start = time.time()
    # will be used in the while loop
    initialScroll = 0
    finalScroll = 1000

    while True:
        driver.execute_script(f"window.scrollTo({initialScroll},{finalScroll})")
        # this command scrolls the window starting from the pixel value stored in the initialScroll
        # variable to the pixel value stored at the finalScroll variable
        initialScroll = finalScroll
        finalScroll += 1000

        # we will stop the script for 3 seconds so that the data can load
        time.sleep(2)
        end = time.time()
        # We will scroll for 20 seconds.
        if round(end - start) > 20:
            break