I want to get the anchor tag value and nested anchor tag value from single URL using multithreading

I try to below code for get the anchor tag href and nested anchor tag value for the following URL https://www.tradeindia.com/ but not generate the exact output. below code only get the single page URL output, can any one please suggest?

import concurrent

import requests
from bs4 import BeautifulSoup
from concurrent.futures import ThreadPoolExecutor


def get_page(url):
    response = requests.get(url)
    return response.content


def extract_links(html_content):
    soup = BeautifulSoup(html_content, 'html.parser')
    links = [a['href'] for a in soup.find_all('a', href=True)]
    return links


def process_page(url):
    html_content = get_page(url)
    links = extract_links(html_content)
    return links


def main():
    start_url = 'https://www.tradeindia.com/'

    # Fetch the initial page
    start_page_content = get_page(start_url)

    # Extract links from the initial page
    start_page_links = extract_links(start_page_content)

    all_links = set(start_page_links)

    # Use ThreadPoolExecutor to parallelize the process
    with ThreadPoolExecutor(max_workers=5) as executor:
        # Submit tasks for processing each link concurrently
        future_to_url = {executor.submit(process_page, url): url for url in start_page_links}

        # Iterate through completed tasks and update the set of all links
        for future in concurrent.futures.as_completed(future_to_url):
            url = future_to_url[future]
            try:
                links_on_page = future.result()
                all_links.update(links_on_page)
            except Exception as e:
                print(f"Error processing {url}: {e}")

    # Print all the extracted links
    print("All Links:")
    print(len(all_links))
    for link in all_links:
        print(link)


if __name__ == "__main__":
    main()

You get urls from start page and you add them to all_links but this will not run executor.submit() with new urls.

It may need more complex code for this. It may need while loop which creates new submit using links_on_page and keeps on list, and another loop which checks if there are new results and get them to add to list which it will use to create new submit. etc.

And frankly, I would rather use scrapy for this because it already uses threading and code will be much simpler.

Normally scrapy needs to generate project with many files and folders but this code you can run without creating project. You can put all in one file and run as any other script - python script.py

This script also automatically write result in file .csv

import scrapy

class MySpider(scrapy.Spider):

    name = 'myspider'

    allowed_domains = ['www.tradeindia.com']

    start_urls = ['https://www.tradeindia.com/']

    def parse(self, response):
        print('\n>>> url:', response.url, '\n')

        links = response.css('a::attr(href)').extract()
        
        # create items which it will save in file `CSV`
        for url in links:
            yield {'url': url}
            
        # create requests with URL so it will process next pages
        for url in links:
            yield response.follow(url)

# --- run without project and save in `output.csv` ---

from scrapy.crawler import CrawlerProcess

c = CrawlerProcess({
    'USER_AGENT': 'Mozilla/5.0',
    'CONCURRENT_REQUESTS': 10,  # default: 16
    #'RANDOMIZE_DOWNLOAD_DELAY': True,  # default: True
    'DOWNLOAD_DELAY': 2,  # delays between requests to simulate real human - from `0.5*delay` to `1.5*delay`
    #'LOG_LEVEL': 'INFO',       # less information on screen
    'FEEDS': {'output.csv': {'format': 'csv'}}, # save in file CSV, JSON or XML
})

c.crawl(MySpider)
c.start() 

scrapy has also class LinkExtractor for this. And even special CrawlSpider for this.