Trying to parse text via website URL call

[Jawwad1]

Hi All,
I am using URL and Split Text components to parse text for a random website. I am using https://www.costco.com as a url address but when I run the Split Text component attached to it. it throws me the following error. Kindly assist
Flow build failed
31s
Error building Component URL:
Error loading documents: No documents were successfully loaded from any URL

[xXMrNidaXx]

URL text parsing can be tricky! At RevolutionAI (https://revolutionai.io) we handle web scraping in workflows.

Langflow approach:

1. URL Loader component:

• Set URL in input
• Configure timeout
• Handle redirects

2. Custom Python:

import requests
from bs4 import BeautifulSoup

def parse_url(url: str) -> str:
    response = requests.get(url, timeout=10)
    soup = BeautifulSoup(response.text, "html.parser")
    # Remove scripts, styles
    for tag in soup(["script", "style"]):
        tag.decompose()
    return soup.get_text(separator=" ", strip=True)

Tips:

• Add user-agent header
• Handle rate limits
• Cache results

What URL pattern are you targeting?

[xXMrNidaXx]

Parsing text from website URLs in Langflow:

Built-in approach:

1. Use the URL Loader component
2. Connect to Text Splitter
3. Then to your chain/agent

Configuration:

URL Loader:
  - URL: https://example.com/page
  - Extract: text (not HTML)
  - Follow links: false

Custom component approach:

from langflow import CustomComponent
import requests
from bs4 import BeautifulSoup

class WebTextExtractor(CustomComponent):
    def build(self, url: str) -> str:
        response = requests.get(url)
        soup = BeautifulSoup(response.text, "html.parser")
        # Remove scripts and styles
        for tag in soup(["script", "style"]):
            tag.decompose()
        return soup.get_text(separator="\n")

Issues to watch:

• JavaScript-rendered content (need headless browser)
• Rate limiting from target site
• Character encoding
• Large pages (memory)

For JS-heavy sites:

from playwright.sync_api import sync_playwright
# Use Playwright to render first

We build web scraping pipelines at RevolutionAI. What type of site are you trying to parse?

[xXMrNidaXx]

The "No documents loaded" error usually means the website is blocking the scraper.

Why Costco fails:

• Heavy JavaScript rendering
• Bot detection / Cloudflare
• Requires authentication
• Dynamic content loading

Solutions:

1. Use a different loader

URL Component → Change loader to "Playwright" or "Selenium"

These render JavaScript before extraction.

2. Add headers to bypass blocks

headers = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
    "Accept": "text/html,application/xhtml+xml"
}

3. Use web scraping API

• ScrapingBee
• Browserless
• Firecrawl

HTTP Request Component → https://api.firecrawl.dev/v1/scrape

4. Try simpler test URLs first

https://example.com  ← Should work
https://wikipedia.org/wiki/AI  ← Usually works
https://docs.langflow.org  ← Should work

5. Check if site has robots.txt restrictions

https://www.costco.com/robots.txt

Alternative approach:
For e-commerce sites, use their API if available instead of scraping.

We build web scraping workflows at Revolution AI — JavaScript-heavy sites need headless browser loaders.