Skip to main content
Rilo’s WebOpsLibrary provides tools for making HTTP requests, web scraping, API calls, and URL operations. Perfect for integrating with external services and scraping web content.

​
Overview

WebOpsLibrary supports:
  • HTTP Requests: GET, POST, PUT, DELETE requests
  • Web Scraping: Extract data from web pages
  • API Integration: Call REST APIs
  • URL Operations: Parse and manipulate URLs
WebOpsLibrary is a general-purpose tool for web operations. For social media scraping, use SocialScrapingLibrary instead.

​
HTTP Requests

​
GET Requests

Fetch data from APIs or web pages: 
from library.web_ops_library import WebOpsLibrary

web_tool = WebOpsLibrary()
response = web_tool.http_get(
    url="https://api.example.com/data",
    headers={"Authorization": "Bearer token"}
)

​
POST Requests

Send data to APIs: 
response = web_tool.http_post(
    url="https://api.example.com/endpoint",
    data={"key": "value"},
    headers={"Content-Type": "application/json"}
)

​
PUT and DELETE

Update and delete resources: 
# Update
response = web_tool.http_put(
    url="https://api.example.com/resource/123",
    data={"updated": "value"}
)

# Delete
response = web_tool.http_delete(
    url="https://api.example.com/resource/123"
)

​
Web Scraping

​
Basic Scraping

Extract data from web pages: 
result = web_tool.scrape_page(
    url="https://example.com/page",
    selectors={
        "title": "h1",
        "content": ".content"
    }
)

​
Advanced Scraping

Use CSS selectors or XPath: 
result = web_tool.scrape_page(
    url="https://example.com",
    selectors={
        "items": "div.item",
        "links": "a.link"
    },
    wait_for=".content-loaded"  # Wait for element
)

​
API Integration

​
REST API Calls

Integrate with REST APIs: 
# Authenticated API call
response = web_tool.http_get(
    url="https://api.service.com/v1/data",
    headers={
        "Authorization": "Bearer YOUR_TOKEN",
        "Content-Type": "application/json"
    }
)

data = response.get("data", {})

​
Error Handling

Handle API errors gracefully: 
try:
    response = web_tool.http_get(url=api_url)
    if response.get("status_code") == 200:
        data = response.get("data")
    else:
        rilo_logger.error(f"API error: {response.get('error')}")
except Exception as e:
    rilo_logger.error(f"Request failed: {str(e)}")

​
URL Operations

​
Parse URLs

Extract components from URLs: 
parsed = web_tool.parse_url("https://example.com/path?query=value")
# Returns: scheme, domain, path, query, etc.

​
Build URLs

Construct URLs from components: 
url = web_tool.build_url(
    domain="example.com",
    path="/api/endpoint",
    query={"key": "value"}
)

​
Use Cases

API Integration

Connect to external APIs and services.

Data Collection

Scrape data from websites and services.

Webhooks

Send webhooks and handle webhook responses.

Data Sync

Sync data between different services.

​
Best Practices

Always include proper headers (Content-Type, Authorization, etc.) for API calls.
Always check response status codes and handle errors appropriately.
Implement rate limiting and retry logic for external APIs.
Cache API responses when appropriate to reduce calls and improve performance.

​
Limitations

​
Web Scraping Limitations

  • No JavaScript execution: Cannot execute JavaScript on pages
  • Static content only: Only scrapes static HTML content
  • Rate limits: Must respect website rate limits
  • Terms of service: Must comply with website ToS

​
API Limitations

  • Authentication required: Some APIs require authentication
  • Rate limits: API rate limits apply
  • Error handling: Must handle API errors appropriately
Always respect website terms of service and API rate limits. Rilo provides tools, but you’re responsible for how you use them.

​
Troubleshooting

  • Check URL is correct and accessible
  • Verify headers are set correctly
  • Ensure authentication is valid
  • Check network connectivity
  • Verify selectors are correct
  • Check if content is loaded dynamically (JavaScript)
  • Ensure page is accessible
  • Try different selectors
  • Implement rate limiting
  • Use caching to reduce calls
  • Add retry logic with backoff
  • Contact API provider for higher limits
WebOpsLibrary is a versatile tool for web operations. Use it for general web tasks, and specialized libraries for specific platforms.