What Debugging Tools and Methods Are Available for Mechanize Scripts?
Debugging Mechanize scripts effectively requires a combination of built-in debugging features, logging techniques, and external tools. This comprehensive guide covers all the essential debugging methods and tools available for troubleshooting Mechanize-based web scraping applications.
Built-in Mechanize Debugging Features
HTTP Transaction Logging
Mechanize provides built-in logging capabilities that allow you to monitor HTTP requests and responses:
require 'mechanize'
# Enable logging to see all HTTP transactions
agent = Mechanize.new
agent.log = Logger.new(STDOUT)
agent.log.level = Logger::DEBUG
# Set verbose logging for detailed output
agent.log.level = Logger::INFO
# Navigate to a page with logging enabled
page = agent.get('https://example.com')
Request History Tracking
Mechanize maintains a history of all requests, which is invaluable for debugging navigation flows:
agent = Mechanize.new
# Visit multiple pages
agent.get('https://example.com')
agent.get('https://example.com/login')
agent.get('https://example.com/dashboard')
# Examine request history
agent.history.each_with_index do |page, index|
puts "#{index}: #{page.uri} - #{page.title}"
end
# Access specific pages from history
previous_page = agent.history[-2] # Second to last page
puts "Previous page: #{previous_page.uri}"
Cookie Management Debugging
Monitor and debug cookie behavior throughout your scraping session:
agent = Mechanize.new
# Enable cookie debugging
agent.cookie_jar.load_cookiestash('/path/to/cookies.txt') if File.exist?('/path/to/cookies.txt')
# After making requests, inspect cookies
agent.cookie_jar.each do |cookie|
puts "Cookie: #{cookie.name} = #{cookie.value} (domain: #{cookie.domain})"
end
# Save cookies for inspection
agent.cookie_jar.save_as('/tmp/debug_cookies.txt')
Error Handling and Exception Debugging
Comprehensive Error Handling
Implement robust error handling to catch and debug various types of failures:
require 'mechanize'
def debug_mechanize_request(url)
agent = Mechanize.new
agent.user_agent_alias = 'Windows Chrome'
begin
page = agent.get(url)
puts "Successfully retrieved: #{page.title}"
return page
rescue Mechanize::ResponseCodeError => e
puts "HTTP Error: #{e.response_code} - #{e.message}"
puts "Response body: #{e.page.body if e.page}"
rescue Mechanize::RedirectLimitReachedError => e
puts "Too many redirects: #{e.message}"
puts "Redirect chain:"
e.redirects.each_with_index do |redirect, index|
puts " #{index + 1}. #{redirect}"
end
rescue Net::TimeoutError => e
puts "Request timeout: #{e.message}"
rescue SocketError => e
puts "Network error: #{e.message}"
rescue StandardError => e
puts "Unexpected error: #{e.class} - #{e.message}"
puts e.backtrace.join("\n")
end
end
# Usage
debug_mechanize_request('https://example.com')
Form Submission Debugging
Debug form interactions with detailed error reporting:
def debug_form_submission(agent, form_selector, form_data)
begin
page = agent.current_page
form = page.form(form_selector)
if form.nil?
puts "ERROR: Form not found with selector: #{form_selector}"
puts "Available forms:"
page.forms.each_with_index do |f, index|
puts " #{index}: #{f.name || f.action || 'unnamed'}"
end
return nil
end
# Log form fields before filling
puts "Form fields before filling:"
form.fields.each do |field|
puts " #{field.name}: #{field.value} (type: #{field.class})"
end
# Fill form data
form_data.each do |field_name, value|
field = form.field(field_name)
if field
field.value = value
puts "Set #{field_name} = #{value}"
else
puts "WARNING: Field '#{field_name}' not found"
end
end
# Submit and handle response
result_page = agent.submit(form)
puts "Form submitted successfully to: #{result_page.uri}"
return result_page
rescue => e
puts "Form submission error: #{e.message}"
puts "Current page URL: #{agent.current_page.uri}"
puts "Form action: #{form.action if form}"
raise e
end
end
Network Traffic Analysis
Proxy-based Debugging
Use proxy tools like Charles, Burp Suite, or mitmproxy to inspect HTTP traffic:
agent = Mechanize.new
# Configure proxy for traffic inspection
agent.set_proxy('127.0.0.1', 8080) # Charles Proxy default
# For HTTPS debugging with self-signed certificates
agent.agent.http.verify_mode = OpenSSL::SSL::VERIFY_NONE
agent.agent.http.ca_file = nil
# Now all requests will go through the proxy for inspection
page = agent.get('https://example.com')
Request/Response Headers Debugging
Examine HTTP headers for debugging authentication and caching issues:
agent = Mechanize.new
# Add custom headers for debugging
agent.request_headers = {
'Accept' => 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
'Accept-Language' => 'en-US,en;q=0.5',
'Accept-Encoding' => 'gzip, deflate',
'DNT' => '1',
'Connection' => 'keep-alive',
'Upgrade-Insecure-Requests' => '1'
}
page = agent.get('https://example.com')
# Inspect response headers
puts "Response Headers:"
page.response.each_header do |name, value|
puts " #{name}: #{value}"
end
# Check for specific headers
puts "Content-Type: #{page.response['content-type']}"
puts "Set-Cookie: #{page.response['set-cookie']}"
puts "Server: #{page.response['server']}"
Advanced Debugging Techniques
Page Content Analysis
Debug parsing issues by examining page structure:
def analyze_page_content(page)
puts "=== Page Analysis ==="
puts "URL: #{page.uri}"
puts "Title: #{page.title}"
puts "Encoding: #{page.encoding}"
puts "Content-Type: #{page.response['content-type']}"
puts "Body length: #{page.body.length} characters"
# Check for common elements
puts "\n=== Element Counts ==="
puts "Links: #{page.links.length}"
puts "Forms: #{page.forms.length}"
puts "Images: #{page.images.length}"
# Look for JavaScript or dynamic content indicators
puts "\n=== JavaScript Detection ==="
script_tags = page.search('script').length
puts "Script tags: #{script_tags}"
if script_tags > 0
puts "WARNING: Page contains JavaScript - content may be dynamically generated"
end
# Check for error indicators in content
error_indicators = ['error', 'exception', '404', '500', 'not found']
error_indicators.each do |indicator|
if page.body.downcase.include?(indicator)
puts "WARNING: Page content contains '#{indicator}'"
end
end
end
# Usage
agent = Mechanize.new
page = agent.get('https://example.com')
analyze_page_content(page)
Session State Debugging
Track and debug session state throughout your scraping workflow:
class MechanizeDebugger
attr_reader :agent, :session_log
def initialize
@agent = Mechanize.new
@session_log = []
setup_debugging
end
def setup_debugging
@agent.log = Logger.new(STDOUT)
@agent.log.level = Logger::INFO
# Hook into page retrievals
class << @agent
alias_method :original_get, :get
def get(uri, parameters = [], referer = nil, headers = {})
start_time = Time.now
result = original_get(uri, parameters, referer, headers)
end_time = Time.now
@debugger.log_request(uri, result, end_time - start_time) if @debugger
result
end
end
@agent.instance_variable_set(:@debugger, self)
end
def log_request(uri, page, duration)
@session_log << {
timestamp: Time.now,
uri: uri.to_s,
title: page.title,
status: page.code,
duration: duration,
cookies: @agent.cookie_jar.cookies(uri).length
}
puts "#{Time.now.strftime('%H:%M:%S')} | #{page.code} | #{duration.round(3)}s | #{uri}"
end
def print_session_summary
puts "\n=== Session Summary ==="
puts "Total requests: #{@session_log.length}"
average_duration = @session_log.map { |log| log[:duration] }.sum / @session_log.length
puts "Average response time: #{average_duration.round(3)}s"
puts "\nRequest history:"
@session_log.each_with_index do |log, index|
puts " #{index + 1}. #{log[:uri]} (#{log[:status]}) - #{log[:duration].round(3)}s"
end
end
end
# Usage
debugger = MechanizeDebugger.new
debugger.agent.get('https://example.com')
debugger.agent.get('https://example.com/about')
debugger.print_session_summary
Testing and Validation Strategies
Unit Testing with RSpec
Create comprehensive tests for your Mechanize scripts:
# spec/web_scraper_spec.rb
require 'rspec'
require 'mechanize'
require 'webmock/rspec'
describe 'WebScraper' do
let(:agent) { Mechanize.new }
before do
WebMock.disable_net_connect!(allow_localhost: true)
end
it 'handles successful page retrieval' do
stub_request(:get, 'https://example.com')
.to_return(status: 200, body: '<html><title>Test</title></html>')
page = agent.get('https://example.com')
expect(page.title).to eq('Test')
end
it 'handles HTTP errors gracefully' do
stub_request(:get, 'https://example.com/404')
.to_return(status: 404, body: 'Not Found')
expect {
agent.get('https://example.com/404')
}.to raise_error(Mechanize::ResponseCodeError)
end
it 'maintains session cookies' do
stub_request(:get, 'https://example.com/login')
.to_return(
status: 200,
headers: { 'Set-Cookie' => 'session=abc123; Path=/' },
body: '<html><title>Login</title></html>'
)
agent.get('https://example.com/login')
expect(agent.cookie_jar.cookies(URI('https://example.com')).length).to eq(1)
end
end
Integration Testing
Test complete workflows with real or mock endpoints:
# spec/integration/full_workflow_spec.rb
require 'rspec'
describe 'Full Scraping Workflow', :integration do
let(:agent) { Mechanize.new }
it 'completes login and data extraction workflow' do
# Test against a local test server or staging environment
page = agent.get('http://localhost:3000/test_login')
form = page.form_with(id: 'login-form')
form.username = 'test@example.com'
form.password = 'password'
dashboard = agent.submit(form)
expect(dashboard.title).to include('Dashboard')
# Test data extraction
data_table = dashboard.search('table.data-table tbody tr')
expect(data_table.length).to be > 0
end
end
Performance Debugging
Memory Usage Monitoring
Monitor memory consumption during long-running scraping sessions:
require 'benchmark'
require 'memory_profiler'
def profile_memory_usage(&block)
report = MemoryProfiler.report do
block.call
end
puts "Memory Usage Report:"
puts "Total allocated: #{report.total_allocated_memsize} bytes"
puts "Total retained: #{report.total_retained_memsize} bytes"
puts "Total allocated objects: #{report.total_allocated}"
puts "Total retained objects: #{report.total_retained}"
end
# Usage
profile_memory_usage do
agent = Mechanize.new
100.times do |i|
page = agent.get("https://example.com/page/#{i}")
# Process page data
end
end
Alternative Debugging with Modern Tools
While Mechanize is excellent for simpler scraping tasks, some debugging scenarios may benefit from more advanced browser automation tools. For JavaScript-heavy sites or complex debugging requirements, consider exploring how to handle browser events in Puppeteer or learn about monitoring network requests in Puppeteer for comprehensive traffic analysis.
Command Line Debugging Tools
Using curl for Quick Verification
Before diving into complex Mechanize debugging, verify that the target endpoint is accessible:
# Test basic connectivity
curl -I https://example.com
# Test with headers that match your Mechanize configuration
curl -H "User-Agent: Mechanize/2.8.5 Ruby/3.0.0" \
-H "Accept: text/html,application/xhtml+xml" \
https://example.com
# Save response for inspection
curl -v https://example.com > response.html 2> headers.txt
Network Debugging with tcpdump
For low-level network debugging:
# Monitor HTTP traffic on port 80
sudo tcpdump -i any -s 0 -A port 80
# Monitor HTTPS traffic (encrypted, but shows connection patterns)
sudo tcpdump -i any -s 0 port 443
Best Practices for Debugging
- Enable Comprehensive Logging: Always use logging in development and debugging phases
- Implement Graceful Error Handling: Catch specific exceptions and provide meaningful error messages
- Use Proxy Tools: Leverage tools like Charles or Burp Suite for network traffic analysis
- Test Incrementally: Build and test your scraper step by step
- Monitor Session State: Keep track of cookies, redirects, and form submissions
- Validate Assumptions: Regularly check that the target website structure hasn't changed
- Use Version Control: Track changes to your scraping logic to identify when issues were introduced
- Document Edge Cases: Keep notes on special handling required for specific sites
Conclusion
Effective debugging of Mechanize scripts requires a multi-layered approach combining built-in debugging features, comprehensive error handling, external tools, and systematic testing strategies. By implementing these debugging tools and methods, you'll be able to efficiently troubleshoot and resolve issues in your Mechanize-based web scraping applications, ensuring robust and reliable data extraction workflows.
The key to successful debugging is being methodical, logging comprehensively, and understanding the HTTP request/response cycle that underlies all web scraping operations. With these tools and techniques, you'll be well-equipped to handle any debugging challenges that arise in your Mechanize projects.