Python Email Verification SDK
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Quick Installation
Install the Official EmailVerify Python SDK using pip.
pip install emailverifysdk
Usage Examples
1 Real-time Email Validation
Perform instant SMTP handshake verification. Our Python library connects directly to our high-speed global network to verify mailbox existence without sending actual emails.
from emailverifysdk import Client
client = Client("your_api_key")
result = client.verify("[email protected]")
if result.is_valid:
print(f"Email is safe to send! Score: {result.score}")
else:
print(f"Danger: {result.reason}")2 High-Throughput Batch Processing
Handle millions of emails efficiently. The batch endpoint allows you to offload heavy verification tasks to our cloud workers. Use polling or webhooks to retrieve results asynchronously.
emails =["[email protected]", "[email protected]", ...]
batch_id = client.create_batch(emails)
# Later or poll
status = client.get_batch_status(batch_id)
if status.completed:
results = client.get_batch_results(batch_id)
print(f"Processed {len(results)} emails successfully.")3 Advanced Client Configuration
Fine-tune the library for mission-critical applications. Set custom timeouts, automatic retry logic, and SSL verification settings to match your enterprise security requirements.
client = Client(
api_key="your_api_key",
timeout=30.0, # Custom second timeout
max_retries=3, # Automatic retry on network glitch
verify_ssl=True # Ensure secure connections
)4 Intelligent Email Finder
Generate verified leads with high confidence. Our Finder API uses advanced heuristics and historical data to predict and verify professional email addresses based on name and domain.
profile = client.find_email(
first_name="Jane",
last_name="Smith",
domain="acme-corp.com"
)
if profile.email:
print(f"Found verified email: {profile.email}")
print(f"Confidence: {profile.confidence}%")5 Syntax & Domain Health Check
Stop bad data at the source. Validate RFC compliance and provide real-time typo corrections (like gmial.com to gmail.com) to improve user experience on your sign-up forms.
check = client.check_syntax("malformed@@email.com")
print(f"Syntax Valid: {check.is_syntax_valid}")
print(f"Correction Suggestion: {check.suggestion}") # e.g. @gmial.com -> @gmail.com6 Robust Error Handling
Build resilient applications. Our library provides specific exception classes for rate limits, authentication failures, and network timeouts, allowing you to implement graceful degradation.
try:
result = client.verify("[email protected]")
except client.RateLimitError:
print("Backing off... Please upgrade your plan.")
except client.AuthenticationError:
print("Check your API key.")
except Exception as e:
print(f"Network error: {e}")7 Asynchronous Support (Asyncio)
Optimized for modern web frameworks. Switch to our AsyncClient for use with FastAPI, Sanic, or Django Channels to manage high-concurrency verification tasks without blocking your event loop.
import asyncio
from emailverifysdk.async_client import AsyncClient
async def main():
async with AsyncClient("api_key") as client:
result = await client.verify("[email protected]")
print(result.status)
asyncio.run(main())8 MX & Infrastructure Analysis
Deep-dive into recipient infrastructure. Detect if a domain is using a disposable mail provider, a catch-all configuration, or professional ESPs like Google Workspace or Microsoft 365.
info = client.get_domain_info("google.com")
print(f"Provider: {info.provider}") # e.g. Google Workspace
print(f"Accepts All: {info.is_catch_all}")
print(f"Is Disposable: {info.is_disposable}")Frequently Asked Questions
Is an API key required to use the Python SDK?
Yes, you need a valid API key from your EmailVerify.io dashboard. You can sign up for a free account to get your key instantly.
How accurate are the Python SDK results?
Our Python SDK provides 99%+ accuracy by using real-time SMTP handshake checks and advanced disposable email detection.
Can I use the Python SDK in asynchronous applications?
Yes, the SDK is lightweight and can be easily used within asynchronous frameworks like FastAPI or with libraries like asyncio.
Does the Python SDK support batch verification?
Yes, it includes a validate_batch method for processing large lists of emails efficiently in the background.
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