How Abstract API Handles Email Validation
Abstract API addresses the core weaknesses of traditional methods. It combines a fast syntax check with multiple real-world deliverability tests.
- It provides typo autocorrection suggestions and a quality score to rank email addresses.
- It performs real-time MX lookups and SMTP handshakes to confirm an address can receive mail.
- It checks against frequently updated lists of disposable, free, role-based, and catch-all domains.
- Its risk model uses data from over three billion historical validations, with frequent data refreshes that require no code changes.
How to Add Abstract API to Your Dev Environment
Once you know Abstract’s capabilities, you can add its email validation API to your project with ease.
- Sign up at Abstract API and copy the Email Validation API key from your dashboard.
- Store the key as an environment variable, for example, "ABSTRACT_API_KEY". Never hard-code it.
- Add an HTTP client to your project, such as "requests" for Python or "axios" for Node.
- Write a thin wrapper that performs a GET request to the API endpoint with your key and the email as query parameters.
- Parse the JSON response. Check that "deliverability" equals "DELIVERABLE" and "is_valid_format" is "true" before you persist the address.
- Optionally, gate the endpoint with a circuit breaker based on the HTTP 4xx or 5xx codes the API returns.
import os, requests
API_KEY = os.getenv("ABSTRACT_API_KEY")
email = "johnsmith@gmail.com"
resp = requests.get("https://emailvalidation.abstractapi.com/v1/",
params={"api_key": API_KEY, "email": email}, timeout=3)
data = resp.json()
if data["deliverability"] == "DELIVERABLE" and data["is_valid_format"]["value"]:
# accept user
passSample Email Validation Implementation with Abstract API
While a regex check only confirms a string matches a pattern, it has no knowledge of deliverability. The Python snippet above sends an email address to Abstract API and receives a detailed JSON response that answers two questions: “Does it look right?” and “Will it actually land?” This happens through real-time MX lookups, SMTP handshakes, and checks against constantly refreshed lists of disposable or toxic domains.
The API returns a comprehensive data object. It includes a "deliverability" status, a machine-learning-based "quality_score", and boolean flags for format validity, disposable domains, and more. This layered result eliminates the developer hours spent on the maintenance of complex regex rules.
{
"email": "johnsmith@gmail.com",
"autocorrect": "",
"deliverability": "DELIVERABLE",
"quality_score": 0.9,
"is_valid_format": { "value": true, "text": "TRUE" },
"is_free_email": { "value": true, "text": "TRUE" },
"is_disposable_email": { "value": false, "text": "FALSE" },
"is_role_email": { "value": false, "text": "FALSE" },
"is_catchall_email": { "value": false, "text": "FALSE" },
"is_mx_found": { "value": true, "text": "TRUE" },
"is_smtp_valid": { "value": true, "text": "TRUE" }
}Final Thoughts
Traditional regex checks are brittle. They often fail to catch undeliverable addresses and incorrectly flag valid ones. Abstract API overcomes these limits with real-time deliverability tests and comprehensive domain checks. To validate user emails with confidence, create an account on Abstract API and get your free API key.
