Prompt

email API for Python

Technology / Api platforms1 observationLast seen Sep 24, 2026

Latest observation

Sep 24, 2026OpenAI APIWeb search: off

Here are a few common email API options for Python, depending on what you want to do:

1) Send email via SMTP (built-in Python)

If you just need to send emails, Python’s standard library works well:

import smtplib
from email.message import EmailMessage

msg = EmailMessage()
msg["Subject"] = "Test email"
msg["From"] = "you@example.com"
msg["To"] = "recipient@example.com"
msg.set_content("Hello from Python!")

with smtplib.SMTP_SSL("smtp.gmail.com", 465) as smtp:
    smtp.login("you@example.com", "your_app_password")
    smtp.send_message(msg)

2) Email service APIs

If you want a proper email API with better deliverability, tracking, templates, etc., use services like:

  • SendGrid
  • Mailgun
  • Amazon SES
  • Postmark
  • Resend

Example: SendGrid

Install:

pip install sendgrid

Use:

from sendgrid import SendGridAPIClient
from sendgrid.helpers.mail import Mail

message = Mail(
    from_email='you@example.com',
    to_emails='recipient@example.com',
    subject='Hello',
    plain_text_content='This is a test email'
)

sg = SendGridAPIClient('YOUR_API_KEY')
response = sg.send(message)
print(response.status_code)

3) If you want to receive emails

You’d usually use:

  • IMAP with imaplib
  • a provider webhook/API (like SendGrid Inbound Parse, Mailgun routes, etc.)

If you want, I can give you:

  1. a simple SMTP example,
  2. a SendGrid/Mailgun/SES example, or
  3. a Python email sending function with attachments.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as Circuit. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.