Python Substack

Write Substack posts in Markdown and safely create, inspect, schedule, and publish them through Python, a command-line interface, or MCP.

Documentation · Getting started · PyPI

[!IMPORTANT] Creating and publishing are separate operations. substack drafts create always creates an unpublished draft. It never schedules, sends, publishes, or deletes content.

From Markdown to a Substack draft

Install the package:

pip install python-substack

Check the selected account and publication:

substack status

Create a safe unpublished draft, then publish only when it is ready:

substack drafts create post.md
substack drafts publish 12345 --no-send

Publishing and deletion require confirmation. Noninteractive and JSON workflows must pass --yes explicitly.

Markdown source:

Substack result:

What it supports

• Create rich Substack drafts from Markdown.
• Upload local images referenced by Markdown.
• Set audience, comment permissions, SEO metadata, slug, sections, and tags.
• List and inspect publications and drafts.
• Schedule, unschedule, publish, and delete drafts with explicit safeguards.
• Use stable JSON envelopes in scripts and automation.
• Authenticate with browser cookies or email and password.
• Use the same publishing workflow from Python or an optional MCP server.

Setup

Copy .env.example to .env and configure one authentication method:

EMAIL=
PASSWORD=
PUBLICATION_URL=
COOKIES_PATH=
COOKIES_STRING=

Cookie authentication is usually more reliable when Substack requires captcha or magic-link sign-in. See Authentication for cookie export instructions and account-selection details.

Verify the installation without authenticating:

substack --version
substack --help

CLI

Create a draft with metadata:

substack --json drafts create post.md \
  --title "My Post" \
  --subtitle "Optional subtitle" \
  --tag python \
  --tag substack \
  --slug my-post \
  --search-engine-title "SEO title" \
  --search-engine-description "SEO description"

Inspect publications and drafts:

substack publications list
substack drafts list --limit 10
substack drafts get 12345
substack --publication-url https://example.substack.com drafts list

Manage scheduling:

substack drafts schedule 12345 --at 2026-08-01T09:00:00+03:00
substack drafts unschedule 12345

Publish or delete intentionally:

substack drafts publish 12345 --no-send
substack drafts delete 12345 --yes

Global options such as --json, --cookies, and --publication-url must appear before the command:

substack --json drafts list
substack --cookies cookies.json --json status

The original standalone commands remain supported. See Legacy CLI commands.

Python

import os

from dotenv import load_dotenv
from substack import Api

load_dotenv()

api = Api(
    email=os.getenv("EMAIL"),
    password=os.getenv("PASSWORD"),
    publication_url=os.getenv("PUBLICATION_URL"),
)

result = api.create_draft_from_markdown(
    title="Shipping with Python",
    subtitle="A short note from a script",
    markdown="""
# Hello

This draft was created from **Markdown**.

![Alt text](https://example.com/image.png "Image caption")
""",
    tags=["python", "automation"],
    slug="shipping-with-python",
)

print(result["draft"]["id"])

create_draft_from_markdown creates a draft by default. It publishes only when publish=True is passed.

For direct ProseMirror node construction, see the low-level Python API. YAML workflows are documented in YAML drafts.

Markdown

Supported Markdown includes headings, paragraphs, bold, italic, inline code, strikethrough, superscript, subscript, links, images, linked images, image captions, code blocks, blockquotes, ordered and unordered lists, horizontal rules, footnotes, LaTeX math, pull quotes, and callouts.

from substack.post import Post

post = Post("Title", "Subtitle", user_id=1)
post.from_markdown(
    """
# Heading

Paragraph with **bold**, *italic*, `code`, and [links](https://example.com).
"""
)

Pass api= to upload local images while rendering:

post.from_markdown(markdown_content, api=api)

See the complete Markdown reference.

MCP

Install and run the optional MCP server:

pip install "python-substack[mcp]"
substack-mcp

The MCP tools use the same environment variables and SDK behavior as the CLI. See MCP server for the tool list and safety notes.

Project documentation

• Documentation site
• Installation and first draft
• Unified CLI
• Python SDK
• Authentication
• Markdown reference
• Legacy CLI commands
• Low-level Python API
• YAML drafts
• MCP server
• Gemini CLI with Vertex AI
• Safety and publishing behavior
• Troubleshooting
• Compatibility policy
• Contributing
• Security policy
• Changelog

Compatibility

The project preserves existing Python APIs, console commands, CLI behavior, environment variables, JSON keys, and MCP tool signatures through the 1.x series. Additive capabilities may be introduced. See the compatibility policy.

Disclaimer

This project is not affiliated with Substack. It uses undocumented Substack interfaces that may change without notice.