Blogger Post CLI Script

日本語版ドキュメントはこちら (README.ja.md)

A Python utility to create and publish posts on Blogger using the Google Blogger API v3 from the command line.

Features

• Title and Content Specification: Create posts by passing raw HTML content strings or specifying a path to an HTML file.
• Draft or Live Status: Save as a draft or publish immediately to your blog.
• Labels Management: Attach comma-separated labels (tags) to your posts.
• OAuth 2.0 Authentication: Automatically handles authorization via web browser and securely caches tokens locally.
• Update and History Tracking: Update existing posts using blogger_update.py. Post history is automatically saved to post_history.json.
• Fetch Post Information: Retrieve current live status, content, and other metadata of existing posts directly from Blogger using blogger_get.py. Output can be dynamically filtered by specific fields.
• Module Support: Import modules into other Python scripts to programmatically create or update posts.
• Multi-Blog Support: Dynamically route posts to different blogs based on genre or alias using the --target_blog parameter.
• MCP Server Support: Includes Blogger_mcp_server.py (FastMCP) allowing AI assistants to post or update articles directly.

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Setup Instructions

1. Install Dependencies

Create a Python 3.x virtual environment and install the required packages:

# Create virtual environment
python3 -m venv venv

# Activate virtual environment
source venv/bin/activate

# Install required packages
pip install -r requirements.txt

2. Configure Environment Variables and Credentials

To run this tool, you need to set up two configuration files in the script directory:

1. .env File Create a .env file in the same directory as the script with the following content:

   BLOG_ID=YOUR_DEFAULT_BLOG_ID
   BLOG_ID_SITE1=YOUR_SITE1_BLOG_ID (Optional: links with --target_blog site1)
   BLOG_ID_SITE2=YOUR_SITE2_BLOG_ID (Optional: links with --target_blog site2)
   GCS_BUCKET_NAME=YOUR_GCS_BUCKET_NAME
   GCP_PROJECT_ID=YOUR_GCP_PROJECT_ID
   

2. client_secret.json File Download your Desktop Application OAuth 2.0 client credentials JSON file from the Google Cloud Console, rename it to client_secret.json, and place it in the script directory.

3. GCS Authentication for Image Uploads (ADC) To use the image upload feature (image_post.py), run the following command locally and complete the browser authentication for Application Default Credentials (ADC):

   gcloud auth application-default login
   

[!WARNING] For security, .env, client_secret.json, and the auto-generated token.json are excluded from Git commits via .gitignore. Be careful not to expose your credentials.

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Usage

Make sure your virtual environment is activated before running the script.

Create a Post (Save as Draft)

Provide a title and HTML string content to save a draft post:

python blogger_post.py \
  --title "My First API Post" \
  --content "<h1>Hello World</h1><p>This is a test post from Blogger API.</p>"

Read from HTML File and Publish (Live Status)

Specify an HTML file path using --file and set --status live to publish the post immediately:

python blogger_post.py \
  --title "Article Loaded from HTML File" \
  --file "path/to/article.html" \
  --status live

Add Labels to Your Post

Pass labels as a comma-separated string using the --labels option:

python blogger_post.py \
  --title "Post with Labels" \
  --content "<p>Testing Blogger API v3 labels.</p>" \
  --labels "Python, Blogger API, Test"

Route Post to a Specific Blog (Multi-Blog Support)

If you have configured multiple blog IDs in your .env (e.g., BLOG_ID_SITE1), use the --target_blog argument to dynamically switch the destination:

python blogger_post.py \
  --title "Site 1 News" \
  --content "<p>This goes to the site1 blog.</p>" \
  --target_blog "site1"

Update an Existing Post

Use blogger_update.py to update an existing post by its post_id:

python blogger_update.py \
  --post_id 1234567890123456789 \
  --title "Updated Title" \
  --content "<p>Updated content.</p>" \
  --status live

Note: Successful posts and updates are automatically recorded in post_history.json.

Fetch Post Information

Use blogger_get.py to retrieve the current status, content, or other metadata of a specific post_id. You can extract only specific fields using the --fields argument.

Available Fields (--fields):

• id: The ID of the post
• title: The title of the post
• status: The publication status (e.g., LIVE, DRAFT, SCHEDULED)
• url: The public URL of the post
• labels: A list of labels (tags) attached to the post
• content: The HTML content of the post
• published: The time the post was published
• updated: The time the post was last updated
• replies: Comment information
• author: Information about the author

python blogger_get.py \
  --post_id 1234567890123456789 \
  --fields "title,status,url"

Use as a Module

You can also import the script into other Python projects:

from blogger_post import post_article

try:
    url = post_article(
        title="My API Post",
        content="<p>This is posted via Python module.</p>",
        labels=["Python", "Module"],
        status="draft"
    )
    print(f"Posted successfully: {url}")
except Exception as e:
    print(f"Failed to post: {e}")

Use as an MCP Server

The included Blogger_mcp_server.py script runs a FastMCP server. By configuring your AI assistant (e.g., Claude) to use this script as an MCP server, it exposes the following tools:

• post_to_blogger: Publish or draft new articles and automatically save the history locally. Accepts target_blog to route posts dynamically.
• update_blogger_post: Update existing articles by their post_id and sync the local history. Also accepts target_blog.
• upload_image_to_gcs: Uploads a single local image to GCS (automatically converts to WebP and resizes) and returns the public URL.
• replace_html_images_with_gcs: Reads local image links within an HTML document, uploads all of them to GCS, and returns a new HTML string with replaced image URLs.
• get_blogger_post: Retrieves the current information of a specific post directly from the Blogger API. You can specify which fields (e.g., status, url) to extract.

Note: Ensure the mcp, google-cloud-storage, Pillow, and beautifulsoup4 packages are installed (pip install -r requirements.txt) before running the MCP server.

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Error Handling

If any issue occurs, the script catches the exception and outputs localized troubleshooting advice:

• File Errors: Warns you if the HTML file is missing, lacks read permissions, or is not UTF-8 encoded.
• Network Connection Errors: Catches failures when there is no internet connection, Google servers are unreachable, or the request times out (maximum 30-second socket timeout to prevent hanging).
• HTTP Errors (403, 404, 500, etc.): Suggests causes and fixes depending on the status code (e.g. check Blogger API enablement for 403, verify BLOG_ID for 404, or wait for Google servers for 500).
• Authentication Errors: Guides you if credentials are invalid or expired. This includes a 120-second timeout for the local browser OAuth flow; if it times out (common when your Google Cloud project is in "Testing" mode and the current account is not registered as a "Test User"), the script will abort and print steps to configure test users in Google Cloud Console.

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License

This project is licensed under the MIT License - see the LICENSE file for details.

Disclaimer

• This script is provided "AS IS", without warranty of any kind.
• The authors are not responsible for any damage, data loss, or API quota consumption caused by using this software.
• Please comply with Google's API terms of service when using this tool.