AutoBloggerImageUploader

A PHP script that automates the following:

1. Fetches two images from Pexels based on a given keyword.
2. Uploads these images to an Amazon S3 bucket (or another image storage that supports API access).
3. Injects the uploaded image URLs into specific paragraphs of a provided blog post text.
4. Publishes the final post to a Blogger.com blog via the Blogger API.

Features

• Multiple API Integration: Uses Pexels API for images, AWS S3 for storage, and Google’s Blogger API for publishing.
• Configurable: Set up your own keys, tokens, and project IDs in one place.
• Paragraph-Specific Image Insertion: Automatically inserts images after the first and third paragraphs.
• Composer-Friendly: Simply install the required libraries via Composer.

Installation

1. Clone or download this repository.

2. Run the following commands to install required dependencies: composer require guzzlehttp/guzzle
   composer require aws/aws-sdk-php
   composer require google/apiclient

3. Update the define() constants in blogger_upload.php with your keys and configuration:

   • PEXELS_API_KEY
   • AWS_ACCESS_KEY / AWS_SECRET_KEY / AWS_REGION / AWS_BUCKET_NAME
   • GOOGLE_CLIENT_SECRET_PATH / GOOGLE_TOKEN_PATH
   • BLOG_ID (your Blogger numeric ID)

4. Run blogger_upload.php on your local server or hosting environment.

   • The first time you run it, you’ll be prompted for Google OAuth consent in the browser.
   • After that, your credentials will be stored in the GOOGLE_TOKEN_PATH (usually token.json).

Usage

• Place your blog post title and text in $blogTitle and $blogContent.
• Adjust the $keyword to define the search term for images.
• Call the script. Once authenticated, it will:
  1. Retrieve two images from Pexels.
  2. Upload them to your S3 bucket.
  3. Insert the images into your text.
  4. Publish the resulting post on Blogger.

Contributing

Feel free to open issues or submit pull requests. This script can be extended to support different image services, custom paragraph insertions, or more advanced text parsing.

License

This project is open-source under the MIT License.