Cross-Posting Project Update: Automating Posts Across Medium, LinkedIn, and DEV.to

jesse_chong_3bcc276c4f950

Jesse Chong

Posted on October 10, 2024

Cross-Posting Project Update: Automating Posts Across Medium, LinkedIn, and DEV.to

šŸŒ Excited to Share My Latest Work!
Iā€™m thrilled to give an update on a new tool Iā€™ve been building, which automates cross-posting across Medium, LinkedIn, and DEV.to. This has been a fantastic learning journey, and although thereā€™s still more to fine-tune, itā€™s already operational! šŸŽ‰

šŸ› ļø Technologies Used:
Backend: Node.js, Express
APIs:LinkedIn API, Medium API, DEV.to API, RSS Parser
Libraries: RSS-Parser, Axios

šŸ” Project Overview:
The goal of this project is to streamline the content sharing process across multiple platforms, allowing me to post once and have the content automatically shared on LinkedIn, Medium, and DEV.to. This system converts HTML content to markdown, extracts images, and ensures the correct formatting across all platforms.

šŸ—ļø Key Features:

Automated Cross-Posting: Posts made on Medium automatically get shared on LinkedIn and DEV.to (and viceĀ versa).HTML to Markdown Conversion: Ensures the content is formatted correctly for each platform, including image extraction.Integration with APIs: Secure authentication using access tokens for LinkedIn, Medium, andĀ DEV.to.šŸ’” Challenges & Solutions:

Challenge 1: Working with multiple APIs and managing authentication tokens.
Solution: I separated the API interactions into different files and used environment variables to handle access tokens securely.

Challenge 2: Creating a Privacy Policy to comply with LinkedInā€™s API requirements and obtain an access token.
Solution: I had to research and write a comprehensive privacy policy, outlining how data would be used, to meet LinkedInā€™s developer guidelines.

Challenge 3: Converting HTML content to Markdown for posting on DEV.to and Medium.
Solution: I researched and used HTML-to-Markdown conversion libraries, and learned how to write regex for contentĀ parsing.

Challenge 4: Extracting images from HTML and embedding them correctly in the markdown.
Solution: I created a function that parses the HTML, finds image tags, and converts them into markdown-compatible imageĀ links.

šŸš€ What IĀ Learned:

Sharpen ability to integrate and work with multiple APIs efficiently.The importance of organizing code by separating concerns (e.g., API handling, token management).How to convert HTML to markdown and deal with content formatting across platforms.Improved my regex skills, which helped with parsing HTMLĀ content.šŸŒŸ Reflection

The earlier you organize your project structure the easier it is to continue working on it when you have to stop for aĀ while.

There is a heck of a lot to learn in the tech field and I humbly welcomeĀ it.

šŸ”— Check Out the repo: https://github.com/Jesse-Chong/Cross-post-server

Thank you for reading! Iā€™d love to hear your thoughts.

APIs #Automation #WebDevelopment #NodeJS #CrossPosting #Regex #Markdown #ContentCreation #FullStackDevelopment #SoftwareEngineering #ProjectManagement

Originally published at Medium

šŸ’– šŸ’Ŗ šŸ™… šŸš©
jesse_chong_3bcc276c4f950
Jesse Chong

Posted on October 10, 2024

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