In the ever-evolving world of online content, the ability to access archived articles can be a game-changer. Whether you want to analyze past trends, revisit older topics, or compile historical data for research, accessing Medium's archived articles becomes invaluable.
This guide demonstrates how to fetch archived articles for a specific tag using the medium-api-js
library.
Before diving into the implementation, ensure you have the following:
medium-api-js
package in your project directory.dotenv
package.Run the following commands to set up your environment:
npm install medium-api-js dotenv
Here’s how the code works, step by step:
import Medium from 'medium-api-js';
import dotenv from 'dotenv';
dotenv.config();
This snippet imports the required modules. The Medium
class is part of the medium-api-js
package, while dotenv
helps load environment variables from a .env
file.
const medium = new Medium(process.env.RAPIDAPI_KEY);
An instance of the Medium
class is initialized with your RapidAPI key, which is stored securely in a .env
file. The key is necessary to authenticate your API requests.
let tag = 'technology';
let year = 2023;
let month = 6;
let next = "";
Here, query parameters are defined to filter the archived articles. You specify:
technology
).2023
).6
for June).medium.getArchivedArticles(tag, year, month, next).then(data => {
console.log('Archived Articles:', data);
});
This is where the API request is made using the getArchivedArticles
method. The method accepts the defined query parameters and returns a promise. When the promise resolves, the data is logged to the console.
Save the script as getArchivedArticles.js
, and execute it in the terminal using:
node getArchivedArticles.js
Ensure that your .env
file contains the following line with your actual API key:
RAPIDAPI_KEY=your_api_key_here
When the code runs successfully, you’ll see output similar to this:
technology
).The medium-api-js
library makes accessing Medium's archived articles both simple and efficient. Unlike manual scraping or using general HTTP request libraries, this library automates the process of pagination and filtering, saving significant time and effort.
By defining parameters like tag, year, and month, you can retrieve targeted historical data to explore trends, enhance analytics, or fuel decision-making with ease.
If you have any questions or need further assistance, feel free to reach out at nishu@mediumapi.com.