Question 1

How do I self-host API.RSS on my own server?

Accepted Answer

You can clone the GitHub repository and follow the wiki for setup, but it requires configuring Ruby on Rails, PostgreSQL, Redis, and ElasticSearch. However, as it's deprecated, you may face compatibility issues with modern dependencies.

Question 2

What's the difference between API.RSS and Superfeedr?

Accepted Answer

API.RSS is a self-hosted, open-source tool with ML enrichment, while Superfeedr is a commercial hosted service focused on real-time feed updates. API.RSS offers more control but demands infrastructure management and is unmaintained.

Question 3

How does the machine learning enrichment work in API.RSS?

Accepted Answer

It uses Dandelion's API for semantic text analytics to add features like sentiment analysis and categorization to feed entries, as shown in the example output with 'sentiment' and 'categories' fields in the JSON response.

Question 4

Can API.RSS handle high-traffic applications?

Accepted Answer

In theory, yes, due to Sidekiq for background processing and ElasticSearch for search, but being unmaintained, it lacks modern optimizations and scalability assurances, so thorough testing is necessary.

Question 5

What are the costs of running API.RSS with Dandelion?

Accepted Answer

Beyond server costs for hosting the stack, you may incur fees for Dandelion API usage if exceeding free limits, and maintenance costs for keeping the deprecated infrastructure secure and functional.

Question 6

How to integrate API.RSS with a React app like the example search engine?

Accepted Answer

You can use the REST API to fetch JSON data, as demonstrated in the curl example, and integrate it into React via fetch or Axios. The project links to a React-based search engine (datorss.com) for reference.

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