# RSS to JSON — Structured Feed Data for AI (`wsgcjj/rss-to-json`) Actor
Convert any RSS or Atom feed to clean structured JSON. Perfect for AI agents, content aggregation, news monitoring, and data pipelines.
- **URL**: https://apify.com/wsgcjj/rss-to-json.md
- **Developed by:** [陈俊杰](https://apify.com/wsgcjj) (community)
- **Categories:** AI, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
Pay per usage
This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## RSS/Atom Feed to JSON Converter
[](https://apify.com)
Convert any **RSS 2.0** or **Atom** feed into clean, structured JSON.
Designed for **AI agents**, **content aggregation pipelines**, **news monitoring**, and **data integration** workflows.
### Features
- ✅ Supports RSS 2.0 and Atom feeds
- ✅ Outputs structured JSON with: `title`, `link`, `published`, `author`, `summary`, `content`, `tags`, `feed_title`, `feed_link`
- ✅ Configurable max items (default: 50)
- ✅ Optionally include full article content
- ✅ Full error handling and logging
- ✅ Pay-per-event pricing ($0.003/item)
### Input
| Field | Type | Required | Default | Description |
|------------------|---------|----------|---------|---------------------------------|
| `feed_url` | string | ✅ Yes | — | URL of the RSS/Atom feed |
| `max_items` | integer | ❌ No | `50` | Max number of articles to fetch |
| `include_content`| boolean | ❌ No | `true` | Include full article body |
### Output (per item)
```json
{
"title": "Article Title",
"link": "https://example.com/article",
"published": "2025-05-29T12:00:00+00:00",
"author": "Author Name",
"summary": "Short description of the article…",
"content": "Full HTML article body…
",
"tags": ["tag1", "tag2"],
"feed_title": "My Blog",
"feed_link": "https://example.com/feed.xml"
}
````
### Usage
#### Apify Platform
1. Go to [Actor detail page](https://apify.com/actors)
2. Click **Try** or **Run**
3. Enter a feed URL and optional parameters
4. Download results as JSON, CSV, XML, etc.
#### Local development
```bash
## Install dependencies
pip install -r requirements.txt
## Run the actor
python -m src
```
Set the `APIFY_LOCAL_EMULATOR_DIR` environment variable for local data storage.
### Pricing
Charged **$0.003 per dataset item** pushed. See [pay-per-event.json](.actor/pay_per_event.json).
### License
MIT
# Actor input Schema
## `feed_url` (type: `string`):
URL of the RSS 2.0 or Atom feed to fetch.
## `max_items` (type: `integer`):
Maximum number of items (articles) to retrieve from the feed.
## `include_content` (type: `boolean`):
If enabled, includes the full article body (if available in the feed). Some feeds only provide a summary — in that case the content field will mirror the summary.
## Actor input object example
```json
{
"feed_url": "https://blog.quantumly.dev/rss/",
"max_items": 50,
"include_content": true
}
```
# Actor output Schema
## `title` (type: `string`):
Article title (from or <title type="html">).
## `link` (type: `string`):
Permanent URL of the article (from <link>).
## `published` (type: `string`):
ISO-8601 publication datetime, or raw string if parsing failed.
## `author` (type: `string`):
Author name (from <author>, <dc:creator>, or <author><name>).
## `summary` (type: `string`):
Short summary / description of the article.
## `content` (type: `string`):
Full HTML content of the article (omitted when include\_content=false).
## `tags` (type: `string`):
List of category tags.
## `feed_title` (type: `string`):
Title of the parent feed.
## `feed_link` (type: `string`):
URL of the parent feed.
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
token: '<YOUR_API_TOKEN>',
});
// Prepare Actor input
const input = {
"feed_url": "https://blog.quantumly.dev/rss/",
"max_items": 50
};
// Run the Actor and wait for it to finish
const run = await client.actor("wsgcjj/rss-to-json").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")
# Prepare the Actor input
run_input = {
"feed_url": "https://blog.quantumly.dev/rss/",
"max_items": 50,
}
# Run the Actor and wait for it to finish
run = client.actor("wsgcjj/rss-to-json").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"feed_url": "https://blog.quantumly.dev/rss/",
"max_items": 50
}' |
apify call wsgcjj/rss-to-json --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=wsgcjj/rss-to-json",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "RSS to JSON — Structured Feed Data for AI",
"description": "Convert any RSS or Atom feed to clean structured JSON. Perfect for AI agents, content aggregation, news monitoring, and data pipelines.",
"version": "0.0",
"x-build-id": "TWC191xZlJPSkkdXo"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/wsgcjj~rss-to-json/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-wsgcjj-rss-to-json",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/wsgcjj~rss-to-json/runs": {
"post": {
"operationId": "runs-sync-wsgcjj-rss-to-json",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/wsgcjj~rss-to-json/run-sync": {
"post": {
"operationId": "run-sync-wsgcjj-rss-to-json",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"feed_url"
],
"properties": {
"feed_url": {
"title": "Feed URL",
"pattern": "^https?://",
"type": "string",
"description": "URL of the RSS 2.0 or Atom feed to fetch."
},
"max_items": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000,
"type": "integer",
"description": "Maximum number of items (articles) to retrieve from the feed.",
"default": 50
},
"include_content": {
"title": "Include Full Content",
"type": "boolean",
"description": "If enabled, includes the full article body (if available in the feed). Some feeds only provide a summary — in that case the content field will mirror the summary.",
"default": true
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```