# RSS & Atom Feed to JSON (`scrapeworks/rss-to-json`) Actor
Convert any RSS or Atom feed into clean, structured JSON. Handles both formats and normalizes them to one schema with parsed dates, authors, content, and categories.
- **URL**: https://apify.com/scrapeworks/rss-to-json.md
- **Developed by:** [Nicolas van Arkens](https://apify.com/scrapeworks) (community)
- **Categories:** Automation, Other, Open source
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## 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 📡
Turn **any RSS or Atom feed** into clean, structured JSON. Point it at one or many feed URLs — news sites, blogs, podcasts, YouTube channels, Reddit, job boards, price-drop feeds — and get back tidy, normalized records you can drop straight into a database, spreadsheet, automation, or LLM pipeline.
### Why use it
- 🔄 **One schema for everything** — RSS 2.0 and Atom feeds come out in the *same* clean format, so your downstream code never has to care which one it was
- 🗓️ **Normalized dates** — RSS (RFC 822) and Atom (ISO 8601) dates both converted to clean ISO 8601 UTC
- 📝 **Full content** — pulls `content:encoded` / Atom content, not just the summary (toggleable)
- 👤 **Authors, categories, media** — extracted even from namespaced fields (`dc:creator`, enclosures)
- 📚 **Many feeds at once** — batch any number of feed URLs in a single run
### Use cases
- **Automation** — feed RSS into Zapier, Make, Slack, or webhooks as structured data
- **Content aggregation** — combine many sources into one normalized stream
- **Monitoring** — watch news, releases, or job/price feeds and act on changes
- **AI/LLM pipelines** — clean article text and metadata ready for summarization or RAG
- **Datasets & dashboards** — collect feed data over time for analysis
### Input
| Field | Description |
|-------|-------------|
| **Feed URLs** | One or more RSS/Atom feed URLs. |
| **Max items per feed** | Cap items returned per feed. |
| **Include full content** | Include the full article body, or just summaries. |
### Output
```json
{
"title": "First Post",
"link": "https://example.com/1",
"summary": "A short summary here.",
"content": "Full body content
",
"author": "Jane Doe",
"published": "2025-06-10T09:00:00+00:00",
"updated": null,
"categories": ["tech", "news"],
"guid": "https://example.com/1",
"mediaUrl": "https://example.com/img.jpg",
"feedTitle": "Example News",
"feedUrl": "https://example.com/feed"
}
````
Export to JSON, CSV, or Excel, or pull via the Apify API. Connect to Sheets, Slack, Notion, Zapier, or Make.
### Notes
- Supports RSS 2.0, Atom, and RSS 1.0/RDF feeds.
- Independent tool; feeds remain the property of their publishers — respect each source's terms of use.
# Actor input Schema
## `feedUrls` (type: `array`):
One or more RSS or Atom feed URLs to convert. Works with news, blogs, podcasts, YouTube channel feeds, Reddit (.rss), and more.
## `maxItemsPerFeed` (type: `integer`):
Maximum number of items to return from each feed.
## `includeContent` (type: `boolean`):
Include the full article body (content:encoded / Atom content) when present. Turn off for lighter output with just summaries.
## Actor input object example
```json
{
"feedUrls": [
"https://hnrss.org/frontpage"
],
"maxItemsPerFeed": 100,
"includeContent": true
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"feedUrls": [
"https://hnrss.org/frontpage"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapeworks/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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "feedUrls": ["https://hnrss.org/frontpage"] }
# Run the Actor and wait for it to finish
run = client.actor("scrapeworks/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 '{
"feedUrls": [
"https://hnrss.org/frontpage"
]
}' |
apify call scrapeworks/rss-to-json --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapeworks/rss-to-json",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "RSS & Atom Feed to JSON",
"description": "Convert any RSS or Atom feed into clean, structured JSON. Handles both formats and normalizes them to one schema with parsed dates, authors, content, and categories.",
"version": "0.1",
"x-build-id": "87hNeRzd9IG7SozQ3"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapeworks~rss-to-json/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapeworks-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapeworks~rss-to-json/runs": {
"post": {
"operationId": "runs-sync-scrapeworks-rss-to-json",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapeworks~rss-to-json/run-sync": {
"post": {
"operationId": "run-sync-scrapeworks-rss-to-json",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"properties": {
"feedUrls": {
"title": "Feed URLs",
"type": "array",
"description": "One or more RSS or Atom feed URLs to convert. Works with news, blogs, podcasts, YouTube channel feeds, Reddit (.rss), and more.",
"items": {
"type": "string"
}
},
"maxItemsPerFeed": {
"title": "Max items per feed",
"minimum": 1,
"maximum": 1000,
"type": "integer",
"description": "Maximum number of items to return from each feed.",
"default": 100
},
"includeContent": {
"title": "Include full content",
"type": "boolean",
"description": "Include the full article body (content:encoded / Atom content) when present. Turn off for lighter output with just summaries.",
"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
}
}
}
}
}
}
}
}
}
}
```