# RSS Feed Scraper & Monitor — Any Feed to JSON, CSV, Excel (`q_services/rss-feed-monitor`) Actor

Turn any RSS or Atom feed into clean structured data. Keyword filtering, deduplication across feeds. Perfect for content monitoring.

- **URL**: https://apify.com/q\_services/rss-feed-monitor.md
- **Developed by:** [Q Services](https://apify.com/q_services) (community)
- **Categories:** News, Automation
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.20 / 1,000 article extracteds

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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Feed Scraper & Monitor — Any RSS/Atom Feed to JSON, CSV, Excel

Transforme **n'importe quel flux RSS 2.0 ou Atom** en dataset propre et structuré, prêt à exporter en JSON, CSV ou Excel — avec filtrage par mots-clés et déduplication automatique entre plusieurs flux.

Idéal pour : veille concurrentielle, monitoring de contenu, agrégation multi-sources, alimentation de workflows Make / Zapier / n8n.

**Structure de résultat (aucune valeur tierce n’est publiée) :**

```json
{
    "title": "<string>",
    "link": "<url>",
    "publishedAt": "<date-time-or-null>",
    "author": "<string-or-null>",
    "description": "<string-or-null>",
    "imageUrl": "<url-or-null>",
    "feedUrl": "<url>",
    "feedTitle": "<string-or-null>",
    "scrapedAt": "<date-time>"
}
```

### Comment l'utiliser

1. Collez une ou plusieurs URLs de flux RSS/Atom dans **URLs de flux**
2. (Optionnel) Ajoutez des **mots-clés** pour ne garder que les articles pertinents
3. Cliquez sur **Start** — les résultats apparaissent dans l'onglet *Dataset*

Astuce : planifiez un run quotidien (onglet *Schedule*) pour une veille automatique.

### Combien ça coûte ?

Tarification à l'usage, sans abonnement :

| Événement | Prix |
|---|---|
| Démarrage du run | 0,005 $ |
| Par article extrait | 0,0002 $ |

**Exemple concret : 1 000 articles ≈ 0,21 $.** Vous pouvez fixer une limite de dépense par run dans les options — l'Actor s'arrête proprement dès qu'elle est atteinte.

### Champs retournés

| Champ | Type | Toujours présent ? |
|---|---|---|
| `title` | texte | Oui |
| `link` | lien | Oui |
| `publishedAt` | date ISO | Non (`null` si absent du flux) |
| `author` | texte | Non (`null` si absent du flux) |
| `description` | texte | Non (`null` si absent du flux) |
| `imageUrl` | lien | Non (`null` si absent du flux) |
| `feedUrl` | lien | Oui |
| `feedTitle` | texte | Non (`null` si absent du flux) |
| `scrapedAt` | date ISO | Oui |

### Limitations (en toute transparence)

- Ne parse que les formats standards RSS 2.0 et Atom (couvre la quasi-totalité des flux existants)
- Ne récupère pas le contenu complet des articles derrière les liens — uniquement ce que le flux expose
- Ne contourne pas les flux nécessitant une authentification

### FAQ

**Le run se termine avec 0 résultat, pourquoi ?**
Vérifiez que l'URL est bien celle d'un flux RSS/Atom (elle se termine souvent par `/feed`, `/rss` ou `.xml`) et que vos mots-clés ne filtrent pas tous les articles. L'Actor échoue volontairement plutôt que de retourner un dataset vide.

**Puis-je surveiller plusieurs flux en un seul run ?**
Oui, ajoutez autant d'URLs que vous voulez. Les doublons entre flux sont automatiquement supprimés (par lien).

**Puis-je l'utiliser via API ?**
Oui, chaque Actor Apify est appelable par API et via MCP. Voir l'onglet *API* de cette page.

**Les données sont-elles à jour ?**
Chaque run extrait le contenu du flux en temps réel au moment de l'exécution.

**Est-ce légal ?**
Les flux RSS sont publiés par les sites précisément pour être consommés par des outils. L'Actor n'extrait que des données publiquement accessibles. Vous restez responsable de l'usage que vous faites des données.

### Verified automation package

The following reproducible example comes from successful Apify run `11N2ljiQgsc2OToMb`. See the [full Q Services technical guide](https://q-services.fr/blog/automate-rss-feed-monitor-with-apify/) and the [tested n8n automation](https://github.com/Gasppacho/q-services-automations/tree/main/n8n/rss-feed-monitor).

#### Tested input

```json
{
  "keywords": [],
  "maxResults": 10,
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "startUrls": [
    "https://q-services.fr/blog/rss.xml"
  ]
}
```

#### Clean output sample

```json
[
  {
    "author": "\u003cstring\u003e",
    "description": "\u003cstring\u003e",
    "feedTitle": "\u003cstring\u003e",
    "feedUrl": "\u003cstring\u003e",
    "imageUrl": "\u003cstring\u003e"
  }
]
```

#### API example

```bash
curl --request POST   'https://api.apify.com/v2/acts/JsYyZBVI3OsyxeHJU/runs?waitForFinish=120&maxTotalChargeUsd=0.05'   --header "Authorization: Bearer $APIFY_TOKEN"   --header 'Content-Type: application/json'   --data @input.json
```

#### Measured cost and limits

The proof run took 5.89 seconds and reported $0.000990 in platform usage. Actual cost depends on input size and source behavior. Set an Apify maximum charge per run and conservative result limits.

Known limits:

- Public sources can change or become unavailable.
- Output completeness depends on the supplied input.
- The measured proof cost is evidence for one run, not a universal quote.

[Run RSS Feed Scraper & Monitor — Any Feed to JSON, CSV, Excel on the Apify Store](https://apify.com/q_services/rss-feed-monitor).

# Actor input Schema

## `startUrls` (type: `array`):

Un ou plusieurs flux RSS 2.0 ou Atom à parser. Exemple : le flux d'un blog, d'un média, d'un concurrent.

## `keywords` (type: `array`):

Si renseigné, seuls les articles dont le titre ou la description contient au moins un de ces mots-clés sont retournés (insensible à la casse). Laissez vide pour tout retourner.

## `maxResults` (type: `integer`):

L'Actor s'arrête (et arrête de facturer) une fois ce nombre atteint.

## `proxyConfiguration` (type: `object`):

Configuration proxy. Le proxy Apify par défaut convient dans la plupart des cas.

## Actor input object example

```json
{
  "startUrls": [
    "https://q-services.fr/blog/rss.xml"
  ],
  "keywords": [],
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        "https://q-services.fr/blog/rss.xml"
    ],
    "keywords": [],
    "maxResults": 100,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("q_services/rss-feed-monitor").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 = {
    "startUrls": ["https://q-services.fr/blog/rss.xml"],
    "keywords": [],
    "maxResults": 100,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("q_services/rss-feed-monitor").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 '{
  "startUrls": [
    "https://q-services.fr/blog/rss.xml"
  ],
  "keywords": [],
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call q_services/rss-feed-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=q_services/rss-feed-monitor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/JsYyZBVI3OsyxeHJU/builds/EkZ68rhdGIrNJPqAB/openapi.json