# Daft.ie Property Scraper (`rigelbytes/daft-ie-scraper`) Actor

Scrapes property listings from Daft.ie including residential, rental, commercial, and new homes across Ireland.

- **URL**: https://apify.com/rigelbytes/daft-ie-scraper.md
- **Developed by:** [Rigel Bytes](https://apify.com/rigelbytes) (community)
- **Categories:** Lead generation, News, Real estate
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## Daft.ie Property Scraper

Extract property listings, prices, and agent details from Daft.ie — Ireland's largest real estate marketplace — for market research, price monitoring, and investment analysis, for just **$1** per 1,000 listings.

***

### What can Daft.ie Property Scraper do for you?

- **Build Ireland property databases** — Collect residential, rental, commercial, and new home listings with full details including pricing, bedrooms, BER ratings, and floor area.
- **Monitor rental and sale prices** — Track price trends across cities like Dublin, Cork, Galway, and Limerick for market analysis.
- **Extract seller and agent contacts** — Get agent names, phone numbers, addresses, and licence information for lead generation.
- **Filter by location, price, property type, and amenities** — Target exactly the listings you need using Daft's full search API.
- **Search across all Daft.ie sections** — Residential sales, rentals, commercial properties, sharing, student accommodation, and new homes.
- **Export clean structured data** — Get results in JSON, CSV, or Excel for your CRM, analytics, or research workflow.

### What data can you extract?

| Field | Description |
|-------|-------------|
| 🏠 `title` | Property listing title |
| 💰 `price` / `abbreviatedPrice` | Full and abbreviated price |
| 🛏️ `numBedrooms` / `numBathrooms` | Bedroom and bathroom count |
| 🏷️ `propertyType` | Apartment, House, Studio, etc. |
| 📋 `category` | Rent, Sale, Share, etc. |
| ⭐ `berRating` | BER energy rating (A1–G) |
| 📐 `floorAreaValue` / `floorAreaUnit` | Floor area and unit |
| 📍 `latitude` / `longitude` | GPS coordinates |
| 🖼️ `imageUrls` | Property photo URLs |
| 👤 `sellerName` / `sellerPhone` | Agent or private seller details |
| 🏢 `sellerBranch` / `sellerAddress` | Agent branch info |
| 📅 `publishDate` | Listing publication date |
| 🔗 `seoFriendlyPath` | Direct Daft.ie link |
| 🛠️ `facilities` | Amenities (parking, alarm, etc.) |
| 📹 `hasVideo` / `hasVirtualTour` | Media indicators |

### Why use this scraper?

- **📊 Market research** — Analyze Ireland's property market with real, up-to-date listing data. Compare prices across regions, property types, and timeframes to spot trends.
- **💰 Price monitoring** — Track how rental or sale prices change in specific areas or for specific property types. Set up recurring runs to build historical datasets.
- **🤝 Lead generation** — Extract agent and seller contact information for real estate professionals, investors, or relocation services.
- **⚡ Automation** — Replace manual copy-pasting from Daft.ie with scheduled scraping. Push results directly to your database, spreadsheet, or CRM via Apify integrations.

### Pricing

- **$1/1,000 listings**
- No hidden fees or limits on usage.

***

### How to use Daft.ie Property Scraper

1. **Create an Apify account** at [console.apify.com](https://console.apify.com) (free tier available).
2. **Open the [Daft.ie Property Scraper](https://apify.com/rigelbytes/daft-ie-scraper)** on Apify Store.
3. **Configure the input** — Paste Daft.ie search URLs or set filters (section, area, price range, bedrooms, property types, BER rating, and more).
4. **Start the scraper** — Run it once or schedule recurring runs for ongoing monitoring.
5. **Export your data** — Download results as JSON, CSV, Excel, or push to your apps via webhooks and integrations.

### Input

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `searchUrls` | `string[]` | Optional | Paste one or more Daft.ie search result URLs. When provided, manual filters are ignored. |
| `section` | `string` | Optional | `residential-for-sale`, `residential-to-rent`, `commercial-for-sale`, `commercial-to-rent`, `sharing`, `student-accommodation-to-share`, `new-homes` |
| `searchArea` | `string` | Optional | Location to search (e.g. "Dublin 8", "dublin-city", "Galway"). Leave empty for all Ireland. |
| `searchQuery` | `string` | Optional | Free-text keyword or address search |
| `distanceRadius` | `string` | Optional | Radius around selected area (1 km – 20 km) |
| `salePriceFrom` / `salePriceTo` | `string` | Optional | Sale price range |
| `rentalPriceFrom` / `rentalPriceTo` | `string` | Optional | Monthly rental price range |
| `numBedsFrom` / `numBedsTo` | `string` | Optional | Bedroom count range |
| `numBathsFrom` / `numBathsTo` | `string` | Optional | Bathroom count range |
| `floorSizeFrom` / `floorSizeTo` | `integer` | Optional | Floor area range (m²) |
| `propertyTypes` | `string[]` | Optional | House, Apartment, Studio, Duplex, Bungalow, Site, etc. |
| `facilities` | `string[]` | Optional | Alarm, Parking, Garden, Washing Machine, Dishwasher, etc. |
| `berFrom` / `berTo` | `string` | Optional | BER rating range (A1–G) |
| `onlineOffersOnly` | `boolean` | Optional | Only listings accepting online offers |
| `availability` | `string` | Optional | `published` or `sale-agreed` |
| `addedSince` | `string` | Optional | Listings from: 24h, 3d, 7d, 14d, 30d |
| `sortBy` | `string` | Optional | `best-match`, `priceAsc`, `priceDesc`, `publishDateDesc` |
| `maxItems` | `integer` | Optional | Max listings to scrape (0 = unlimited). Default: 10 |
| `maxPages` | `integer` | Optional | Max pages (20 listings each) to scrape (0 = unlimited) |
| `maxConcurrency` | `integer` | Optional | Parallel API requests (1–10). Default: 3 |
| `proxyConfiguration` | `object` | Optional | Proxy settings, defaults to Apify residential proxies |

#### 📝 Copy for Use:

```json
{
    "searchUrls": [],
    "section": "residential-for-sale",
    "searchArea": "dublin-city",
    "searchQuery": "",
    "propertyTypes": ["houses"],
    "facilities": ["alarm"],
    "availability": "published",
    "maxItems": 3,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
}
```

### Why Choose This Scraper?

- **Affordable**: Pay only $1 per 1,000 listings scraped.
- **Comprehensive**: Extract 40+ data points per listing including price, location, agent details, BER rating, amenities, and media.
- **Easy to Use**: Paste a Daft.ie URL or configure filters in the web interface — no coding required.
- **Reliable**: Built on Daft's official API with configurable concurrency and proxy support for consistent results.

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#### Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

#### Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

### API Examples

#### Python

```shell
from apify_client import ApifyClient

client = ApifyClient("YOUR-APIFY-TOKEN")

run = client.actor("rigelbytes/daft-ie-scraper").call(
    run_input={
        "searchUrls": [],
        "section": "residential-for-sale",
        "searchArea": "dublin-city",
        "propertyTypes": ["houses"],
        "availability": "published",
        "maxItems": 10,
    }
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item["price"])
```

#### JavaScript

```shell
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR-APIFY-TOKEN' });

const run = await client
    .actor('rigelbytes/daft-ie-scraper')
    .call({
        searchUrls: [],
        section: 'residential-for-sale',
        searchArea: 'dublin-city',
        propertyTypes: ['houses'],
        availability: 'published',
        maxItems: 10,
    });

const { items } = await client
    .dataset(run.defaultDatasetId)
    .listItems();

items.forEach((item) => console.log(item.title, item.price));
```

#### cURL

```shell
curl "https://api.apify.com/v2/acts/rigelbytes/daft-ie-scraper/runs?token=YOUR-APIFY-TOKEN" \
  -X POST \
  -H "Content-Type: application/json" \
  -d '{
    "searchUrls": [],
    "section": "residential-for-sale",
    "searchArea": "dublin-city",
    "propertyTypes": ["houses"],
    "availability": "published",
    "maxItems": 10
  }'
```

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#### 🛠️ Developer Tools

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- **[Web Crawler](https://apify.com/rigelbytes/webcrawler)** — Flexible web crawler with custom proxy support for complete control.

### Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

#### Why Use Proxies?

- Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
- Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
- Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

#### Types of Proxies

1. Residential Proxies
   - Real IP addresses provided by ISPs to home users.
   - They mimic regular users, making them harder to detect.
   - Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   - IP addresses from servers in data centers.
   - Faster and cheaper than residential proxies but easier to detect and block.
   - Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   - IPs provided by mobile carriers (3G/4G/5G networks).
   - Very difficult to detect, as they appear as regular mobile users.
   - Best for: Mobile-related scraping or avoiding sophisticated blocks.

#### Rotating Proxies vs. Straight Proxies

- Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
- Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

### About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

### Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or [book an appointment](https://cal.com/faizanali/appointments) with us to learn more about how we can help you achieve your data goals.

### Detailed Data

```json
[
  {
    "id": 6596803,
    "title": "The Grove, Crowe Street, Gort, Co. Galway",
    "price": "€2,000 per month",
    "abbreviatedPrice": "€2,000",
    "numBedrooms": "2 Bed",
    "numBathrooms": "2 Bath",
    "propertyType": "Apartment",
    "category": "Rent",
    "berRating": "B",
    "sellerName": "Quinn Property",
    "sellerPhone": "(065) 6824343",
    "sellerBranch": "Quinn Property Management",
    "sellerType": "BRANDED_AGENT",
    "sellerLicenceNumber": "001044",
    "latitude": 53.06983,
    "longitude": -8.820422,
    "hasVideo": true,
    "hasVirtualTour": false,
    "publishDate": 1781857949970,
    "seoFriendlyPath": "/for-rent/the-grove-crowe-street-gort-co-galway/6596803",
    "facilities": [
      { "key": "WASHING_MACHINE", "name": "Washing Machine" },
      { "key": "MICROWAVE", "name": "Microwave" }
    ]
  },
  {
    "id": 6596785,
    "title": "5 Garbally Demesne, Brackernagh, Ballinasloe, Co. Galway",
    "price": "€1,600 per month",
    "abbreviatedPrice": "€1,600",
    "numBedrooms": "3 Bed",
    "numBathrooms": "1 Bath",
    "propertyType": "House",
    "category": "Rent",
    "berRating": "A1",
    "sellerName": "Joanna Oconnor",
    "sellerPhone": null,
    "sellerType": "PRIVATE_USER",
    "latitude": 53.324496,
    "longitude": -8.238217,
    "hasVideo": false,
    "hasVirtualTour": false,
    "publishDate": 1781725856894,
    "seoFriendlyPath": "/for-rent/5-garbally-demesne-brackernagh-ballinasloe-co-galway/6596785",
    "facilities": [
      { "key": "PARKING", "name": "Parking" },
      { "key": "WASHING_MACHINE", "name": "Washing Machine" }
    ]
  }
]
```

# Actor input Schema

## `searchUrls` (type: `array`):

Paste one or more Daft.ie search result URLs. Each URL is converted into the equivalent API search payload. When provided, manual filters below are ignored for that URL.

## `section` (type: `string`):

Daft.ie listing section to scrape. Ignored when Search URLs are provided.

## `searchArea` (type: `string`):

Location to search in (e.g. 'Dublin 8', 'dublin-city', 'Galway'). Resolved via Daft autocomplete/areas API into a geo filter. Leave empty for all Ireland.

## `searchQuery` (type: `string`):

Free-text keyword or address search sent as the API `terms` field. Separate from Search Area.

## `distanceRadius` (type: `string`):

Search radius around the selected area.

## `salePriceFrom` (type: `string`):

Minimum sale price (e.g. '100000')

## `salePriceTo` (type: `string`):

Maximum sale price (e.g. '500000')

## `rentalPriceFrom` (type: `string`):

Minimum rental price per month (e.g. '1000')

## `rentalPriceTo` (type: `string`):

Maximum rental price per month (e.g. '3000')

## `numBedsFrom` (type: `string`):

Minimum number of bedrooms

## `numBedsTo` (type: `string`):

Maximum number of bedrooms

## `numBathsFrom` (type: `string`):

Minimum number of bathrooms

## `numBathsTo` (type: `string`):

Maximum number of bathrooms

## `floorSizeFrom` (type: `integer`):

Minimum floor area in square metres

## `floorSizeTo` (type: `integer`):

Maximum floor area in square metres

## `propertyTypes` (type: `array`):

Filter by property type. Leave empty for all types.

## `facilities` (type: `array`):

Required facilities (all selected facilities must be present).

## `saleType` (type: `string`):

Filter by sale type.

## `berFrom` (type: `string`):

Minimum BER rating.

## `berTo` (type: `string`):

Maximum BER rating.

## `onlineOffersOnly` (type: `boolean`):

Only return listings that accept online offers.

## `mediaTypes` (type: `array`):

Filter by listing media.

## `availability` (type: `string`):

Listing availability state.

## `addedSince` (type: `string`):

Only include listings published within the selected period.

## `sortBy` (type: `string`):

Sort order for search results.

## `maxItems` (type: `integer`):

Max listings to scrape (0 = unlimited). Applied together with Max Pages — whichever limit is hit first stops the crawl.

## `maxPages` (type: `integer`):

Max pages (20 listings each) to scrape (0 = unlimited). Applied together with Max Items — whichever limit is hit first stops the crawl.

## `maxConcurrency` (type: `integer`):

Maximum number of parallel Daft API requests. Pages are fetched concurrently after the first page. Use 2-3 for safe scraping; increase cautiously if you are not seeing rate limits.

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

Proxy settings for scraping

## Actor input object example

```json
{
  "searchUrls": [],
  "section": "residential-for-sale",
  "searchArea": "",
  "searchQuery": "",
  "distanceRadius": "",
  "salePriceFrom": "",
  "salePriceTo": "",
  "rentalPriceFrom": "",
  "rentalPriceTo": "",
  "numBedsFrom": "",
  "numBedsTo": "",
  "numBathsFrom": "",
  "numBathsTo": "",
  "floorSizeFrom": 0,
  "floorSizeTo": 0,
  "propertyTypes": [],
  "facilities": [],
  "saleType": "",
  "berFrom": "",
  "berTo": "",
  "onlineOffersOnly": false,
  "mediaTypes": [],
  "availability": "published",
  "addedSince": "",
  "sortBy": "best-match",
  "maxItems": 10,
  "maxPages": 0,
  "maxConcurrency": 3,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `datasetCsv` (type: `string`):

No description

# 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 = {
    "searchUrls": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("rigelbytes/daft-ie-scraper").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 = { "searchUrls": [] }

# Run the Actor and wait for it to finish
run = client.actor("rigelbytes/daft-ie-scraper").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 '{
  "searchUrls": []
}' |
apify call rigelbytes/daft-ie-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=rigelbytes/daft-ie-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/p3PwSEkdW3ve2lSRE/builds/HjMoVZ2fStqL5R0Di/openapi.json
