# Daft.ie Ireland Property & Estate Agent Scraper (`scrapers_lat/daft-ireland-realestate-scraper`) Actor
Scrape Ireland property listings from Daft.ie. Get title, price, county, property type, bedrooms, bathrooms, floor area, BER energy rating, coordinates plus the estate agent name, agency, phone and licence. Export the dataset to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/daft-ireland-realestate-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Real estate, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $25.50 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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
## Daft.ie Ireland Property & Estate Agent Scraper
> Scrape Ireland's biggest property portal. Pull every for-sale or for-rent listing on Daft.ie with price, county, property type, bedrooms, floor area and BER energy rating, plus the estate agent's name, agency, phone and licence number. Export clean structured data for lead generation, market research and property analysis.
Listings price, beds, BER, area
Agent leads name, agency & phone
JSON / CSV / Excel output formats
### Who is it for
| Use case | Who benefits |
|---|---|
| Lead generation | Agencies and services selling to estate agents and vendors |
| Market research | Analysts tracking Irish asking prices, supply and BER ratings |
| Property investors | Buyers screening yields, areas and price per square metre |
| Dashboards | Builders feeding live Irish property data into their own apps |
### How to use it
1. Choose a **listing type** (for sale or for rent).
2. Enter a **location** as it appears in a Daft.ie URL (for example `dublin`, `cork`, `galway`, `dublin-city`).
3. Optionally set a **minimum bedrooms** filter.
4. Set **Max Items** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**What locations can I search?**
Any county, city or area supported by the portal. Use the same slug that appears in the site URL, such as `dublin`, `cork`, `galway`, `limerick` or `dublin-city`.
**Can I get rentals as well as sales?**
Yes. Set the listing type to for rent to collect rental listings, or for sale for properties on the market to buy.
**Does it include the estate agent contact?**
Yes. Each listing includes the agent name, agency, phone number, address and licence number where the seller publishes them.
**How fresh is the data?**
Listings are read live at run time, so each record reflects what is on the portal at the moment of the run (see observedAt).
### Related scrapers
- [Rightmove Property Scraper](https://apify.com/scrapers_lat/rightmove-scraper)
- [Google Maps Scraper](https://apify.com/scrapers_lat/google-maps-scraper)
- [Trustpilot Reviews Scraper](https://apify.com/scrapers_lat/trustpilot-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Daft.ie. It only accesses publicly available listing data. Use the results in accordance with the source's terms.
# Actor input Schema
## `maxListings` (type: `integer`):
Maximum number of listings to collect across all locations in this run.
## `listingType` (type: `string`):
Whether to collect properties for sale or for rent.
## `locations` (type: `array`):
One or more counties, cities or areas to search, as they appear in a Daft.ie URL (for example 'dublin', 'cork', 'galway', 'dublin-city'). One run searches every location in the list.
## `minBeds` (type: `integer`):
Optional. Only return properties with at least this many bedrooms.
## `enrichContacts` (type: `boolean`):
Optional paid add-on, off by default. For each result without an email, attempt to find a public business contact email and a contact person's name. Billed per attempt, plus an extra charge only when an email is found.
## `enrichContactsMax` (type: `integer`):
Cap how many results the add-on tries to enrich, to control add-on cost. Leave empty to attempt all. Free Apify accounts are capped at 3.
## Actor input object example
```json
{
"maxListings": 24,
"listingType": "sale",
"locations": [
"dublin",
"cork"
],
"enrichContacts": false,
"enrichContactsMax": 50
}
````
# Actor output Schema
## `results` (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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxListings": 24,
"listingType": "sale",
"locations": [
"dublin",
"cork"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/daft-ireland-realestate-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"maxListings": 24,
"listingType": "sale",
"locations": [
"dublin",
"cork",
],
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/daft-ireland-realestate-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 '{
"maxListings": 24,
"listingType": "sale",
"locations": [
"dublin",
"cork"
]
}' |
apify call scrapers_lat/daft-ireland-realestate-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/daft-ireland-realestate-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Daft.ie Ireland Property & Estate Agent Scraper",
"description": "Scrape Ireland property listings from Daft.ie. Get title, price, county, property type, bedrooms, bathrooms, floor area, BER energy rating, coordinates plus the estate agent name, agency, phone and licence. Export the dataset to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "HgnDaKThCj1md9M4l"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~daft-ireland-realestate-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-daft-ireland-realestate-scraper",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~daft-ireland-realestate-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-daft-ireland-realestate-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~daft-ireland-realestate-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-daft-ireland-realestate-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"maxListings": {
"title": "Max Listings To Scrape",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of listings to collect across all locations in this run."
},
"listingType": {
"title": "Listing type",
"enum": [
"sale",
"rent"
],
"type": "string",
"description": "Whether to collect properties for sale or for rent.",
"default": "sale"
},
"locations": {
"title": "Locations",
"type": "array",
"description": "One or more counties, cities or areas to search, as they appear in a Daft.ie URL (for example 'dublin', 'cork', 'galway', 'dublin-city'). One run searches every location in the list.",
"items": {
"type": "string"
}
},
"minBeds": {
"title": "Minimum bedrooms",
"minimum": 0,
"maximum": 20,
"type": "integer",
"description": "Optional. Only return properties with at least this many bedrooms."
},
"enrichContacts": {
"title": "Find contact email & name (paid add-on)",
"type": "boolean",
"description": "Optional paid add-on, off by default. For each result without an email, attempt to find a public business contact email and a contact person's name. Billed per attempt, plus an extra charge only when an email is found.",
"default": false
},
"enrichContactsMax": {
"title": "Max results to enrich",
"minimum": 1,
"type": "integer",
"description": "Cap how many results the add-on tries to enrich, to control add-on cost. Leave empty to attempt all. Free Apify accounts are capped at 3.",
"default": 50
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```