# Daft.ie Property Scraper (`xtracto/daft-ie-property-scraper`) Actor Collect Irish property listings from Daft.ie — price, type, bedrooms, BER, size, location, and the selling agent's contact — from any Daft search URL. For sale or rent. - **URL**: https://apify.com/xtracto/daft-ie-property-scraper.md - **Developed by:** [Farhan Febrian Nauval](https://apify.com/xtracto) (community) - **Categories:** Real estate, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 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. 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 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 ## Daft.ie Property Scraper Collect Irish property listings from **Daft.ie** — price, property type, bedrooms, bathrooms, BER rating, size, location, and the **selling agent's contact** — from any Daft search. For sale or rent. No account or login required. ### Why use this actor - **No account needed** — works on public Daft.ie search pages. - **Any search, any filters** — paste a Daft search URL (location, sale/rent, price, beds) and the actor collects every result. - **Full listing details** — price, type, bedrooms, bathrooms, BER energy rating, floor area, coordinates, and publish date. - **Agent contacts** — selling agent name and phone numbers (real-estate lead data). - **Stable JSON output** — ready for market analysis, lead lists, or dashboards. ### How it works 1. Open Daft.ie, set your filters, and copy the address-bar URL. 2. Paste one or more of those URLs into **Search URLs**. 3. The actor reads every listing across the result pages, turning pages automatically until your limit. 4. Each listing becomes one row — downloadable as JSON, CSV, or Excel. A residential proxy (Irish IPs work best) is set by default. ### Use cases - **Real-estate market analysis** — pricing, inventory, and BER trends by area. - **Lead generation** — listings and the agents/agencies behind them. - **Investment research** — filter by price, beds, and type across locations. ### Input ```json { "startUrls": ["https://www.daft.ie/property-for-sale/dublin-city"], "maxItemsPerSearch": 0, "maxItems": 200, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IE" } } ```` | Field | Type | Description | |---|---|---| | `startUrls` | array | Daft.ie search URLs with filters applied. | | `maxItemsPerSearch` | integer | Cap per search URL. `0` = all. | | `maxItems` | integer | Overall cap. `0` = no limit. Default `200`. | | `maxConcurrency` | integer | Search URLs processed in parallel. Default `3`. | | `proxyConfiguration` | object | Residential proxy recommended (the default). | ### Output One record per listing: ```json { "_input": "https://www.daft.ie/property-for-sale/dublin-city", "_scrapedAt": "2026-06-17T18:00:00Z", "recordType": "LISTING", "id": 6599502, "daftShortcode": "16599502", "url": "https://www.daft.ie/for-sale/14-churchwell-mews-belmayne-clongriffin-dublin-13/6599502", "title": "14 Churchwell Mews, Belmayne, Clongriffin, Dublin 13, D13A527", "category": "Buy", "propertyType": "Terrace", "priceText": "€450,000", "price": 450000, "bedrooms": 3, "bathrooms": 4, "berRating": "B2", "floorArea": null, "propertySize": null, "pricePerSqM": null, "publishDate": 1781000000000, "latitude": 53.405782, "longitude": -6.172638, "agentName": "David Higgins MIPAV", "agentPhone": "01 8285024", "agentAltPhone": "085 720 5797", "sellerId": 10123 } ``` | Field | Type | Description | |---|---|---| | `id` / `daftShortcode` / `url` | mixed | Listing ID, Daft short code, and link. | | `title` | string | Listing title / address. | | `category` / `propertyType` | string | Buy/Rent and property type. | | `priceText` / `price` | string / number | Price as shown, and as a number. | | `bedrooms` / `bathrooms` | number | Counts. | | `berRating` | string | Energy (BER) rating, e.g. `B2`. | | `floorArea` / `propertySize` / `pricePerSqM` | mixed | Size details when shown. | | `latitude` / `longitude` | number | Coordinates. | | `agentName` / `agentPhone` / `agentAltPhone` / `sellerId` | mixed | Selling agent contact. | Searches that fail return an `_error` record, so nothing fails silently. ### Notes - Use an Irish residential proxy for reliable access. - Daft shows ~20 listings per page; the actor turns pages automatically. # Actor input Schema ## `startUrls` (type: `array`): Paste Daft.ie search URLs with your filters applied (for-sale / for-rent / new-homes, location, price, beds). Example: https://www.daft.ie/property-for-sale/dublin-city ## `maxItemsPerSearch` (type: `integer`): Cap listings per search URL. 0 = all available. ## `maxItems` (type: `integer`): Overall cap for the run. 0 = no limit. ## `maxConcurrency` (type: `integer`): How many search URLs to process in parallel. ## `proxyConfiguration` (type: `object`): Residential proxy recommended (Irish IPs work best). ## Actor input object example ```json { "startUrls": [ "https://www.daft.ie/property-for-sale/dublin-city" ], "maxItemsPerSearch": 0, "maxItems": 200, "maxConcurrency": 3, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IE" } } ``` # 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 = { "startUrls": [ "https://www.daft.ie/property-for-sale/dublin-city" ] }; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/daft-ie-property-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 = { "startUrls": ["https://www.daft.ie/property-for-sale/dublin-city"] } # Run the Actor and wait for it to finish run = client.actor("xtracto/daft-ie-property-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 '{ "startUrls": [ "https://www.daft.ie/property-for-sale/dublin-city" ] }' | apify call xtracto/daft-ie-property-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/daft-ie-property-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Daft.ie Property Scraper", "description": "Collect Irish property listings from Daft.ie — price, type, bedrooms, BER, size, location, and the selling agent's contact — from any Daft search URL. For sale or rent.", "version": "0.1", "x-build-id": "hR29ofcEcOsrpjroq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~daft-ie-property-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-daft-ie-property-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtracto~daft-ie-property-scraper/runs": { "post": { "operationId": "runs-sync-xtracto-daft-ie-property-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtracto~daft-ie-property-scraper/run-sync": { "post": { "operationId": "run-sync-xtracto-daft-ie-property-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Daft.ie search URLs", "type": "array", "description": "Paste Daft.ie search URLs with your filters applied (for-sale / for-rent / new-homes, location, price, beds). Example: https://www.daft.ie/property-for-sale/dublin-city", "items": { "type": "string" } }, "maxItemsPerSearch": { "title": "Max listings per search (0 = all)", "minimum": 0, "type": "integer", "description": "Cap listings per search URL. 0 = all available.", "default": 0 }, "maxItems": { "title": "Max listings total (0 = all)", "minimum": 0, "type": "integer", "description": "Overall cap for the run. 0 = no limit.", "default": 200 }, "maxConcurrency": { "title": "Max concurrent searches", "minimum": 1, "maximum": 8, "type": "integer", "description": "How many search URLs to process in parallel.", "default": 3 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Residential proxy recommended (Irish IPs work best).", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IE" } } } }, "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 } } } } } } } } } } ```