# Daft.ie Scraper — Ireland Property Listings (`vladignatyev/daft-ie-scraper`) Actor Daft.ie scraper for Ireland property data. Extract real estate listings for rent, for sale, sharing & new homes — price, beds, BER, agent & geo. Filter by county, price & bedrooms; export JSON, CSV, Excel or API. Fast Irish property listings scraper for lead gen, research & monitoring. - **URL**: https://apify.com/vladignatyev/daft-ie-scraper.md - **Developed by:** [Vladimir Ignatev](https://apify.com/vladignatyev) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.20 / 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 ## Daft.ie Scraper — Ireland Property Listings Extract property listings from [Daft.ie](https://www.daft.ie), Ireland's #1 property portal — **for rent, for sale, sharing, and new homes**. Returns clean structured data (price, beds, baths, BER, agent, geo) ready for CSV / Excel / JSON / API. Built for **real estate investors, proptech developers, market analysts, and agencies** who need Irish property data at scale. ### What you get per listing | Field | Example | |---|---| | `address` | Griffith Wood, Griffith Avenue, Drumcondra, Dublin 9 | | `price` / `priceUnit` | `3141` / `month` | | `beds` / `bedsMin` / `bedsMax` | `1` / `1` / `2` (ranges like "1 & 2 Bed" preserved) | | `propertyType` | Private Rental Sector | | `ber` | A2 | | `sellerName` / `sellerType` | The Carriageworks / UNBRANDED_AGENT | | `lat` / `lng` | 53.35 / -6.23 | | `publishDate` | 2026-05-13T… | | `url` | https://www.daft.ie/for-rent/…/6306467 | Detail-only fields (`baths`, `sizeSqm`, `psra`, `priceHistory`) are returned as `null` from the search listing and populate once the **detail crawl** lands (see Roadmap). ### Input ```json { "categories": ["rent"], "counties": ["dublin-city", "cork"], "priceMax": 3000, "bedsMin": 2, "maxItems": 1000, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IE" } } ```` - **categories**: `rent` | `sale` | `share` | `new-home` - **counties**: Daft location slugs exactly as in the site URL — `dublin-city`, `dublin`, `cork`, `cork-city`, `galway`, … - **priceMin/Max, bedsMin/Max**: optional filters (price is monthly for rent/share, total for sale) - **maxItems**: hard stop - Each `category × county` is one search; the actor reads the total, then fans out all pages. ### Run locally ```bash npm install npm start ## builds TS then runs; uses ./storage for input/output ``` Put test input in `storage/key_value_stores/default/INPUT.json`. Output lands in `storage/datasets/default/`. ### Deploy to Apify ```bash npm i -g apify-cli apify login apify push ``` Then in the Apify console set **Monetization → Pay per result** (suggested **$2 / 1,000 results**; you keep 80%). To use pay-per-event instead, switch the actor to PPE and uncomment the `Actor.charge(...)` line in `src/main.ts`. ### How it works Daft is a Next.js site — listing data is embedded in the page as JSON (classic `#__NEXT_DATA__` or app-router `self.__next_f` streaming chunks), so the actor parses JSON directly (fast, cheap, no headless browser). A DOM-parsing fallback covers markup changes. > **First run:** confirm listings populate from JSON (`source: "json"` in output). If you see `source: "dom"` warnings, Daft changed its data shape — update the array detection in `extractEmbedded`/`findListingsArray`. ### Legal / etiquette Scrapes **public listing pages only**. Does **not** touch `api.daft.ie` (gated, ToS-restricted). Respects robots by avoiding blocked bot UAs; rate-limited via Apify proxy. Photos are linked, not rehosted. Public agent/business listing data → low PII exposure. ### Roadmap - \[ ] **Detail crawl** — visit each listing for guaranteed BER, geo, floor area, full description, all photos. - \[ ] **Monitor mode** — diff against last run → emit `new` / `price_drop` / `delisted` (recurring revenue). - \[ ] **Sister actors** — clone skeleton to MyHome.ie (uncovered #2 IE portal), then PropertyPal (NI). # Actor input Schema ## `categories` (type: `array`): Listing types to scrape. ## `counties` (type: `array`): Daft location slugs as they appear in the URL, e.g. dublin-city, dublin, cork, galway, cork-city. ## `priceMin` (type: `integer`): Minimum price (monthly for rent/share, total for sale). ## `priceMax` (type: `integer`): Maximum price. ## `bedsMin` (type: `integer`): Minimum number of bedrooms. ## `bedsMax` (type: `integer`): Maximum number of bedrooms. ## `maxItems` (type: `integer`): Stop after this many listings. ## `pageSize` (type: `integer`): Results per request (max 50). ## `proxyConfiguration` (type: `object`): Residential IE proxy recommended. ## Actor input object example ```json { "categories": [ "rent" ], "counties": [ "dublin-city" ], "maxItems": 1000, "pageSize": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IE" } } ``` # Actor output Schema ## `listings` (type: `string`): All listings scraped in this run, as dataset items. ## `listingsCsv` (type: `string`): Same dataset, ready to open in Excel / Google Sheets. ## `datasetInConsole` (type: `string`): Browse the results table in the UI. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("vladignatyev/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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("vladignatyev/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 '{}' | apify call vladignatyev/daft-ie-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vladignatyev/daft-ie-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Daft.ie Scraper — Ireland Property Listings", "description": "Daft.ie scraper for Ireland property data. Extract real estate listings for rent, for sale, sharing & new homes — price, beds, BER, agent & geo. Filter by county, price & bedrooms; export JSON, CSV, Excel or API. Fast Irish property listings scraper for lead gen, research & monitoring.", "version": "0.1", "x-build-id": "De55a7AUxKzUvTOTa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vladignatyev~daft-ie-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vladignatyev-daft-ie-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/vladignatyev~daft-ie-scraper/runs": { "post": { "operationId": "runs-sync-vladignatyev-daft-ie-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/vladignatyev~daft-ie-scraper/run-sync": { "post": { "operationId": "run-sync-vladignatyev-daft-ie-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": { "categories": { "title": "Categories", "type": "array", "description": "Listing types to scrape.", "items": { "type": "string", "enum": [ "rent", "sale", "share", "new-home" ], "enumTitles": [ "For rent", "For sale", "Sharing", "New homes" ] }, "default": [ "rent" ] }, "counties": { "title": "Locations (Daft slugs)", "type": "array", "description": "Daft location slugs as they appear in the URL, e.g. dublin-city, dublin, cork, galway, cork-city.", "default": [ "dublin-city" ], "items": { "type": "string" } }, "priceMin": { "title": "Min price", "type": "integer", "description": "Minimum price (monthly for rent/share, total for sale)." }, "priceMax": { "title": "Max price", "type": "integer", "description": "Maximum price." }, "bedsMin": { "title": "Min bedrooms", "type": "integer", "description": "Minimum number of bedrooms." }, "bedsMax": { "title": "Max bedrooms", "type": "integer", "description": "Maximum number of bedrooms." }, "maxItems": { "title": "Max items", "type": "integer", "description": "Stop after this many listings.", "default": 1000 }, "pageSize": { "title": "Page size", "type": "integer", "description": "Results per request (max 50).", "default": 20 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Residential IE proxy recommended.", "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 } } } } } } } } } } ```