# Otodom Scraper · Polish Property Listings & Agents · $2/1k (`memo23/otodom-scraper`) Actor Scrape otodom.pl Polish property listings — sale or rent search (with any filters) and individual offers. Returns address, rooms, m², price, price/m², geo-coordinates, agency contacts (with phone numbers) and photos in clean JSON/CSV. Pure HTTP, no browser - **URL**: https://apify.com/memo23/otodom-scraper.md - **Developed by:** [Muhamed Didovic](https://apify.com/memo23) (community) - **Categories:** Real estate, Automation, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 ## Otodom Scraper — Polish Property Listings, Prices & Agents Scrape **otodom.pl — Poland's largest property portal** — sale or rent search (with any filters you set) or individual offer URLs. Every listing comes back in one clean schema with address, rooms, m², price, price/m², geo-coordinates, agency contacts (with phone numbers), and photos. Pure HTTP, no browser. ![How it works](https://raw.githubusercontent.com/muhamed-didovic/muhamed-didovic.github.io/main/assets/how-it-works-otodom.png) ### Why use this scraper - **Any otodom search, filters and all** — paste a sale (`sprzedaz`) or rent (`wynajem`) search URL with whatever filters you set on the site (location, price range, rooms, area, market, building type) and the actor honours them and paginates through every matching result. - **Full structured detail** — title, full address (street/district/city/province), rooms, m², floor, build year, price + price per m², market (primary/secondary), and description on every row. - **Geo-coordinates** — exact latitude/longitude for every listing, ready for mapping. - **Agency contacts incl. phone numbers** — each offer's advertiser (agency or private), with phone numbers, licence number and profile link. - **Pure HTTP, no browser** — reads otodom's embedded `__NEXT_DATA__` JSON directly. Fast and cheap. ### Overview otodom is a Next.js site that embeds the full structured listing data in each page (`__NEXT_DATA__`). The actor classifies each URL (search / offer), walks search results page by page (up to ~36 per page), fans out to each offer, and normalises everything into a consistent row. Ideal for analysts, investors, PropTech teams, and B2B lead generation in the Polish market. ### Supported inputs | Input URL shape | Example | |---|---| | **Sale search** | `otodom.pl/pl/wyniki/sprzedaz/mieszkanie/mazowieckie/warszawa/warszawa/warszawa` | | **Rent search** | `otodom.pl/pl/wyniki/wynajem/mieszkanie/malopolskie/krakow/krakow/krakow` | | **Filtered search** | `…/wyniki/sprzedaz/mieszkanie/…?priceMin=500000&roomsNumber=%5BTHREE%5D` | | **Individual offer** | `otodom.pl/pl/oferta/{slug}` | > **Tip:** run a search on otodom.pl, then copy the URL from your browser's address bar — the filter parameters drop straight into `startUrls`. ### Use cases - **Investors & analysts** — track asking prices and price/m² by city, district and market segment. - **PropTech / data teams** — feed structured Polish property data (with geo) into valuation models, CRMs, dashboards. - **Lead generation** — collect agency contacts (name, phone, licence) by area. - **Market research** — monitor new listings, build year, floor and feature distributions. ### How it works 1. You provide one or more otodom URLs (search or offer). 2. The actor classifies each URL and walks search results with `?page=N` pagination (filters preserved). 3. Each offer's `__NEXT_DATA__` is parsed for the full structured record. 4. Rows are normalised to one schema and streamed to your dataset — JSON or CSV. ### Input configuration | Field | Type | Default | Description | |---|---|---|---| | `startUrls` | array | — | otodom.pl URLs (search or offer) | | `flatten` | boolean | `true` | Flatten nested fields for CSV-friendly output | | `maxItems` | integer | `10000` | Hard cap on rows collected | | `maxConcurrency` | integer | `6` | Parallel offer fetches | ### Output overview One row per offer. Nested objects (`address`, `agency`) flatten to underscore keys (`address_city`, `agency_name`) when `flatten` is on; arrays become `*_json` strings. Disable `flatten` for full nested JSON. ### Output samples **Flattened (`flatten: true`, default):** ```json { "portal": "otodom", "listingId": "67991407", "listingMode": "sale", "propertyType": "block", "marketType": "secondary", "title": "Mieszkanie 56m² ✮ Po remoncie ✮ 4 pokoje ✮ Balkon", "address_city": "Warszawa", "address_district": "Mokotów", "address_street": "ul. Kartaginy", "latitude": 52.174897, "longitude": 21.056249, "rooms": 4, "areaSqm": 56.2, "floorNumber": 4, "priceExact": 955000, "priceCurrency": "PLN", "pricePerSqm": 16993, "priceDisplay": "955 000 zł", "photosCount": 19, "agency_name": "Sprzedom Nieruchomości", "agency_licenseNumber": "28142", "agency_phones_json": "[\"+48500003531\"]" } ```` ### Key output fields | Field | Description | |---|---| | `listingId`, `publicId`, `slug`, `canonicalUrl` | Identity | | `listingMode` | `sale` / `rent` | | `propertyType`, `marketType` | Building type · primary/secondary market | | `title`, `description` | Listing copy | | `address` / `address_*` | street, district, city, county, province, postcode | | `latitude`, `longitude` | Exact geo | | `rooms`, `areaSqm`, `floorNumber`, `buildingFloors`, `buildYear` | Specs | | `priceExact`, `priceCurrency`, `pricePerSqm`, `priceDisplay`, `hidePrice` | Pricing | | `features[]` | Equipment / extras / security | | `photos[]`, `photosCount` | Listing photos | | `agency` / `agency_*` | Advertiser name, **phones**, licence number, address, profile URL | | `dateCreated`, `dateModified` | Listing timestamps | ### FAQ **Can I scrape a filtered search?** Yes — paste any otodom search URL with its filters (location, price, rooms, etc.). They're preserved and paginated automatically. **Does it cover rentals?** Yes — `wynajem` (rent) search URLs work the same as `sprzedaz` (sale). **What about anti-bot?** otodom uses DataDome, which is passive at normal volume — the actor reads pages directly. For large runs, use Polish/EU residential proxies; if DataDome ever challenges, a CAPTCHA-solving proxy clears it. **Why is a price sometimes missing?** A small share of listings hide their price (developer "cesja"/assignment offers) — `hidePrice` is `true` for those. The vast majority carry `priceExact`. ### Support Found a bug or need a field added? Open an issue on the actor's Apify Console page. ### Explore more scrapers - **[Idealista Scraper](https://apify.com/memo23/idealista-scraper)** — Spain / Portugal / Italy property - **[ImmobilienScout24 Scraper](https://apify.com/memo23/immobilienscout24-scraper)** — German property - **[Funda Scraper](https://apify.com/memo23/funda-scraper)** — Dutch property - **[Rightmove Scraper](https://apify.com/memo23/rightmove-scraper)** — UK property Full portfolio: [apify.com/memo23](https://apify.com/memo23) ### ⚠️ Disclaimer This scraper accesses only publicly available data. Use the extracted data in compliance with otodom.pl's Terms of Use, the GDPR, Polish law, and all applicable regulations. You are responsible for how you use scraped data — particularly personal information (agent names, phone numbers). This actor is not affiliated with, endorsed by, or connected to otodom.pl, OLX Group, or Adevinta. ### SEO Keywords otodom scraper, otodom.pl scraper, polish property scraper, poland real estate scraper, otodom api, mieszkania scraper, nieruchomości scraper, property listings poland, real estate data poland, otodom prices scraper, polish property data, warszawa property scraper, krakow real estate scraper, property leads poland, agency contacts poland # Actor input Schema ## `startUrls` (type: `array`): Full otodom.pl URLs. Search URLs are paginated and fanned out to individual offers automatically until `Maximum items` is reached. ## `flatten` (type: `boolean`): When enabled (default), nested objects (`address`, `agency`) are expanded to underscore-separated top-level keys (e.g. `address_city`, `agency_name`). Arrays of objects/values are JSON-stringified into `*_json` fields. Disable to keep the full nested JSON. ## `maxItems` (type: `integer`): Hard cap on the number of offers collected. Otodom search pages return up to ~36 results each; use this cap to control billing. ## `maxConcurrency` (type: `integer`): Maximum number of offer pages fetched in parallel. 4-8 is the sweet spot (keeps DataDome happy). ## `minConcurrency` (type: `integer`): Minimum number of offer pages fetched in parallel. ## `maxRequestRetries` (type: `integer`): Number of retries before a failed request is given up. ## `proxy` (type: `object`): Defaults to Apify Residential. Polish/EU residential IPs are recommended for reliable otodom runs at scale (otodom uses DataDome, which is passive at normal volume but can challenge from datacenter IPs). ## Actor input object example ```json { "startUrls": [ "https://www.otodom.pl/pl/wyniki/sprzedaz/mieszkanie/mazowieckie/warszawa/warszawa/warszawa", "https://www.otodom.pl/pl/wyniki/wynajem/mieszkanie/malopolskie/krakow/krakow/krakow" ], "flatten": true, "maxItems": 10000, "maxConcurrency": 6, "minConcurrency": 1, "maxRequestRetries": 5, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "PL" } } ``` # 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.otodom.pl/pl/wyniki/sprzedaz/mieszkanie/mazowieckie/warszawa/warszawa/warszawa", "https://www.otodom.pl/pl/wyniki/wynajem/mieszkanie/malopolskie/krakow/krakow/krakow" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "PL" } }; // Run the Actor and wait for it to finish const run = await client.actor("memo23/otodom-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.otodom.pl/pl/wyniki/sprzedaz/mieszkanie/mazowieckie/warszawa/warszawa/warszawa", "https://www.otodom.pl/pl/wyniki/wynajem/mieszkanie/malopolskie/krakow/krakow/krakow", ], "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "PL", }, } # Run the Actor and wait for it to finish run = client.actor("memo23/otodom-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.otodom.pl/pl/wyniki/sprzedaz/mieszkanie/mazowieckie/warszawa/warszawa/warszawa", "https://www.otodom.pl/pl/wyniki/wynajem/mieszkanie/malopolskie/krakow/krakow/krakow" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "PL" } }' | apify call memo23/otodom-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=memo23/otodom-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Otodom Scraper · Polish Property Listings & Agents · $2/1k", "description": "Scrape otodom.pl Polish property listings — sale or rent search (with any filters) and individual offers. Returns address, rooms, m², price, price/m², geo-coordinates, agency contacts (with phone numbers) and photos in clean JSON/CSV. Pure HTTP, no browser", "version": "0.0", "x-build-id": "kYF3juvINodqLiPtT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/memo23~otodom-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-memo23-otodom-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/memo23~otodom-scraper/runs": { "post": { "operationId": "runs-sync-memo23-otodom-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/memo23~otodom-scraper/run-sync": { "post": { "operationId": "run-sync-memo23-otodom-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": "Otodom URLs", "type": "array", "description": "Full otodom.pl URLs. Search URLs are paginated and fanned out to individual offers automatically until `Maximum items` is reached.", "items": { "type": "string" } }, "flatten": { "title": "Flatten nested fields for CSV-friendly output", "type": "boolean", "description": "When enabled (default), nested objects (`address`, `agency`) are expanded to underscore-separated top-level keys (e.g. `address_city`, `agency_name`). Arrays of objects/values are JSON-stringified into `*_json` fields. Disable to keep the full nested JSON.", "default": true }, "maxItems": { "title": "Maximum items to scrape", "minimum": 1, "type": "integer", "description": "Hard cap on the number of offers collected. Otodom search pages return up to ~36 results each; use this cap to control billing.", "default": 10000 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "type": "integer", "description": "Maximum number of offer pages fetched in parallel. 4-8 is the sweet spot (keeps DataDome happy).", "default": 6 }, "minConcurrency": { "title": "Min concurrency", "minimum": 1, "type": "integer", "description": "Minimum number of offer pages fetched in parallel.", "default": 1 }, "maxRequestRetries": { "title": "Max request retries", "minimum": 0, "type": "integer", "description": "Number of retries before a failed request is given up.", "default": 5 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Defaults to Apify Residential. Polish/EU residential IPs are recommended for reliable otodom runs at scale (otodom uses DataDome, which is passive at normal volume but can challenge from datacenter IPs)." } } }, "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 } } } } } } } } } } ```