# Spanish Cadastre Property Scraper (`parseforge/catastro-spain-property-scraper`) Actor Resolve any 20 character Spanish cadastral reference against the Catastro and return reference, address, surface, use, year\_built, and municipality. Useful for property due diligence, real estate valuation, and tax research across urban and rural parcels in Spain. - **URL**: https://apify.com/parseforge/catastro-spain-property-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Automation, Integrations, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $7.50 / 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 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## 🏘️ Spanish Cadastre Property Scraper > πŸš€ **Export Spanish Cadastre property records by cadastral reference in seconds. Surface, use, year built, address and municipality.** > πŸ•’ **Last updated:** 2026-05-29 Β· **πŸ“Š 9 fields** per record Β· Sede Electronica del Catastro public web service Β· Spain (excluding Basque Country and Navarra) The Spanish Cadastre Property Scraper turns the [Sede Electronica del Catastro public web service](https://www1.sedecatastro.gob.es) into a clean dataset. Pass any 20-character cadastral reference (referencia catastral) and get back the property details. | 🎯 Target Audience | πŸ’‘ Primary Use Cases | |---|---| | πŸ“Š Analysts | Build clean datasets from the source | | 🏒 Business teams | Plug official data into internal tools | | πŸ€– ML engineers | Training data ready for pandas and BigQuery | | πŸ“° Journalists | Verify numbers in seconds | | πŸŽ“ Researchers | Reproducible historical pulls | | πŸ‘©β€πŸ’» Developers | Skip writing a client library | ### πŸ“‹ What the Spanish Cadastre Property Scraper does - Calls the public Sede Electronica del Catastro endpoint. - Parses the response and flattens each record into a clean row. - Casts numeric fields and normalizes timestamps for downstream tools. - Surfaces upstream errors as a clean `error` record instead of crashing. - Exports as CSV, Excel, JSON, JSONL, XML, RSS, or HTML. > πŸ’‘ **Why it matters:** the source is public but its format is not analyst friendly. This actor returns a flat, tool-ready dataset. ### 🎬 Full Demo _🚧 Coming soon._ ### βš™οΈ Input
FieldTypeRequiredDescription
referenciastringYes20-character cadastral reference.
maxItemsintegerNoFree 10, paid up to 1,000,000.
**Example 1:** ```json { "referencia": "9872023VH5797S0001WX" } ```` **Example 2:** ```json { "referencia": "4527501YJ2742N0001SK" } ``` > ⚠️ **Good to Know:** the upstream source enforces its own rate limits. Heavy pulls should be spread across runs. ### πŸ“Š Output Each record is a flat object. `error` is always last. | Field | Type | Description | |---|---|---| | πŸ†” `reference` | string | Cadastral reference | | πŸ“ `address` | string | Street address | | πŸ“ `surface` | number | Built surface in sqm | | 🏷️ `use` | string | Use code | | πŸ—οΈ `year_built` | string | Year built | | πŸ‘₯ `owner_count` | number | Number of owners if available | | πŸ—ΊοΈ `parcel_geometry` | object | Geometry if available | | πŸ™οΈ `municipality` | string | Municipality name | | πŸ•’ `scrapedAt` | string | When this row was fetched | | ❌ `error` | string | Set if upstream returned an error | **Sample record:** ```json { "reference": "9872023VH5797S0001WX", "address": "CL MAYOR 1", "surface": 102, "use": "Residencial", "year_built": "1965", "owner_count": null, "parcel_geometry": null, "municipality": "MADRID", "scrapedAt": "2026-05-29T10:00:00.000Z", "error": null } ``` ### ✨ Why choose this Actor | πŸ†“ | Calls the fully public Catastro web service. | | 🧹 | Flattens nested Spanish XML/JSON into clean rows. | | πŸ”’ | Surface cast to number. | | πŸ›Ÿ | Errors surfaced as clean records. | | πŸ’Ύ | Push to dataset, instant download. | ### πŸ“ˆ How it compares to alternatives | Approach | Setup time | Clean keys | Numeric casting | Error handling | |---|---|---|---|---| | Roll your own fetch | 30 min plus | ❌ | ❌ | ❌ | | Manual download | hours | ❌ | ❌ | ❌ | | **This Actor** | 5 sec, no install | βœ… | βœ… | βœ… | ### πŸš€ How to use 1. Click **Try for free**. 2. Fill in the input fields (defaults work for a first run). 3. Click **Start**. Your dataset is ready in seconds. ### πŸ’Ό Business use cases **πŸ“Š Analytics dashboards.** Pipe to a BI tool, refresh on a schedule. **πŸ’Ό Internal data products.** Mirror the source into your own warehouse. **πŸ“° Newsroom fact-checking.** Verify any number before publishing. **πŸ€– ML feature engineering.** Use the clean dataset as model input. ### πŸ”Œ Automating Spanish Cadastre Property Scraper - **Make and Zapier**: trigger on a schedule, push to Airtable or Slack. - **Cron schedule**: native Apify scheduler. - **Webhooks**: receive a POST when a run finishes. - **Pipe to BigQuery, Snowflake, Postgres**: native Apify integrations. ### 🌟 Beyond business use cases **πŸŽ“ Education.** Bring real public data into classrooms. **πŸ§ͺ Personal research.** Track indicators or markets over time. **🀝 Non-profit and open data.** Build public dashboards. **🧰 Tinkering.** Prototype quickly with structured data. ### πŸ€– Ask an AI assistant about this scraper Paste this README into ChatGPT or Claude and ask it to map your workflow to the actor inputs. The schema, examples and field list above contain everything an LLM needs to design a working pipeline. ### ❓ Frequently Asked Questions **❓ Do I need an API key?** No, the source is fully public. **❓ Is there a rate limit?** The upstream enforces a soft limit. Avoid hammering. **❓ Can I schedule runs?** Yes, via Apify scheduler, Make, Zapier or cron. **❓ Are values cast to numbers?** Yes where applicable. **❓ How are errors handled?** Pushed as a single record with `error` populated. **❓ Is this scraping or API?** Public API or feed. **❓ Will the schema change?** Core fields are stable. **❓ Can I filter the results?** Yes, see the input schema above. **❓ What if the upstream changes?** We update the actor. **❓ What format can I download?** CSV, Excel, JSON, JSONL, XML, RSS, HTML straight from the Apify dataset UI. ### πŸ”Œ Integrate with any app Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint. ### πŸ”— Recommended Actors | Actor | What it does | |---|---| | [ParseForge Alpha Vantage Scraper](https://apify.com/parseforge/alpha-vantage-public-scraper) | Global market data and FX. | | [ParseForge OurAirports Scraper](https://apify.com/parseforge/ourairports-scraper) | Global airport database. | | [ParseForge NBA Stats Scraper](https://apify.com/parseforge/nba-stats-scraper) | Player and team stats. | | [ParseForge CurseForge Mods Scraper](https://apify.com/parseforge/curseforge-mods-scraper) | Public mod metadata. | > πŸ’‘ **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for 900+ production-grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records. *** **Disclaimer:** This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site's terms of service and applicable law. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp). # Actor input Schema ## `referencia` (type: `string`): 20-character Spanish cadastral reference (referencia catastral). ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## Actor input object example ```json { "referencia": "9872023VH5797S0001WX", "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "referencia": "9872023VH5797S0001WX", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/catastro-spain-property-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "referencia": "9872023VH5797S0001WX", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("parseforge/catastro-spain-property-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "referencia": "9872023VH5797S0001WX", "maxItems": 10 }' | apify call parseforge/catastro-spain-property-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/catastro-spain-property-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Spanish Cadastre Property Scraper", "description": "Resolve any 20 character Spanish cadastral reference against the Catastro and return reference, address, surface, use, year_built, and municipality. Useful for property due diligence, real estate valuation, and tax research across urban and rural parcels in Spain.", "version": "0.1", "x-build-id": "Wdd4krRpZ9haYrzPK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~catastro-spain-property-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-catastro-spain-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~catastro-spain-property-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-catastro-spain-property-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~catastro-spain-property-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-catastro-spain-property-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "referencia": { "title": "Cadastral reference", "type": "string", "description": "20-character Spanish cadastral reference (referencia catastral)." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000" } } }, "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 } } } } } } } } } } ```