# Portugal Housing & Interest Rates Feed (`pearlink/portugal-housing-interest-rates-feed`) Actor Portugal Housing & Interest Rates Feed - **URL**: https://apify.com/pearlink/portugal-housing-interest-rates-feed.md - **Developed by:** [PearLink Systems Unipessoal](https://apify.com/pearlink) (community) - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $70.00 / 1,000 series fetcheds 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Portugal Housing & Interest Rates Feed Returns official time series on Portuguese housing and interest rates, one row per observation (series id, date, value, unit, frequency, link to the official page, required attribution): the **ECB** deposit facility rate and euro area yields, **Banco de Portugal** mortgage rates and lending volumes, and **INE** house price index, rents and bank appraisal values, plus any other ECB, BPstat or INE series by its code. Filters: series list and date range; values are passed through exactly as published, with no resampling. Euribor is not available. Price: **$0.02 per ECB or INE series** delivered ($20 per 1,000), however many observations it has; Banco de Portugal series are free. ### What you can use it for - **Track the housing market**: house price index, rent per m² of new leases, bank appraisal values and mortgage rates, all in one dataset. - **Build dashboards and models**: consistent dates (the first day of each period) let you join daily ECB rates with monthly mortgage rates and quarterly house prices without cleaning. - **Write research or newsletters** with numbers you can cite: every row says where it comes from. - **Feed an AI agent**: through Apify's MCP server, an agent can ask "Portuguese house prices and the ECB deposit rate since 2022" and get structured rows back. ### Series | Preset | What it is | Publisher | Frequency | | -------------------------- | ------------------------------------------------------------------------ | ----------------- | ---------------- | | `ecb_deposit_rate` | ECB deposit facility rate | ECB | `daily` | | `ea_yield_curve_10y` | Euro area AAA government yield curve, 10-year spot rate | ECB | `business-daily` | | `ea_yield_curve_2y` | Euro area AAA government yield curve, 2-year spot rate | ECB | `business-daily` | | `pt_10y_bond_yield` | Portugal 10-year government bond yield | ECB | `monthly` | | `pt_mortgage_new_rate` | Interest rate on new housing loans (agreed annual rate) | Banco de Portugal | `monthly` | | `pt_mortgage_new_volume` | New housing loans, amount (EUR million) | Banco de Portugal | `monthly` | | `pt_mortgage_stock` | Housing loans, outstanding stock (EUR million) | Banco de Portugal | `monthly` | | `pt_house_price_index` | House price index, all dwellings (2025 = 100) | INE | `quarterly` | | `pt_rent_new_contracts_m2` | Median rent of new lease agreements over the **last 12 months** (EUR/m²) | INE | `quarterly` | | `pt_bank_appraisal_m2` | Median bank appraisal value of dwellings (EUR/m²) | INE | `monthly` | Need another series? Use `customSeries` with its official code, from the ECB Data Portal, BPstat or INE's database. The input field explains the format. **Euribor and EONIA are not available**: they are licensed by EMMI. ### Input ```json { "series": [ "ecb_deposit_rate", "pt_mortgage_new_rate", "pt_house_price_index", "pt_rent_new_contracts_m2" ], "dateFrom": "2022-01-01" } ``` This costs $0.06: three ECB/INE series, with the Banco de Portugal one free. More inputs that return results: - Mortgages only, free: `{"series": ["pt_mortgage_new_rate", "pt_mortgage_new_volume", "pt_mortgage_stock"], "dateFrom": "2024-01-01"}` - Rates and yields: `{"series": ["ecb_deposit_rate", "ea_yield_curve_2y", "ea_yield_curve_10y", "pt_10y_bond_yield"], "dateFrom": "2025-01-01"}` - A custom INE series: `{"customSeries": [{"source": "ine", "varcd": "0014765", "dims": {"Dim2": "PT", "Dim3": "H11"}}], "dateFrom": "2022-01-01"}` `dateFrom` defaults to 1 January three years ago, and `dateTo` to today. ### Output ```json { "seriesId": "pt_house_price_index", "source": "INE", "title": "Portugal house price index (2025 = 100), all dwellings", "date": "2026-04-01", "value": 114.24, "unit": "index (2025 = 100)", "frequency": "quarterly", "geo": "Portugal", "sourceUrl": "https://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ine_indicadores&indOcorrCod=0014765&contexto=bd&selTab=tab2&xlang=en", "attribution": "Source: Instituto Nacional de Estatística – Portugal (Statistics Portugal), indicator 0014765.", "retrievedAt": "2026-10-12T18:27:01.997Z" } ``` `date` is always the first day of the period: Q2 2026 is `2026-04-01` and August 2026 is `2026-08-01`. Daily series use the day itself. If a series can't be delivered (for example, a publisher is down), you get a free row with `seriesId` and `error`, the other series are still delivered, and the run is marked as failed so scheduled runs alert you. ### Pricing You pay **$0.02 per ECB or INE series** ($20 per 1,000) delivered for your date range, however many observations it contains. **Banco de Portugal series are free.** Apify's small per-run start fee applies, and error rows are free. If you set a maximum cost per run, the Actor stops before a series it can't cover. ### Data sources and licence | Publisher | Licence | Attribution on every row | | ------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----------------------------------------------------------------------------------------- | | [ECB Data Portal](https://data.ecb.europa.eu) | Free reuse, including commercial, if the source is quoted and the data is not modified ([usage policy](https://www.ecb.europa.eu/stats/ecb_statistics/governance_and_quality_framework/html/usage_policy.en.html)) | "Source: ECB statistics." | | [Banco de Portugal BPstat](https://bpstat.bportugal.pt) | Free use if reproduced accurately with Banco de Portugal cited ([legal notices](https://bpstat.bportugal.pt/avisos-legais)) | "Source: Banco de Portugal (BPstat)." | | [INE, Statistics Portugal](https://www.ine.pt) | Creative Commons CC BY 4.0 | "Source: Instituto Nacional de Estatística – Portugal (Statistics Portugal), indicator …" | - Values are passed through exactly as published. Only the format is changed. - All of this data is available free of charge from the publishers' own websites. This Actor saves you the work of fetching it from three different APIs and harmonizing it. - INE revises some series, such as rents, so past values can change between runs. - This Actor is not affiliated with or endorsed by the ECB, Banco de Portugal or INE. ### Related Actors - [Portugal NIF, IBAN, Postcode & CAE Validator](https://apify.com/pearlink/portugal-nif-iban-postcode-cae-validator?ref=store-related): bulk-validate Portuguese tax numbers, IBANs and activity codes. - [Portugal Public Contracts (Portal BASE)](https://apify.com/pearlink/portugal-public-contracts-portal-base?ref=store-related): search and monitor Portuguese public procurement. # Actor input Schema ## `series` (type: `array`): Ready-made series. ECB: ecb_deposit_rate (daily), ea_yield_curve_10y and ea_yield_curve_2y (euro area AAA, business days), pt_10y_bond_yield (monthly). Banco de Portugal: pt_mortgage_new_rate (rate on new housing loans), pt_mortgage_new_volume, pt_mortgage_stock (monthly). INE: pt_house_price_index (quarterly, 2025 = 100), pt_rent_new_contracts_m2 (median rent of new leases over the last 12 months, quarterly), pt_bank_appraisal_m2 (monthly). ## `customSeries` (type: `array`): Any other series by its official code. ECB: {"source": "ecb", "key": "IRS.M.PT.L.L40.CI.0000.EUR.N.Z"}. Banco de Portugal: {"source": "bpstat", "id": "12533735"}. INE: {"source": "ine", "varcd": "0014765", "dims": {"Dim2": "PT", "Dim3": "H1"}} (dims must narrow the indicator to one value per period). Euribor and EONIA are not available. Maximum 50. ## `dateFrom` (type: `string`): First period to include, YYYY-MM-DD. Defaults to 1 January three years ago. Dates are the first day of each period (a Q2 value is dated YYYY-04-01). ## `dateTo` (type: `string`): Last period to include, YYYY-MM-DD. Defaults to today. ## Actor input object example ```json { "series": [ "ecb_deposit_rate", "pt_mortgage_new_rate", "pt_house_price_index", "pt_rent_new_contracts_m2" ] } ``` # Actor output Schema ## `results` (type: `string`): One row per observation, with source link and attribution. # 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 = { "series": [ "ecb_deposit_rate", "pt_mortgage_new_rate", "pt_house_price_index", "pt_rent_new_contracts_m2" ] }; // Run the Actor and wait for it to finish const run = await client.actor("pearlink/portugal-housing-interest-rates-feed").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 = { "series": [ "ecb_deposit_rate", "pt_mortgage_new_rate", "pt_house_price_index", "pt_rent_new_contracts_m2", ] } # Run the Actor and wait for it to finish run = client.actor("pearlink/portugal-housing-interest-rates-feed").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "series": [ "ecb_deposit_rate", "pt_mortgage_new_rate", "pt_house_price_index", "pt_rent_new_contracts_m2" ] }' | apify call pearlink/portugal-housing-interest-rates-feed --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,pearlink/portugal-housing-interest-rates-feed" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/ugHo001uSNgMqtBIV/builds/HdxPl1n3wW4bH0LjC/openapi.json