📊 INE Portugal Statistics Scraper

🚀 Export the official Portuguese statistical catalogue in seconds. Pull thousands of INE Portugal indicators with values, dimension labels, and metadata across crime, population, GDP, inflation, employment, and demographics. Bilingual labels (English + Portuguese), no sign-up needed.

The INE Portugal Statistics Scraper taps the official Instituto Nacional de Estatística (Portugal) catalogue and returns clean, structured records covering every published indicator. Pull observation values for any indicator (varcd), full indicator metadata with dimension descriptions and units, and batch-fetch up to 100 indicators in a single run.

The catalogue spans thousands of indicators including crime rate (varcd 0008074), resident population (0008250), GDP, inflation, unemployment, household income, education enrolment, energy consumption, and tourism arrivals. Coverage runs from the national level down to NUTS II regions and individual municipalities. Labels are available in English and Portuguese. This Actor turns indicator data, batch lookups, and full metadata into downloadable CSV, Excel, JSON, or XML in minutes.

🎯 Target Audience	💡 Primary Use Cases
Economists, journalists, banking & insurance teams, policy analysts, researchers, BI engineers, civic-tech developers	Inflation tracking, demographic dashboards, crime analytics, regional research, ML feature engineering, Power BI / Tableau feeds, newsroom charts

📋 What the INE Portugal Scraper does

Two core workflows in a single Actor:

• 📈 Data mode. Pull every observation for an indicator across periods, geographies, and analytic dimensions. Values come with raw and cleaned numeric fields plus dimension code + label pairs.
• 🧾 Metadata mode. Get the full description of an indicator: name, dimensions, units, latest available period, last-updated timestamp, and the official metadata page URL.
• 📚 Batch lookup. Pass an array of up to 100 indicator codes (varcd) to data or metadata mode and pull them all in a single run.

Every record carries the official INE Portugal metadata page deep link, so you can verify any number against the source page in one click.

💡 Why it matters: Portuguese official statistics underpin lending decisions, public-policy research, regional economic strategy, and academic work. Building your own pipeline against the official catalogue means handling Portuguese-specific JSON quirks, dimension decoding, and bilingual labels by hand. This Actor skips all of that and keeps your dataset fresh on every run.

📊 Data fields

Each record includes: cleanIndicatorName, datasource, dim3Code, dim3Label, geoCode, geoLabel, indicatorCode, indicatorName, lastUpdated, period, scrapedAt, seriesCode, url, value, valueRaw. All 15 field names come from a real production run, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the INE Portugal Statistics Scraper page on the Apify Store.
3. 🎯 Set input. Enter an indicator code (or batch list), pick a language, and click Start.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

🔗 Recommended Actors

• 📊 INE Spain Scraper - Spanish National Statistics Institute
• 📊 ONS UK Statistics Scraper - UK Office for National Statistics datasets
• 📊 Statistics Canada Scraper - Canadian official statistics catalogue
• 📊 IBGE Brazil Scraper - Brazilian Institute of Geography and Statistics
• 📈 Indexmundi Scraper - Global demographic and economic indicators

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the Instituto Nacional de Estatística or the Government of Portugal. All trademarks mentioned are the property of their respective owners. Only publicly available open data is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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