📊 Statistics Canada Scraper

🚀 Export the official Canadian statistical catalogue in seconds. Pull 8,000+ data cubes, full cube metadata, dimension members, and time-series observations across the economy, labour market, health, and more. No sign-up needed, no manual CSV wrangling.

The Statistics Canada Scraper taps the official Statistics Canada catalogue and returns clean, structured records covering every published cube (NDM table). Pull cube titles in English and French, release dates, frequency, dimensions, member counts, geography codes, and time-stamped observation values.

The catalogue spans 8,000+ active cubes, decades of historical data, and every Canadian province and territory. Subjects range from monthly Consumer Price Index releases and quarterly GDP to building permits, immigration flows, hospital activity, household spending, and election data. This Actor turns the entire reference catalogue, single-cube metadata, single-coordinate observations, and multi-vector time-series into downloadable CSV, Excel, JSON, or XML in minutes.

🎯 Target Audience	💡 Primary Use Cases
Economists, journalists, policy analysts, fintech & real estate teams, researchers, BI engineers, civic-tech developers	Economic dashboards, inflation tracking, real estate market intelligence, labour-market reports, academic research, Power BI / Tableau feeds, ML feature engineering

📋 What the Statistics Canada Scraper does

Four workflows in a single Actor:

• 📚 Catalogue mode. List every published Statistics Canada cube with title, frequency, release date, dimension names, and a deep link to the official table view.
• 🧾 Cube metadata mode. Pull the full schema for one cube or batch up to 100 cubes in a single run, including dimension positions, member counts, geography levels, classifications, and CANSIM legacy IDs.
• 📈 Data from cube mode. Fetch the latest N periods (up to 36) of observation values for any coordinate inside any cube.
• 📉 Vector mode. Pass one or many vector IDs and pull the most recent N periods of each time-series in one shot.

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

💡 Why it matters: Canadian economic and demographic data underpins lending decisions, real-estate underwriting, retail planning, public-policy research, and journalism. Building your own pipeline against the official catalogue means handling pagination, 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: archived, cansimId, cubeEndDate, cubeStartDate, cubeTitleEn, cubeTitleFr, dimensionNames, dimensions, frequency, frequencyCode, issueDate, productId, releaseTime, scrapedAt, subjectCode, surveyCode, url. All 17 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 Statistics Canada Scraper page on the Apify Store.
3. 🎯 Set input. Pick a mode (start with catalogue to browse), set maxItems, 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

• 📊 ONS UK Statistics Scraper - UK Office for National Statistics datasets
• 📊 INE Spain Scraper - Spanish National Statistics Institute
• 📊 IBGE Brazil Scraper - Brazilian Institute of Geography and Statistics
• 📈 Indexmundi Scraper - Global demographic and economic indicators
• 🗺️ Nominatim OSM Scraper - Geocode addresses via OpenStreetMap

💡 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 Statistics Canada or the Government of Canada. 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.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.