We extract residential and commercial listings, broker intelligence, and property metadata from Centris. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Property Listings objects from centris.ca. All fields typed and schema-versioned.
"centris_number": "12345678", "price": 450000, "city": "Montreal", "bedrooms": 3, "bathrooms": 2, "property_type": "Condo"
| # | centris_number | price | address | city | region | bedrooms |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Building & Lot objects from centris.ca. All fields typed and schema-versioned.
"lot_area": "4000 sqft", "parking_spaces": 2, "heating_system": "Electric baseboard", "zoning": "Residential", "pool": false, "roof_material": "Asphalt shingles"
| # | lot_area | building_area | parking_spaces | heating_system | water_supply | zoning |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Financials & Taxes objects from centris.ca. All fields typed and schema-versioned.
"municipal_tax": 2400, "school_tax": 350, "total_tax": 2750, "municipal_assessment": 310000, "condo_fees": 150, "heating_costs": 800
| # | municipal_tax | school_tax | total_tax | municipal_assessment | building_assessment | lot_assessment |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Broker Intelligence objects from centris.ca. All fields typed and schema-versioned.
"broker_name": "Jean Tremblay", "agency_name": "RE/MAX Quebec", "phone_number": "514-555-0199", "active_listings_count": 14, "languages_spoken": "French, English", "broker_id": "BRK-9921"
| # | broker_name | broker_id | agency_name | agency_id | phone_number | |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Market Metrics objects from centris.ca. All fields typed and schema-versioned.
"days_on_market": 12, "walk_score": 85, "transit_score": 78, "neighborhood_name": "Plateau Mont-Royal", "median_age": 34, "parks_nearby": 4
| # | days_on_market | walk_score | transit_score | bike_score | neighborhood_name | population_density |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Centris scraper handles every layer of the platform: map-based search results, bilingual property details, broker intelligence, and tax assessments — with JavaScript rendering and anti-bot circumvention built in.
Centris numbers, prices, descriptions, room dimensions, building features, and lot sizes scraped across all property types.
Extract listings in both French and English to maintain data fidelity across Quebec's dual-language market.
Capture broker names, contact details, agency affiliations, and active listing counts to map real estate professional networks.
Bypass standard pagination limits by programmatically iterating over map coordinates to ensure 100% geographic coverage.
Extract municipal evaluations, school taxes, condo fees, and estimated heating costs attached to individual properties.
Unified schema handling for single-family homes, condos, multi-plexes, land, and commercial real estate listings.
Run continuous pipelines that detect price drops, status changes, and new listings without re-scraping the entire catalogue.
Track upcoming open house dates and times to monitor active marketing efforts by listing brokers.
Extract neighborhood context including walkability, transit access, demographic profiles, and proximity to schools.
Brief in. Clean data out.
Provide target regions, property types, or broker IDs. We design the extraction schema together.
We configure Scrapy crawlers, map API interception, session management, and proxy rotation for centris.ca.
Schema validation, null-rate checks, price-outlier detection, and bilingual data checks before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Centris employs strict rate limits and map-based search architectures. Here is how we stay resilient — and why teams choose managed infrastructure over DIY.
Centris limits standard list views, making full-market extraction impossible via basic search. We reverse-engineer the map API, systematically generating tight bounding boxes to extract every listing without hitting display caps.
Centris uses advanced bot mitigation that flags data-center IPs. Our crawlers use Canadian residential ISP proxies with realistic browser fingerprints and session management to maintain uninterrupted access.
Quebec real estate data exists in both French and English. We manage session cookies and headers to extract both language variants simultaneously, ensuring your database supports bilingual applications.
A multiplex listing has a vastly different DOM structure than a vacant lot. We maintain adaptive parsing logic that normalises diverse property attributes into a single, clean schema.
For daily market monitoring, we maintain a hash index of last-seen values per Centris number. Subsequent runs only push diffs — capturing price drops and status changes while reducing compute costs.
Real estate analysts track median prices, days on market, and inventory levels across specific Quebec municipalities to build valuation models.
Agencies monitor competitor broker performance, active listing volumes, and specialization areas to target high-performing agents for recruitment.
Investors filter multi-plex and commercial listings based on price-to-assessment ratios and municipal tax burdens to identify undervalued assets.
Startups populate their platforms with comprehensive, bilingual property data to offer alternative search and valuation tools to consumers.
Municipalities and researchers correlate property types, walk scores, and demographic data to inform urban development strategies.
Appraisers use historical listing data, room dimensions, and lot sizes to generate automated valuation models (AVMs) for lenders.
"Centris holds the definitive real estate dataset for Quebec, but extracting it requires navigating complex map APIs and strict rate limits."
Most teams underestimate the investment required: reliable Centris scraping requires residential proxies, full JavaScript rendering, map boundary iteration, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our centris.ca scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering, cookie sessions, and map API interactions.
We maintain pools of Canadian residential ISP proxies. Rotation happens per-request with sticky sessions where required to bypass bot protection.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About centris.ca scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Centris is generally permissible for non-authenticated data. DataFlirt targets only public property listings, broker details, and market metrics. We do not circumvent authentication walls to access the private broker portal. Clients should review terms of service and consult legal counsel for their specific use cases.
Centris limits standard list views to prevent mass extraction. We bypass this by programmatically generating precise geographic bounding boxes and intercepting the backend map APIs, ensuring we capture every listing in a region without hitting display caps.
Yes. We manage session state and language toggles to extract property descriptions, room details, and metadata in both French and English, delivering a unified bilingual dataset.
We can configure pipelines to run daily or sub-daily to capture new listings, price drops, and status changes as they happen. Full market refreshes typically complete within a few hours.
No. Final sold prices on Centris are gated behind the authenticated broker portal. We only extract the publicly visible asking prices and historical price drops available on the public listing.
Our engagements typically start with regional extraction (e.g., Greater Montreal Area) delivered weekly. For province-wide daily tracking, we price based on compute volume and proxy bandwidth. Contact us for a scoped quote.
Absolutely. We provide a sample run of up to 500 properties as part of the pre-engagement scoping process so you can validate schema fit, field completeness, and data quality before signing a contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off regional export or a continuous market-monitoring feed across Quebec — we scope, build, and operate the pipeline. Tell us what you need.
