We extract vehicle listings, pricing signals, dealer inventories, and VIN-level metadata from Kijiji Autos. 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 Vehicle Listings objects from kijijiautos.ca. All fields typed and schema-versioned.
"listing_id": "16492018", "vin": "2T3F1RFV8MW18492X", "make": "Toyota", "model": "RAV4", "year": 2021, "trim": "XLE Premium AWD", "mileage_km": 42500, "price": 34990.0, "condition": "Used", "drivetrain": "AWD", "location_city": "Toronto"
| # | listing_id | vin | make | model | year | trim |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Valuation objects from kijijiautos.ca. All fields typed and schema-versioned.
"listing_id": "16492018", "current_price": 34990.0, "original_price": 36500.0, "price_drop_amount": 1510.0, "price_drop_date": "2026-10-14", "financing_available": true, "estimated_payment": 245.5, "payment_frequency": "Bi-weekly", "great_deal_badge": true
| # | listing_id | vin | current_price | original_price | price_drop_amount | price_drop_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Dealer Information objects from kijijiautos.ca. All fields typed and schema-versioned.
"dealer_id": "D-84921", "dealer_name": "Downtown Toyota Auto Group", "city": "Toronto", "province": "ON", "rating": 4.6, "review_count": 312, "inventory_size": 145, "certified_dealer": true
| # | dealer_id | dealer_name | address | city | province | phone_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for History & Features objects from kijijiautos.ca. All fields typed and schema-versioned.
"vin": "2T3F1RFV8MW18492X", "accident_free": true, "one_owner": true, "safety_certified": true, "warranty_type": "Balance of Factory", "cpo_program": "Toyota Certified Used Vehicles", "features": "['Apple CarPlay', 'Blind Spot Monitor', 'Heated Seats']"
| # | listing_id | vin | carfax_url | accident_free | one_owner | safety_certified |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Search Results objects from kijijiautos.ca. All fields typed and schema-versioned.
"keyword": "Honda Civic", "location": "Vancouver, BC", "search_radius_km": 50, "position": 3, "listing_id": "18492210", "promoted_badge": false, "private_seller": true, "price": 18500.0, "scraped_at": "2026-10-15T14:22:10Z"
| # | keyword | location | search_radius_km | position | listing_id | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Kijiji Autos scraper handles dynamic pagination, location-based querying, and anti-bot circumvention to extract complete vehicle inventories across the Canadian market.
VIN, make, model, trim, year, mileage, price, transmission, and drivetrain — extracted at the individual listing level.
Differentiate between private sellers and commercial dealerships. Capture dealer names, addresses, and full inventory counts.
Monitor historical pricing changes, original list prices, and 'Great Deal' algorithmic badges assigned by the platform.
Iterate through specific Canadian postal codes and search radii to capture hyper-local market dynamics.
Extract accident history indicators, one-owner badges, and Certified Pre-Owned program status.
Normalise unstructured feature lists into structured arrays for amenities like navigation, heated seats, and driver assist systems.
Extract estimated bi-weekly payments, financing terms, and dealer fee disclosures where available.
Target specific dealer IDs to scrape their entire active inventory, regardless of search page visibility.
Track sponsored placements and top-of-page bumps to analyse dealer advertising expenditure.
Brief in. Clean data out.
Provide target makes, models, geographic regions, or specific dealer IDs. We design the extraction schema together.
We configure Scrapy crawlers, Canadian proxy rotation, and GraphQL query interception for kijijiautos.ca.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Kijiji implements rate limiting and geographic blocking. Here is how we maintain data flow without interruption.
Kijiji Autos aggressively blocks non-Canadian traffic and datacentre IPs. We route requests through a pool of Canadian residential proxies, matching the geographic origin to the target search radius to prevent location-based anomalies.
Instead of parsing brittle HTML, we intercept the underlying GraphQL queries Kijiji Autos uses to populate its frontend. This yields cleaner, richer data and bypasses DOM layout changes entirely.
Aggressive pagination triggers rate limits. We distribute search queries across thousands of distinct sessions, randomising request intervals and user-agent profiles to mimic natural browsing patterns.
For daily market monitoring, we hash listing IDs and current prices. Subsequent runs only emit new listings, sold vehicles, and price modifications, reducing processing overhead for your engineering team.
When Kijiji updates its GraphQL schema or introduces new required headers, our Prometheus metrics catch the drop in successful extractions immediately. Engineers update the pipeline before data delivery is impacted.
Dealerships monitor regional pricing trends to optimise their own listing prices and maximise margin.
Wholesalers track private seller listings in real-time to identify underpriced vehicles for immediate acquisition.
OEMs and large dealer networks track competitor inventory volume, days-on-market, and price drop frequency.
Insurers aggregate market values by make, model, and year to calibrate total-loss payout algorithms.
Professional flippers monitor cross-provincial price discrepancies to identify profitable transport-and-resell opportunities.
Hedge funds analyse used vehicle inventory levels and pricing as leading indicators of consumer spending and macroeconomic health.
"Kijiji Autos represents the most comprehensive view of the Canadian used vehicle market, but extracting it requires navigating aggressive anti-scraping measures and location blocks."
Automotive data changes rapidly. Relying on manual exports or brittle in-house scripts leads to stale pricing and missed acquisition opportunities. DataFlirt manages the proxy rotation, API query reverse-engineering, and schema maintenance so your analysts can focus on market valuation — not infrastructure.
Everything supported by our kijijiautos.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.
Playwright executes the initial handshake, while Scrapy intercepts and replays the GraphQL queries, bypassing the need to parse volatile frontend DOM structures.
Targeted Canadian residential proxy pools ensure requests appear local to the search radius, preventing Kijiji from serving default or restricted results.
Airflow manages concurrent scraping tasks across Kubernetes clusters, ensuring full market sweeps complete within tight operational windows.
Data delivered to where your team already works — no new tooling required.
About kijijiautos.ca scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available vehicle listings is generally permissible. DataFlirt targets only public, non-authenticated inventory and pricing data. We do not extract personal user accounts or circumvent authentication walls. Clients should review platform Terms of Service and consult legal counsel for their specific use cases.
We utilise premium Canadian residential proxy networks. By matching our request origin to the target search location, we avoid triggering geographic anomalies that result in IP bans or distorted search results.
Yes. If you provide a list of dealer names or Kijiji dealer IDs, we can configure the pipeline to scrape only their active inventory, capturing exact stock levels and pricing strategies.
We can configure pipelines to run continuously for real-time monitoring of specific models, or execute daily sweeps of the entire Canadian market. Delivery latency depends on the total volume of listings requested.
Yes. Our change detection system logs when a listing's price drops or increases. Over time, this builds a comprehensive time-series dataset of vehicle depreciation and dealer pricing behaviour.
Our smallest packages start at regional monitoring (e.g., specific postal codes or vehicle makes) with weekly delivery. For national coverage or custom schema requirements, we price based on volume and frequency.
Yes. We provide a sample run of up to 500 listings as part of the pre-engagement scoping process. This allows your engineering team to validate the schema, VIN accuracy, and field completeness before signing a contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily dump of the entire Canadian market or real-time alerts for specific vehicle models — we scope, build, and operate the pipeline. Tell us what you need.
