# Canada Vehicle Recalls (Transport Canada Open Data) (`agentumgroup/ca-vehicle-recalls`) Actor Vehicle safety recalls from Transport Canada's official open-data registry — last 60 days or full history. Filter by make, category, date range, and keywords. Official data, no scraping. - **URL**: https://apify.com/agentumgroup/ca-vehicle-recalls.md - **Developed by:** [AgentumGroup](https://apify.com/agentumgroup) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Canada Vehicle Recalls (Transport Canada Open Data) Extract vehicle safety recall records from **Transport Canada's** official open-data registry — updated daily, zero scraping required. ### What it does Fetches the Government of Canada's Transport Canada Vehicle Recall Database (VRDB) — an authoritative, machine-readable CSV published under the Open Government Licence — and returns structured recall records filtered by date range, vehicle make, category, and keywords. Two data modes are available: - **`recent60`** (default) — last 60 days of recalls (~23,000 rows), refreshed daily. Fast and lightweight. - **`full`** — complete historical recall database (~100 MB). Use this for research, compliance audits, or building a persistent local database. Why Transport Canada data? It is the **official federal record** of all vehicle safety recalls issued in Canada. It is published directly by the regulator (Transport Canada), updated daily, and available under a permissive open licence that allows copying, redistribution, and commercial use with attribution. No proxies, no scraping, no fragile HTML parsing. ### Use cases - **Automotive dealers and fleet managers** — monitor recalls affecting vehicles in your inventory or fleet; trigger service campaigns before customers report issues. - **Car buying services and used-car platforms** — enrich vehicle listings with outstanding recall status to build buyer trust and reduce liability. - **AI agents and chatbots** — answer "is my car recalled?" questions with real-time official data. - **Insurance companies and vehicle telematics firms** — assess recall exposure across insured vehicles; flag high-risk makes and systems. - **Consumer safety advocates and journalists** — track newly issued recalls, identify systemic patterns (e.g., airbag failures across manufacturers), and monitor recall completion rates. - **Regulatory compliance teams** — maintain an up-to-date local database of Canadian recall activity for audit purposes. ### Data source & licence - **Source:** Transport Canada, Government of Canada - **Dataset:** [Transport Canada Vehicle Recall Database](https://open.canada.ca/data/en/dataset/1991fef6-9dfe-40e2-a0c6-19c60ddf4a02) - **60-day CSV:** `https://opendatatc.tc.canada.ca/vrdb_60days_daily.csv` - **Full history CSV:** `https://opendatatc.tc.canada.ca/vrdb_full_monthly.csv` - **Licence:** [Open Government Licence – Canada](https://open.canada.ca/en/open-government-licence-canada) — permits copying, redistribution, and commercial use with attribution. - **Update frequency:** Daily (60-day file); Monthly (full history file) ### Input | Field | Type | Default | Description | |---|---|---|---| | `mode` | string | `"recent60"` | `"recent60"` fetches the last 60 days (fast). `"full"` fetches the complete historical database (large, may take minutes). | | `recalledAfter` | date | `null` | Only recalls with a recall date on or after this date (YYYY-MM-DD). | | `recalledBefore` | date | `null` | Only recalls with a recall date on or before this date. | | `makes` | string[] | `[]` (all) | Filter to specific vehicle makes, case-insensitive (e.g. `["FORD", "HONDA"]`). | | `categories` | string[] | `[]` (all) | Filter to specific vehicle categories (e.g. `["SUV", "Passenger Car", "Light Truck"]`). | | `keywords` | string | `null` | Comma-separated keywords matched against recall description and system type (case-insensitive). Example: `"airbag, fire risk"`. | | `maxRecords` | integer | `500` | Maximum number of recall records to return (1–50,000). | #### Example input — recent Ford and Honda recalls ```json { "mode": "recent60", "makes": ["FORD", "HONDA"], "maxRecords": 200 } ```` #### Example input — SUV airbag recalls in the last year ```json { "mode": "full", "recalledAfter": "2025-07-01", "categories": ["SUV"], "keywords": "airbag", "maxRecords": 1000 } ``` #### Example input — smoke test (10 most recent recalls) ```json { "maxRecords": 10 } ``` ### Output Records are sorted by recall date descending (newest first), then by last updated date descending. Each dataset item: ```json { "recallNumber": "2026-257", "year": 2024, "manufacturerRecallNo": "24S06", "category": "SUV", "make": "FORD", "model": "EXPEDITION", "unitsAffected": 2479, "systemType": "Seats And Restraints", "notificationType": "Safety Recall", "recallDate": "2024-02-11", "lastUpdatedDate": "2026-06-11", "manufacturer": "FORD", "description": "On certain vehicles, the second-row seat track may not have been properly welded, which could allow the seat to move unexpectedly in a crash, increasing the risk of injury.", "sourceUrl": "https://tc.canada.ca/en/recall-alert/transport-canada-recall?number=2026-257", "fetchedAt": "2026-07-20T12:00:00.000Z" } ``` A `RUN_SUMMARY` key-value store record is also written with run metadata: ```json { "fetchedAt": "2026-07-20T12:00:00.000Z", "input": { "mode": "recent60", "maxRecords": 500 }, "totalRecords": 312, "source": "https://opendatatc.tc.canada.ca/vrdb_60days_daily.csv" } ``` ### Legality This Actor fetches data from the Government of Canada's **Open Government Portal** under the **[Open Government Licence – Canada](https://open.canada.ca/en/open-government-licence-canada)**. The licence permits you to: - Copy, modify, publish, translate, adapt, and distribute the information. - Use it for commercial purposes. Attribution required: "Contains information licensed under the Open Government Licence – Canada." No login, API key, or web scraping is involved. The Actor makes plain HTTP GET requests to publicly available CSV files. ### Limitations - **Canada only.** This dataset covers recalls issued under Canadian law. US NHTSA recalls are a separate dataset. - **English fields only.** The CSV contains both English and French fields; this Actor uses English columns (`CATEGORY_ETXT`, `SYSTEM_TYPE_ETXT`, `COMMENT_ETXT`). - **`full` mode is large.** The full history CSV is approximately 100 MB uncompressed and may take several minutes to stream and process, depending on filters applied. Use `recent60` for routine monitoring. - **No recall completion data.** The database records the recall issuance and affected units, not how many vehicles have been remedied. ### Attribution Contains information licensed under the [Open Government Licence – Canada](https://open.canada.ca/en/open-government-licence-canada). # Actor input Schema ## `mode` (type: `string`): Which Transport Canada dataset to fetch. "recent60" fetches only the last 60 days of recalls (fast, ~23,000 rows, updated daily). "full" fetches the complete historical database (~100 MB, may take several minutes). ## `recalledAfter` (type: `string`): Only include recalls with a RECALL\_DATE\_DTE on or after this date. Leave blank for no lower bound. ## `recalledBefore` (type: `string`): Only include recalls with a RECALL\_DATE\_DTE on or before this date. Leave blank for no upper bound. ## `makes` (type: `array`): Limit results to specific vehicle makes (case-insensitive). Example: \["FORD", "HONDA"]. Leave empty for all makes. ## `categories` (type: `array`): Limit results to specific vehicle categories (case-insensitive). Example: \["SUV", "Passenger Car", "Light Truck", "Motorcycle"]. Leave empty for all categories. ## `keywords` (type: `string`): Optional comma-separated keywords matched against the recall description (COMMENT\_ETXT) and system type (SYSTEM\_TYPE\_ETXT), case-insensitive. Example: "airbag, seatbelt, fire". ## `maxRecords` (type: `integer`): Maximum number of recall records to return. ## Actor input object example ```json { "mode": "recent60", "makes": [], "categories": [], "maxRecords": 500 } ``` # 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 = { "mode": "recent60", "makes": [], "categories": [], "maxRecords": 500 }; // Run the Actor and wait for it to finish const run = await client.actor("agentumgroup/ca-vehicle-recalls").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 = { "mode": "recent60", "makes": [], "categories": [], "maxRecords": 500, } # Run the Actor and wait for it to finish run = client.actor("agentumgroup/ca-vehicle-recalls").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "mode": "recent60", "makes": [], "categories": [], "maxRecords": 500 }' | apify call agentumgroup/ca-vehicle-recalls --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agentumgroup/ca-vehicle-recalls", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Canada Vehicle Recalls (Transport Canada Open Data)", "description": "Vehicle safety recalls from Transport Canada's official open-data registry — last 60 days or full history. Filter by make, category, date range, and keywords. Official data, no scraping.", "version": "1.0", "x-build-id": "ynegQShIs1L1kZQGI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agentumgroup~ca-vehicle-recalls/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agentumgroup-ca-vehicle-recalls", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/agentumgroup~ca-vehicle-recalls/runs": { "post": { "operationId": "runs-sync-agentumgroup-ca-vehicle-recalls", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/agentumgroup~ca-vehicle-recalls/run-sync": { "post": { "operationId": "run-sync-agentumgroup-ca-vehicle-recalls", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "mode": { "title": "Data mode", "enum": [ "recent60", "full" ], "type": "string", "description": "Which Transport Canada dataset to fetch. \"recent60\" fetches only the last 60 days of recalls (fast, ~23,000 rows, updated daily). \"full\" fetches the complete historical database (~100 MB, may take several minutes).", "default": "recent60" }, "recalledAfter": { "title": "Recalled after (YYYY-MM-DD)", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Only include recalls with a RECALL_DATE_DTE on or after this date. Leave blank for no lower bound." }, "recalledBefore": { "title": "Recalled before (YYYY-MM-DD)", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Only include recalls with a RECALL_DATE_DTE on or before this date. Leave blank for no upper bound." }, "makes": { "title": "Vehicle make filter", "uniqueItems": true, "type": "array", "description": "Limit results to specific vehicle makes (case-insensitive). Example: [\"FORD\", \"HONDA\"]. Leave empty for all makes.", "items": { "type": "string" }, "default": [] }, "categories": { "title": "Vehicle category filter", "uniqueItems": true, "type": "array", "description": "Limit results to specific vehicle categories (case-insensitive). Example: [\"SUV\", \"Passenger Car\", \"Light Truck\", \"Motorcycle\"]. Leave empty for all categories.", "items": { "type": "string" }, "default": [] }, "keywords": { "title": "Keyword filter", "type": "string", "description": "Optional comma-separated keywords matched against the recall description (COMMENT_ETXT) and system type (SYSTEM_TYPE_ETXT), case-insensitive. Example: \"airbag, seatbelt, fire\"." }, "maxRecords": { "title": "Max records", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of recall records to return.", "default": 500 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```