# Get Vancouver condos for sale with their assessed value

**Use case:** 

Collects condos for sale in Vancouver from Realtor.ca and adds each one's BC Assessment value: asking price, assessed value, previous year value and change, asking-to-assessed ratio, year built, bedrooms, floor area, MLS number, address, listing agent and brokerage.

## Input

```json
{
  "addresses": [
    "202-1000 Beach Ave, Vancouver",
    "1000 Douglas St, Victoria"
  ],
  "pids": [],
  "rollNumbers": [],
  "plans": [],
  "startUrls": [],
  "mlsNumbers": [],
  "location": "Vancouver",
  "locations": [],
  "radiusKm": 10,
  "searchQueries": [],
  "transactionType": "sale",
  "propertyTypeGroup": "residential",
  "propertyType": "residential",
  "buildingType": "apartment",
  "ownershipType": "any",
  "constructionType": "any",
  "openHouseOnly": false,
  "liveStreamsOnly": false,
  "sortBy": "newest",
  "maxItems": 30,
  "maxItemsPerQuery": 0,
  "includeLandAndBuilding": false,
  "includeComparableSales": false,
  "includeListingDetails": false,
  "language": "en",
  "includeVancouverTaxData": false,
  "includeSalesHistory": false,
  "includeValueHistory": false,
  "excludeKeywords": [],
  "exactMatchOnly": false,
  "onlyNew": false,
  "stateKey": "default",
  "resetState": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "maxConcurrency": 8,
  "maxRequestsPerMinute": 240,
  "minRequestIntervalMs": 0,
  "maxRequestRetries": 5,
  "debugLog": false
}
```

## Output

```json
{
  "address": {
    "label": "Address",
    "format": "string"
  },
  "assessedValue": {
    "label": "Assessed value",
    "format": "number"
  },
  "previousAssessedValue": {
    "label": "Previous year value",
    "format": "number"
  },
  "landValue": {
    "label": "Land value",
    "format": "number"
  },
  "improvementValue": {
    "label": "Building value",
    "format": "number"
  },
  "yearBuilt": {
    "label": "Year built",
    "format": "integer"
  },
  "askingPrice": {
    "label": "Asking price (CAD)",
    "format": "number"
  },
  "askingToAssessedRatio": {
    "label": "Asking ÷ assessed",
    "format": "number"
  },
  "matchType": {
    "label": "Match",
    "format": "string"
  },
  "url": {
    "label": "BC Assessment page",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The BC Assessment Property Values Scraper Actor is ready to run with the inputs already set for "Get Vancouver condos for sale with their assessed value". [Sign up or log in](https://console.apify.com/create-task-from-example/oIb8FbrF2idTEhl5y) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Get Vancouver condos for sale with their assessed value" task

The BC Assessment Property Values Scraper Actor will start running based on the input automatically. You can also change all the input fields, like addresses, PIDs (parcel identifiers), and more, to match your specific use case.

### 3. Receive the "Get Vancouver condos for sale with their assessed value" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as address, assessed value, previous year value, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Get Vancouver condos for sale with their assessed value" task via API](https://apify.com/nice_dev/bcassessment-property-scraper.md).

## About this Actor

This example demonstrates how to use [BC Assessment Property Values Scraper](https://apify.com/nice_dev/bcassessment-property-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/nice_dev/bcassessment-property-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/nice_dev/bcassessment-property-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).