# US Border Wait Times Tracker (`martc03/border-wait-times`) Actor Tracks real-time wait times at all US-Canada and US-Mexico border crossings from CBP. Standard vehicles, SENTRI, Ready Lane, pedestrian lanes. - **URL**: https://apify.com/martc03/border-wait-times.md - **Developed by:** [CoDee](https://apify.com/martc03) (community) - **Categories:** Travel, Automation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ## US Border Wait Times Tracker Real-time **US border crossing wait times** from [CBP (Customs and Border Protection)](https://bwt.cbp.gov/) for **80+ ports of entry** on the Canadian and Mexican borders. ### What data does it extract? For each border crossing, the Actor extracts wait times across **3 lane types** and **4 lane categories**: | Lane Type | Categories Tracked | |-----------|-------------------| | **Commercial Vehicle** | Standard, FAST | | **Passenger Vehicle** | Standard, NEXUS/SENTRI, Ready Lane | | **Pedestrian** | Standard, Ready Lane | For each lane, the data includes: - **Delay minutes** (current wait time) - **Lanes open** (how many lanes are active) - **Maximum lanes** (total capacity) - **Operational status** (no delay, delay, lanes closed, etc.) ### Output example ```json { "portNumber": "250401", "border": "Mexican Border", "portName": "San Ysidro", "crossingName": "San Ysidro", "operatingHours": "24 hrs/day", "portStatus": "Open", "laneType": "Passenger Vehicle", "laneCategory": "Standard", "operationalStatus": "delay", "delayMinutes": 45, "lanesOpen": 8, "maximumLanes": 25, "lastUpdated": "At 9:00 am PST", "constructionNotice": "", "scrapedAt": "2026-02-18T13:00:00.000Z", "sourceUrl": "https://bwt.cbp.gov/api/waittimes" } ```` Each run produces **~250-350 records** covering all active border crossings and lane types. ### Input options | Parameter | Type | Description | |-----------|------|-------------| | `border` | string | Filter to `"Canadian Border"` or `"Mexican Border"`. Leave empty for both. | | `portNames` | string\[] | Filter to specific ports (e.g., `["San Ysidro", "Blaine"]`). Matches port name or crossing name. Leave empty for all. | | `laneTypes` | string\[] | Filter to `"commercial"`, `"passenger"`, and/or `"pedestrian"`. Leave empty for all. | ### Use cases - **Trucking & logistics companies** - Monitor commercial vehicle wait times to optimize border crossing schedules and routes - **Cross-border commuters** - Track passenger vehicle delays at your regular crossing points - **Supply chain managers** - Factor real-time border delays into delivery time estimates - **Travel apps & services** - Integrate live border wait data into navigation and trip planning tools - **Trade & customs brokers** - Alert clients about unusual delays or lane closures - **Data journalists** - Analyze border crossing patterns, seasonal trends, and infrastructure utilization - **Government researchers** - Study border traffic flow and crossing efficiency ### How the `delayMinutes` field works | Raw status | `delayMinutes` | |------------|---------------| | `"no delay"` | `0` or `5` (CBP reports minimum ~5 min) | | `"delay"` | Actual minutes (e.g., `45`) | | `"Lanes Closed"` | `null` | | `"Update Pending"` | `null` | | `"N/A"` | `null` | ### Data freshness CBP updates this data **multiple times per hour**. Schedule this Actor to run every 15-60 minutes for near-real-time border wait monitoring. ### Cost This Actor makes a single API request per run. Typical cost: **less than $0.01 per run**. # Actor input Schema ## `border` (type: `string`): Filter to a specific border. Leave empty for both. ## `portNames` (type: `array`): Filter to specific ports by name (e.g., \["San Ysidro", "Blaine"]). Matches port name or crossing name. Leave empty for all. ## `laneTypes` (type: `array`): Filter to specific lane types. Leave empty for all. ## Actor input object example ```json {} ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("martc03/border-wait-times").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 = {} # Run the Actor and wait for it to finish run = client.actor("martc03/border-wait-times").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 '{}' | apify call martc03/border-wait-times --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=martc03/border-wait-times", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "US Border Wait Times Tracker", "description": "Tracks real-time wait times at all US-Canada and US-Mexico border crossings from CBP. Standard vehicles, SENTRI, Ready Lane, pedestrian lanes.", "version": "0.1", "x-build-id": "6ulsTe3TYfCsifbqo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/martc03~border-wait-times/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-martc03-border-wait-times", "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/martc03~border-wait-times/runs": { "post": { "operationId": "runs-sync-martc03-border-wait-times", "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/martc03~border-wait-times/run-sync": { "post": { "operationId": "run-sync-martc03-border-wait-times", "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": { "border": { "title": "Border", "enum": [ "Canadian Border", "Mexican Border" ], "type": "string", "description": "Filter to a specific border. Leave empty for both." }, "portNames": { "title": "Port Names", "type": "array", "description": "Filter to specific ports by name (e.g., [\"San Ysidro\", \"Blaine\"]). Matches port name or crossing name. Leave empty for all.", "items": { "type": "string" } }, "laneTypes": { "title": "Lane Types", "type": "array", "description": "Filter to specific lane types. Leave empty for all.", "items": { "type": "string", "enum": [ "commercial", "passenger", "pedestrian" ] } } } }, "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 } } } } } } } } } } ```