# Maersk Tracking Scraper (`muhammetakkurtt/maersk-tracking-scraper`) Actor Extract real-time Maersk tracking data for containers, B/L and booking numbers in bulk. Get origin/destination terminals, container sizes, movement events with timestamps and locations. Schedule automated runs to monitor shipment progress. Export structured data as JSON, CSV, Excel or XML. - **URL**: https://apify.com/muhammetakkurtt/maersk-tracking-scraper.md - **Developed by:** [Muhammet Akkurt](https://apify.com/muhammetakkurtt) (community) - **Categories:** Automation, Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 tracking results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ![Maersk Container Tracking & Shipment Data Scraper — Track by Container, B/L or Booking Number](https://i.postimg.cc/LsBqk3st/maersk-banner.png) ## Maersk Tracking Scraper ### What does Maersk Tracking Scraper do? **Maersk Tracking Scraper** is an [Apify actor](https://apify.com/actors) that extracts real-time shipment tracking data from [Maersk](https://www.maersk.com/), the world's largest container shipping carrier. Simply enter your tracking numbers — **container numbers**, **B/L (Bill of Lading) numbers**, or **booking numbers** — and the scraper queries the Maersk tracking system and returns structured shipment data ready for analysis or integration. No coding experience is needed. Paste your numbers, click **Start**, and download the results in JSON, CSV, Excel, or other formats. ### Why scrape Maersk shipment data? Manually checking the Maersk website for container tracking updates is time-consuming, especially when managing multiple shipments across different routes. This actor automates Maersk cargo tracking so you can: - 📦 **Monitor shipment status** — Get real-time container locations, milestones, movement events, and last-update times - 🔄 **Track in bulk** — Track hundreds of containers, B/L numbers, or booking references in a single run - 📊 **Feed data into dashboards** — Export structured tracking data to Google Sheets, Slack, email, or your own systems via [Apify integrations](https://apify.com/integrations) - ⏰ **Set up automated tracking** — Schedule periodic runs to monitor shipment progress without manual checks - 🔗 **Build logistics pipelines** — Use the [Apify API](https://docs.apify.com/api/v2) to integrate Maersk tracking data into your supply chain management tools ### What data can you extract from Maersk? The scraper extracts the following data points from Maersk's tracking system: | Data Field | Description | Availability | |---|---|---| | **Tracking Number** | The number you submitted | Always | | **Origin** | Origin terminal, city, state, country, country code, and UN/LOCODE | Always | | **Destination** | Destination terminal, city, state, country, country code, and UN/LOCODE | Always | | **Last Update Time** | Timestamp of the most recent tracking event | Always | | **Container Number** | Container number for each container on the shipment | Always | | **Container Size & Type** | Size, type and ISO code (e.g., `40' FLAT`, `45P3`) | Always | | **Operator** | Container operator code | Always | | **Movement Events** | Every milestone per container — GATE-IN/OUT, load, discharge, etc. — with activity, timestamp and location | Always | | **Event Locations** | Terminal, depot, city and country for each movement event | Always | | **Shipment Flags** | Import/export, container-search, split/combine and cancellation flags | Always | > **Tip:** Each container carries its full movement history (`locations` → `events`), so you get the complete origin-to-destination journey for every box on the shipment. ### Ready-to-Run Examples Get started in seconds — open the example in the Apify Console and click **Run**: - **[Track Maersk Containers by Container Number]https://apify.com/muhammetakkurtt/maersk-tracking-scraper/examples/track-maersk-containers-by-container-number)** — enter a container number and get its origin, destination, route and full per-container movement events. ### How to track Maersk shipments step by step 1. Go to the [Maersk Tracking Scraper](https://apify.com/muhammetakkurtt/maersk-tracking-scraper) on Apify Store 2. Click **Try for free** to open the actor in the Apify Console 3. Enter your tracking numbers in the **Tracking Numbers** field — one per line. Container numbers (e.g., `MAEU3402103`), B/L numbers, and booking numbers are all accepted 4. Click **Start** to run the scraper 5. When the run finishes, preview the results in the **Output** tab, or download them as **JSON**, **CSV**, **Excel**, **XML**, **HTML**, or **RSS** #### Example input ```json { "trackingNumbers": [ "MAEU3402103" ] } ```` #### Maersk tracking input parameters | Parameter | Type | Required | Default | Description | |---|---|---|---|---| | `trackingNumbers` | Array of strings | ✅ Yes | — | The numbers to track. Container numbers, B/L numbers, and booking numbers are all accepted. | ### Maersk Tracking Scraper output example Each tracked number produces one structured item in the dataset. Here is an example of the output when tracking a container number: ```json { "tracking_number": "MAEU3402103", "has_import_shipment": false, "is_container_search": true, "last_update_time": "2025-05-02T19:23:56.000Z", "origin": { "terminal": "OSLO YILPORT CONTAINER TERMINAL", "city": "OSLO", "state": null, "country": "NORWAY", "country_code": "NO", "site_type": "TERMINAL", "location_code": "NOOSL" }, "destination": { "terminal": "TERMINAL PACIFICO SUR VALPARAISO", "city": "VALPARAISO", "state": null, "country": "CHILE", "country_code": "CL", "site_type": "TERMINAL", "location_code": "CLVAP" }, "containers": [ { "container_num": "MAEU3402103", "container_size": "40", "container_type": "FLAT", "iso_code": "45P3", "operator": "MAEU", "locations": [ { "terminal": "OSLO YILPORT CONTAINER TERMINAL", "city": "Oslo", "country": "Norway", "country_code": "NO", "site_type": "TERMINAL", "location_code": "NOOSL", "events": [ { "activity": "GATE-OUT", "actfor": "EXP", "event_time": "2025-03-18T09:12:00.000", "stempty": true }, { "activity": "LOAD", "actfor": "EXP", "event_time": "2025-03-21T14:40:00.000", "stempty": false } ] } ] } ] } ``` > The actual output includes every container on the shipment with its full movement history. The example above is shortened for clarity. You can download the complete dataset in **JSON**, **CSV**, **Excel**, and other formats from the **Output** tab. ### Integrations and Maersk tracking API Maersk Tracking Scraper is built on the [Apify platform](https://apify.com/), which gives you powerful options to automate and integrate your cargo tracking workflow: - **API access** — Call the actor programmatically via the [Apify API](https://docs.apify.com/api/v2) to track shipments from your own applications - **Scheduled runs** — Set up [scheduled recurring runs](https://docs.apify.com/platform/schedules) to monitor shipment progress daily, hourly, or at any interval - **Webhooks** — Receive notifications when a tracking run finishes so you can trigger downstream processes - **Integrations** — Connect tracking results to [Google Sheets](https://apify.com/integrations/google-sheets), [Slack](https://apify.com/integrations/slack), [Zapier](https://apify.com/integrations/zapier), [Make](https://apify.com/integrations/make), and [many more](https://apify.com/integrations) - **Data formats** — Download results in JSON, CSV, Excel, XML, HTML, or RSS This makes Maersk Tracking Scraper a drop-in solution for supply chain management systems, logistics dashboards, and automated shipping notifications. ### Frequently asked questions #### Is it legal to scrape Maersk? Our scrapers are ethical and do not extract any private user data. They only extract publicly available shipment tracking information that any visitor can access on the Maersk website. We therefore believe that our scrapers, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain data related to commercial shipments. If you're unsure about your use case, consult your legal team. #### Can I track multiple shipments at once? Yes. Enter as many tracking numbers as you need in the **Tracking Numbers** field — one per line. The scraper processes them in parallel batches for maximum speed and uses automatic IP rotation to handle rate limits. #### What types of tracking numbers are supported? The scraper accepts three types of numbers: - **Container numbers** — ISO 6346 format (4 letters + 7 digits, e.g., `MAEU3402103`) - **B/L (Bill of Lading) numbers** — Maersk B/L reference numbers - **Booking numbers** — Maersk booking reference numbers #### What if a tracking number is not found? If a number returns no tracking data from Maersk's system, the scraper logs a warning and skips it. You are not charged for numbers that return no results. #### How do I get support or report issues? If you encounter any issues or have questions about the Maersk Tracking Scraper, you can: - Open an issue on the [Issues tab](https://apify.com/muhammetakkurtt/maersk-tracking-scraper/issues) of the actor page - Reach out to the developer for a custom solution based on your specific tracking needs We welcome all feedback and feature requests! # Actor input Schema ## `trackingNumbers` (type: `array`): The numbers to track — one per line. Container numbers, bill-of-lading numbers and booking numbers are all accepted. ## Actor input object example ```json { "trackingNumbers": [ "MAEU3402103" ] } ``` # Actor output Schema ## `results` (type: `string`): Collected Maersk shipment tracking data, one item per tracking number # 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("muhammetakkurtt/maersk-tracking-scraper").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("muhammetakkurtt/maersk-tracking-scraper").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 muhammetakkurtt/maersk-tracking-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=muhammetakkurtt/maersk-tracking-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Maersk Tracking Scraper", "description": "Extract real-time Maersk tracking data for containers, B/L and booking numbers in bulk. Get origin/destination terminals, container sizes, movement events with timestamps and locations. Schedule automated runs to monitor shipment progress. Export structured data as JSON, CSV, Excel or XML.", "version": "0.0", "x-build-id": "ExDP7VLTgHfIjEqnG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/muhammetakkurtt~maersk-tracking-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-muhammetakkurtt-maersk-tracking-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/muhammetakkurtt~maersk-tracking-scraper/runs": { "post": { "operationId": "runs-sync-muhammetakkurtt-maersk-tracking-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/muhammetakkurtt~maersk-tracking-scraper/run-sync": { "post": { "operationId": "run-sync-muhammetakkurtt-maersk-tracking-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "trackingNumbers" ], "properties": { "trackingNumbers": { "title": "Tracking Numbers", "minItems": 1, "type": "array", "description": "The numbers to track — one per line. Container numbers, bill-of-lading numbers and booking numbers are all accepted.", "default": [ "MAEU3402103" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```