You can access the Port Operations Data | Congestion & Throughput programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "currentItems": [
10        {
11            "id": "port-la",
12            "port": "Los Angeles",
13            "region": "US West",
14            "dwellHours": 86,
15            "vesselsWaiting": 14,
16            "throughputIndex": 71,
17            "containersDelayed": 4200,
18            "date": "2026-09-23",
19        },
20        {
21            "id": "port-sg",
22            "port": "Singapore",
23            "region": "SEA",
24            "dwellHours": 42,
25            "vesselsWaiting": 8,
26            "throughputIndex": 84,
27            "containersDelayed": 1600,
28            "date": "2026-09-23",
29        },
30        {
31            "id": "port-rtm",
32            "port": "Rotterdam",
33            "region": "EU",
34            "dwellHours": 31,
35            "vesselsWaiting": 5,
36            "throughputIndex": 91,
37            "containersDelayed": 900,
38            "date": "2026-09-23",
39        },
40    ],
41    "previousItems": [
42        {
43            "id": "port-la",
44            "port": "Los Angeles",
45            "region": "US West",
46            "dwellHours": 54,
47            "vesselsWaiting": 7,
48            "throughputIndex": 83,
49            "containersDelayed": 2100,
50            "date": "2026-09-16",
51        },
52        {
53            "id": "port-sg",
54            "port": "Singapore",
55            "region": "SEA",
56            "dwellHours": 39,
57            "vesselsWaiting": 7,
58            "throughputIndex": 85,
59            "containersDelayed": 1450,
60            "date": "2026-09-16",
61        },
62    ],
63}
64
65# Run the Actor and wait for it to finish
66run = client.actor("quanmatrix/port-congestion-change-intelligence").call(run_input=run_input)
67
68# Fetch and print Actor results from the run's dataset (if there are any)
69print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
70for item in client.dataset(run.default_dataset_id).iterate_items():
71    print(item)
72
73# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Port Operations Data | Congestion & Throughput API in Python

The Apify API client for Python is the official library that allows you to use Port Operations Data | Congestion & Throughput API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Port Operations Data | Congestion & Throughput API in JavaScript

Port Operations Data | Congestion & Throughput API through CLI

Port Operations Data | Congestion & Throughput OpenAPI definition

Port Operations Data | Congestion & Throughput API

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mai_amm/singapore-port-congestion-trade-signal-radar

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gifted_wagon/ai-website-change-intelligence

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litezero/port-congestion-vessel-queue-scraper

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LiteZero

Port Congestion Data | Container Dwell Changes

quanmatrix/global-port-congestion-container-dwell-intelligence

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Meta Ad Creative Data | New & Removed Ads

quanmatrix/meta-ad-creative-turnover-analyzer

Compare supplied Meta Ads Library snapshots to identify newly observed, removed or changed advertising creatives. No live Ads Library scraping.

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ClinicalTrials.gov Change Monitor - Trial Diff Feed

splendorous_astrolabe_xs9/clinicaltrials-change-monitor

Change-detection feed for ClinicalTrials.gov: new trials, status flips (Recruiting to Terminated), new sites and PIs, enrollment changes. The diff, not another snapshot.