You need a reliable way to pull current congestion signals for Shanghai (CNSHA) into your stack and ship a working PHP lookup that your team can call in production. By the end of this guide, you will query FreightPulse for CNSHA congestion via cURL, parse the JSON in PHP, and expose a simple interface that returns the signal your UI or downstream jobs can use—plus a small Python example for teams that prototype outside PHP.
What you will build for Shanghai (CNSHA)
This post focuses on the Shanghai container port (LOCODE: CNSHA). You will:
- Authenticate with an X-API-Key header and call the FreightPulse congestion endpoint for CNSHA.
- Parse the standard response envelope: success and data.
- Extract the congestion signal using the fields that matter: congestion, metrics.ratio_vs_baseline, and as_of.
- Render lightweight output for dashboards or pipelines, with safe caching and error handling.
All examples are platform-agnostic at the HTTP layer and use the exact endpoint, auth header, and fields provided by FreightPulse. This post does not quote freight rates and does not treat congestion as live AIS wait time.
Data source and how to interpret the lag
FreightPulse congestion signals are derived from IMF PortWatch (portwatch.imf.org) using UN Global Platform AIS data. The activity (and the deprecated alias congestion) is based on the recent 7-day average port-call volume compared to a 90-day baseline, by port. It measures activity, not vessel wait or anchorage time.
The dataset is lagged because PortWatch republishes the daily series only once a week. Expect a lag window of several days between today and the latest as_of date in the API. Always display or log the as_of date and avoid marketing it as live AIS data.
Authentication and request envelope
Use an API key via the X-API-Key header:
- Header: X-API-Key: YOUR_API_KEY
- Guests without a key: 100 requests/day per IP
FreightPulse wraps responses in an envelope that looks like this:
- success: boolean
- data: object with your results
In other words, check success first, then descend into data to read result fields. For CNSHA, you will read congestion (alias of activity), metrics.ratio_vs_baseline, and as_of.
Quick test with cURL
Run this from any shell to confirm access and validate the shape of the payload. Replace the header value with your key when you have one; you can test as a guest as well.
Live FreightPulse congestion for CNSHA.
Source: live
cURL:
curl -H "X-API-Key: YOUR_API_KEY" "https://freightpulsehq.com/api/v1/port-congestion?port=CNSHA"
Understand the JSON you will parse
Below is the official JSON sample for the CNSHA query. Do not assume that the value of any field is live beyond what is shown here—always key your logic to the fields and allow values to change.
JSON:
{
"success": true,
"data": {
"results": [
{
"port": "Shanghai",
"locode": "CN SGH",
"country": "China",
"activity": "moderate",
"congestion": "moderate",
"as_of": "2026-11-06",
"metrics": {
"recent_avg_portcalls_per_day": 77.9,
"baseline_avg_portcalls_per_day": 82.8,
"ratio_vs_baseline": 0.94
}
}
],
"global_summary": {
"ports_high_activity": 0,
"ports_moderate_activity": 1,
"ports_low_activity": 0,
"ports_high_congestion": 0,
"ports_moderate": 1,
"ports_low": 0
},
"meta": {
"source": "IMF PortWatch (portwatch.imf.org) - UN Global Platform AIS data",
"data_lag_days": "4-11 (PortWatch republishes the daily series once a week; check as_of)",
"methodology": "activity is port-call volume, not congestion: last 7 days' avg calls vs a 90-day baseline for the same port. low means fewer calls than usual, which can be a closure or ships waiting offshore. It does not measure vessel wait or anchorage time. congestion is a deprecated alias of activity."
}
},
"meta": {
"request_id": "7b4ffe91-8133-466a-adb7-7bf7acb7459e"
}
}
Fields you will actually use for Shanghai (CNSHA):
- data.results[0].congestion: categorical signal (e.g., moderate). This is an alias for activity.
- data.results[0].metrics.ratio_vs_baseline: numeric ratio versus the 90-day baseline.
- data.results[0].as_of: ISO date (YYYY-MM-DD) for the signal. Treat this as UTC date.
You may also display port (Shanghai), country (China), and the optional global_summary for context, but your integration should not depend on those values being present in any specific order.
PHP implementation: fetch and parse CNSHA congestion
The snippet below uses PHP’s cURL extension and native JSON decoding. It returns a simple associative array with the three fields you need for Shanghai: congestion, ratio_vs_baseline, and as_of.
<?php
function fetchCnshaCongestion(): array
{
$url = 'https://freightpulsehq.com/api/v1/port-congestion?port=CNSHA';
$ch = curl_init($url);
curl_setopt_array($ch, [
CURLOPT_RETURNTRANSFER => true,
CURLOPT_HTTPHEADER => [
'X-API-Key: YOUR_API_KEY',
'Accept: application/json'
],
CURLOPT_TIMEOUT => 20,
]);
$body = curl_exec($ch);
$errNo = curl_errno($ch);
$status = curl_getinfo($ch, CURLINFO_HTTP_CODE);
curl_close($ch);
if ($errNo !== 0) {
throw new RuntimeException('Network error calling FreightPulse: cURL errno ' . $errNo);
}
if ($status < 200 || $status >= 300) {
throw new RuntimeException('FreightPulse returned HTTP ' . $status);
}
$json = json_decode($body, true);
if (!is_array($json) || empty($json['success']) || empty($json['data']['results'][0])) {
throw new RuntimeException('Unexpected FreightPulse payload or unsuccessful response');
}
$row = $json['data']['results'][0];
// Defensive checks: ensure fields exist before accessing
$congestion = $row['congestion'] ?? ($row['activity'] ?? null);
$asOf = $row['as_of'] ?? null;
$ratio = $row['metrics']['ratio_vs_baseline'] ?? null;
if ($congestion === null || $asOf === null || $ratio === null) {
throw new RuntimeException('Missing required fields in FreightPulse response');
}
return [
'port' => $row['port'] ?? 'Shanghai',
'locode' => $row['locode'] ?? 'CNSHA',
'country' => $row['country'] ?? 'China',
'congestion' => $congestion,
'ratio_vs_baseline' => $ratio,
'as_of' => $asOf,
];
}
// Example usage:
try {
$cnsha = fetchCnshaCongestion();
// Render or log the signal
echo 'Port: ' . $cnsha['port'] . PHP_EOL;
echo 'As of: ' . $cnsha['as_of'] . ' (UTC date)' . PHP_EOL;
echo 'Congestion: ' . $cnsha['congestion'] . PHP_EOL;
echo 'Ratio vs baseline: ' . $cnsha['ratio_vs_baseline'] . PHP_EOL;
} catch (Throwable $e) {
// Integrate with your logging/alerting here
error_log($e->getMessage());
http_response_code(502);
echo 'Temporarily unable to retrieve port congestion';
}
Notes on productionizing the PHP call
- HTTP timeouts: 20 seconds is conservative; tune down if your SLA is tighter.
- Idempotence: it is a GET; safe to retry if you get transient 5xx.
- Parsing: treat congestion as a categorical label and ratio_vs_baseline as a float.
- Display: always include as_of to avoid implying real-time AIS coverage.
Python example (same endpoint, same fields)
If your team prototypes in Python, the following requests snippet hits the same endpoint and extracts the same fields.
import requests
URL = "https://freightpulsehq.com/api/v1/port-congestion?port=CNSHA"
HEADERS = {
"X-API-Key": "YOUR_API_KEY",
"Accept": "application/json",
}
def fetch_cnsha():
r = requests.get(URL, headers=HEADERS, timeout=20)
r.raise_for_status()
payload = r.json()
if not payload.get("success"):
raise RuntimeError("Unsuccessful FreightPulse response")
results = payload.get("data", {}).get("results", [])
if not results:
raise RuntimeError("No results for CNSHA")
row = results[0]
congestion = row.get("congestion", row.get("activity"))
as_of = row.get("as_of")
ratio = (row.get("metrics") or {}).get("ratio_vs_baseline")
if congestion is None or as_of is None or ratio is None:
raise RuntimeError("Missing required fields in response")
return {
"port": row.get("port", "Shanghai"),
"locode": row.get("locode", "CNSHA"),
"country": row.get("country", "China"),
"congestion": congestion,
"ratio_vs_baseline": ratio,
"as_of": as_of,
}
if __name__ == "__main__":
data = fetch_cnsha()
print(f"Port: {data['port']}")
print(f"As of: {data['as_of']} (UTC date)")
print(f"Congestion: {data['congestion']}")
print(f"Ratio vs baseline: {data['ratio_vs_baseline']}")
How to display and store the CNSHA signal safely
Consider the following guardrails when integrating CNSHA congestion into a dashboard or feed:
- Units: metrics.ratio_vs_baseline is unitless (a ratio). Values near 1.0 indicate activity near the 90-day baseline.
- Timestamps: as_of is a date string in YYYY-MM-DD. Treat it as a UTC date, not a local timestamp. If you need a time component, annotate it yourself (e.g., retrieval time) without implying source precision.
- Caching: because the data is republished weekly and is lagged, caching by (port, as_of) is safe for at least one day. You can also implement a short TTL (e.g., a few hours) to avoid hot-spotting.
- Retries: implement exponential backoff on network errors and 5xx status codes.
- Envelope: always verify success === true and handle the case where results is empty.
What the congestion label means for Shanghai
In this dataset, congestion is a categorical alias of activity based on port-call volumes. For Shanghai, read it as a signal of relative activity versus the recent 90-day baseline. It can be informative during holidays, weather events, or operational disruptions when port calls deviate from typical patterns.
Do not interpret the label as live vessel dwell or anchorage wait. If you need operational wait time, you would need a different source designed for live AIS or queue estimates. This API’s strength is in recent activity vs. baseline.
Do not quote freight rates as today’s price
Port activity is informative for planning, but it is not a freight rate. Do not display USD fares or imply that the congestion value reflects a current rate for Shanghai. If you maintain a freight-pricing module, keep it decoupled from this signal and clearly labeled with its own source and timestamp.
Error handling and edge cases
- Empty results: treat as a soft failure and surface a non-blocking message to the UI. Keep your last-known-good cache by as_of.
- Schema drift: code defensively; use null coalescing for congestion/activity and check metrics is present before accessing ratio_vs_baseline.
- Guest quota: if you are testing without an API key, respect the 100 requests/day per IP guidance. In production, use a key.
- Single-port focus: this guide queries only CNSHA. Do not substitute a different port in code unless your product requirements call for it.
End-to-end example: small PHP presenter
This snippet wraps the fetcher with a minimal presenter that returns an HTTP 200 JSON page for your monitoring UI. Keep it behind your own authentication if needed.
<?php
header('Content-Type: application/json');
try {
$data = fetchCnshaCongestion(); // Reuse the function from earlier
// A thin view-model for frontends
$out = [
'port' => $data['port'],
'locode' => $data['locode'],
'country' => $data['country'],
'signal' => [
'congestion' => $data['congestion'],
'ratio_vs_baseline' => $data['ratio_vs_baseline'],
'as_of' => $data['as_of'], // YYYY-MM-DD, UTC date
],
'source' => 'FreightPulse / IMF PortWatch',
'fetched_at' => gmdate('c'), // ISO 8601 UTC
];
echo json_encode($out, JSON_PRETTY_PRINT);
} catch (Throwable $e) {
http_response_code(502);
echo json_encode([
'error' => 'upstream_unavailable',
'message' => $e->getMessage(),
]);
}
Testing checklist before you ship
- Run the official cURL and confirm HTTP 200 and success: true.
- Verify your parser can handle both congestion and activity fields equivalently.
- Log and surface the as_of date so stakeholders see the lag explicitly.
- Cache by (port=CNSHA, as_of) and expose a manual refresh that bypasses cache for debugging.
- Feature-flag the display if your product treats this signal as advisory.
Troubleshooting and observability
- Network: capture cURL errno and HTTP status in logs to distinguish transport vs. application failures.
- Schema: dump a sample of data.meta and data.global_summary occasionally to detect upstream changes without breaking the main flow.
- Quotas: if requests start failing under higher load, validate that you are not hitting guest limits and that your key is sent on every call.
- Backfills: if you store historical snapshots, use as_of as the primary key for time; do not use your retrieval timestamp.
Developer FAQ
- Is this live AIS congestion or a modeled signal?
It is a modeled signal from IMF PortWatch using port-call volumes. It is not a live AIS wait-time estimator. Expect a lag and always display as_of. - Which fields should I persist for Shanghai?
Keep as_of (date), congestion (categorical), and metrics.ratio_vs_baseline (float). Optionally store port and country for display. - How should I authenticate in production?
Send X-API-Key: YOUR_API_KEY on every request. Do not hardcode the key in client-side code. Store it in server-side config or a secret manager. - Can I call other ports with the same code?
Yes, the endpoint accepts a port parameter. This guide focuses on CNSHA; if you generalize, ensure your UI still displays as_of and does not imply live AIS. - What’s the recommended cache policy?
Cache by (port, as_of). Because PortWatch republishes weekly, a multi-hour TTL is reasonable. Invalidate when as_of advances.
Ready to wire up CNSHA and move from manual checks to an automated pipeline? Create an account to get an API key and read the schema notes in the docs: Register and review the Documentation.