Pricing

Pay per usage

Tokyo Train Delay & Disruption Data

Real-time Tokyo train delay and disruption data from ODPT. Covers Toei, Metro, JR East and private railways. All output in English with operator and line details.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Shiokoshi356

Actor stats

Bookmarked

Total users

Monthly active users

7 days ago

Last modified

Tokyo Train Delay

Real-time Tokyo train delay and disruption data from ODPT. Covers Toei, Metro, JR East and private railways. All output in English with operator and line details.

What does this actor do?

This actor extracts structured data and outputs it in a clean, machine-readable JSON format. All results are available via the Apify API and can be exported to CSV, JSON, Excel, and other formats.

Input parameters

Parameter	Type	Required	Default	Description
Operator	string	No	-	Filter by operator name (e.g. 'Toei', 'Tokyo Metro', 'JR East'). Leave empty for all operators.
Include Normal	boolean	No	False	Include lines with no delays (normal operation).
Max Results	integer	No	100	Maximum number of results to return.
Log Level	string	No	INFO	Logging verbosity. Options: `DEBUG`, `INFO`, `WARNING`, `ERROR`

Output format

Each result item contains the following fields:

{
    "record_id": "...",
    "operator": "...",
    "operator_id": "...",
    "railway_line": "...",
    "railway_id": "...",
    "status": "...",
    "status_text": "...",
    "status_text_ja": "...",
    "cause": "...",
    "direction": "...",
    "transfer_railways": "...",
    "valid_from": "...",
    "recorded_at": "...",
    "data_source": "...",
    "OPERATOR_NAMES": "...",
    "RAILWAY_NAMES": "...",
    "status_text_ja": "...",
    "transfer_railways": "..."
}

How to use

Via Apify Console

Navigate to this actor's page on Apify Store
Configure the input parameters
Click Start and wait for the run to complete
Download results from the Dataset tab

Via Apify API

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("<ACTOR_ID>").call(run_input={
    "max_results": 100
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Integrations

This actor can be connected to various cloud services and web apps using integrations. You can integrate with services like Google Sheets, Slack, Zapier, Make, GitHub, and many more.

Pricing

This actor uses a pay-per-result pricing model at approximately $5 per 1,000 results. Actual costs may vary based on the complexity of the data extraction.

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