NYC Citi Bike Station Snapshot
Pricing
$10.00 / 1,000 0.01s
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NYC Citi Bike Station Snapshot
NYC Citi Bike station names and capacity from GBFS. Not hotel rate parity or occupancy. $0.01 / station.
NYC Citi Bike Station Snapshot
Pricing
$10.00 / 1,000 0.01s
NYC Citi Bike station names and capacity from GBFS. Not hotel rate parity or occupancy. $0.01 / station.
You can access the NYC Citi Bike Station Snapshot 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "watchlistTerms": ["Deterministic fixture Product Name for Travel Rate Parity Monitor"],10 "taskIntent": "buyer-ready-product-run",11 "sourceMode": "startUrls",12 "outputMode": "buyer-ready-records",13 "startUrls": [{ "url": "https://gbfs.lyft.com/gbfs/2.3/bkn/en/station_information.json" }],14 "requestTimeoutSecs": 30,15 "maxRequestRetries": 2,16 "sinceLastRun": False,17 "deltaMode": True,18}19
20# Run the Actor and wait for it to finish21run = client.actor("zentrafoundry/travel-rate-parity-monitor").call(run_input=run_input)22
23# Fetch and print Actor results from the run's dataset (if there are any)24print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")25for item in client.dataset(run.default_dataset_id).iterate_items():26 print(item)27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use NYC Citi Bike Station Snapshot API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: