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CityBikes Bike Share Scraper

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CityBikes Bike Share Scraper

CityBikes Bike Share Scraper

Scrape bike sharing network data from 700+ cities worldwide. Get station locations, availability counts, operator info, and real-time bike/slot availability. Filter by country, city, or specific network ID for urban mobility analysis.

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from $6.00 / 1,000 results

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ParseForge

ParseForge

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๐Ÿšฒ CityBikes Bike-Sharing Networks Scraper

๐Ÿš€ Pull live station data, bike counts, and e-bike availability from 700+ bike-sharing networks across 60+ countries in one unified format.

Pull structured records from CityBikes Bike Share โ€” clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.

Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

parseforge/citybikes-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/citybikes-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: maxItems (integer, default 10), networkId (string), country (string), city (string), includeStations (boolean, default false). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~citybikes-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

CityBikes Scraper collects real-time bike-sharing data from over 700 networks worldwide. Each station record includes the network name, operator company, city, country, GPS coordinates, street address, free bikes, empty slots, e-bike counts, and timestamp of the last update. You can filter by a specific network ID, country code, or city name to get exactly the data you need.

Urban planners use this to study station utilization patterns. Mobility startups pull it to research existing networks before launching in a new city. App developers feed the data into availability features. Researchers snapshot it hourly to build time-series datasets on micro-mobility trends. If you need structured bike-sharing data from Citi Bike, Velib, Santander Cycles, or any other system, this actor delivers it in seconds.

TargetCityBikes (700+ bike-sharing networks)
Use CasesUrban planning analysis, mobility startup research, station availability monitoring, micro-mobility trend studies

๐Ÿ“‹ What it does

  • ๐ŸŒ Global coverage. Access data from over 700 bike-sharing systems across 60+ countries on every continent.
  • ๐Ÿ“ GPS station locations. Get latitude, longitude, and street address for every docking station.
  • ๐Ÿšด Live availability. Real-time counts of free bikes, empty slots, and total capacity per station.
  • โšก E-bike breakdown. Separate tallies for electric and standard bikes where the network publishes them.
  • ๐Ÿ” Flexible filtering. Query by network ID, country code, or city name to narrow your results.

Each record gives you a complete snapshot of one station: which network it belongs to, who operates it, where it sits on the map, and how many bikes and slots are available right now.

๐Ÿ’ก Why it matters: Checking bike availability across multiple cities means visiting dozens of separate dashboards. This actor pulls everything into one dataset with a consistent schema, saving hours of manual collection.

๐Ÿ“Š Data fields

Each record includes: address, city, company, country, ebikes, emptySlots, freeBikes, latitude, longitude, networkId, networkName, normalBikes, scrapedAt, stationId, stationName, timestamp, totalEmptySlots, totalFreeBikes, totalSlots, totalStations. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

โš ๏ธ Good to Know: Station availability data is refreshed every 1 to 5 minutes by each network operator. For historical analysis, schedule hourly runs and compare snapshots over time.

๐Ÿš€ How to use

  1. ๐Ÿ“ Sign up. Create a free account with $5 credit (takes 2 minutes).
  2. ๐ŸŒ Open the Actor. Go to the CityBikes Scraper page on the Apify Store.
  3. ๐ŸŽฏ Set input. Enter a network ID, country code, or city name. Set your max items.
  4. ๐Ÿš€ Run it. Click Start and let the Actor collect your data.
  5. ๐Ÿ“ฅ Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

โฑ๏ธ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

๐Ÿ’ก Pro Tip: browse the complete ParseForge collection for more data scrapers and tools.

โš ๏ธ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by CityBikes or any bike-sharing operator. All trademarks mentioned are the property of their respective owners. Only publicly available data is collected.

๐Ÿ†˜ Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.