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TfL London Tube Arrivals Scraper

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TfL London Tube Arrivals Scraper

TfL London Tube Arrivals Scraper

Query Transport for London arrivals across tube and rail lines like Victoria, Central, Jubilee, or Elizabeth. Add an optional NaPTAN stop point id to scope to a single station. Useful for commuter dashboards, travel apps, journey planners, and London focused mobility research.

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from $7.50 / 1,000 results

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ParseForge

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๐Ÿš‡ TfL London Arrivals Scraper

๐Ÿš€ Export real-time Transport for London arrival predictions for the Underground, Overground, DLR, Elizabeth line, and buses from the public api.tfl.gov.uk endpoints.

The TfL London Arrivals Scraper turns the https://api.tfl.gov.uk/Line public endpoint into a clean, structured dataset, parses the response, and flattens it into one row per record. You can scope the run with input filters and pull whichever subset you need.

๐ŸŽฏ Target Audience๐Ÿ’ก Primary Use Cases
๐Ÿ“Š Data analystsPull the full public dataset into a warehouse
๐Ÿค– ML engineersBuild clean training sets without writing client code
๐Ÿ“ฐ Journalists & researchersVerify facts in seconds
๐Ÿ‘ฉโ€๐Ÿ’ป DevelopersMirror the upstream data into a database
๐Ÿข Product teamsPower dashboards and internal tools
๐ŸŽ“ Students & educatorsFree, structured datasets for projects

๐Ÿ“‹ What the TfL London Arrivals Scraper does

  • Calls the public https://api.tfl.gov.uk/Line endpoint with the input filters you supply.
  • Parses the response, locates each record, and flattens it into a row.
  • Casts numeric fields and surfaces upstream errors as a single record with the error field populated.
  • Stops cleanly at maxItems so you never blow past your dataset budget.
  • Exports to every format the Apify dataset supports , spreadsheet, warehouse, RSS, HTML, and more.

๐Ÿ’ก Why it matters: the upstream endpoint is public but the response is verbose and not analyst-ready. This actor normalizes it into one clean row per record so the data drops straight into BigQuery, a Google Sheet, or a pandas DataFrame.

๐Ÿ“Š Data fields

Each record includes: destination, direction, expected_arrival, id, imageUrl, line, lineId, platform, results, scrapedAt, station, time_to_station, vehicle_id. 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: all input is validated; trailing whitespace is trimmed before the request fires. Free accounts are capped at 10 items per run as a preview; upgrade for the full dataset.

๐Ÿš€ How to use

  1. Click Try for free.
  2. Pick your input filters (or leave defaults).
  3. Click Start. Within seconds your dataset is ready, download or pipe to your warehouse.
  4. (Optional) Schedule the actor to refresh automatically.
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๐Ÿ’ก Pro Tip: browse the complete ParseForge collection for 900+ production-grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records.

Disclaimer: This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site terms of service and applicable law. Create a free account w/ $5 credit.

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.

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