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TwitterTfL Live bus arrivals (released in October 2011), is the largest real-time bus arrival information system in the world. It allows customers to view live arrival information for the 19,000 bus stops in London via web, mobile web and SMS. This API gives registered developers access to a scalable feed of the same real-time data used by the online Live bus arrival service. Note: Using unsupported channels to source the data severely affects TFL's ability to support customers using the website during peak hours. It also contravenes the terms of use. TFL are unable to endorse or promote individual apps based on the feed, as part of this process. To register for the API, and for the terms and conditions, visit the TfL Developers’ Area. Some ideas Apps developers can add this data to their travel tools: The 'Bus stops near you' location services can be refined using device-optimised applications Use the data to develop apps for visually impaired passengers Allow passengers to view the predicted arrival times (for the next 30 minutes) for a chosen bus route Venue owners could include their bus stop code with their listing details, allowing customers to easily find nearby bus stops
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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🇬🇧 United Kingdom English TfL Live bus arrivals (released in October 2011), is the largest real-time bus arrival information system in the world. It allows customers to view live arrival information for the 19,000 bus stops in London via web, mobile web and SMS. This API gives registered developers access to a scalable feed of the same real-time data used by the online Live bus arrival service. Note: Using unsupported channels to source the data severely affects TFL's ability to support customers using the website during peak hours. It also contravenes the terms of use. TFL are unable to endorse or promote individual apps based on the feed, as part of this process. To register for the API, and for the terms and conditions, visit the TfL Developers’ Area. Some ideas Apps developers can add this data to their travel tools: - The 'Bus stops near you' location services can be refined using device-optimised applications - Use the data to develop apps for visually impaired passengers - Allow passengers to view the predicted arrival times (for the next 30 minutes) for a chosen bus route - Venue owners could include their bus stop code with their listing details, allowing customers to easily find nearby bus stops
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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TfL statement:
We've committed to making our open data freely available to third parties and to engaging developers to deliver new products, apps and services for our customers.
Over 11,000 developers have registered for our open data, consisting of our unified API (Application Programming Interface) that powers over 600 travel apps in the UK with over 46% of Londoners using apps powered by our data.
This enables millions of journeys in London each day, giving customers the right information at the right time through their channel of choice.
Data is presented in three main ways:
Data is presented as XML wherever possible.
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TwitterTfL's Journey Planner allows customers to plan public transport, walking and cycling journeys in and around London.
The API allows developers to incorporate Journey Planner requests and solutions within their applications.
It allows a high level of control over all the main options within the Journey Planner.
Note that this service is currently in Beta.
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TwitterAttribution-ShareAlike 3.0 (CC BY-SA 3.0)https://creativecommons.org/licenses/by-sa/3.0/
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Data collected form the London's TfL API. The API is queried approximately every 15 minutes and the result is stored in the file for that day.
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TwitterThis TfL feed contains the name, location, co-ordinates and maximum number of docking points for all operational Santander Cycle Hire docking stations. It also contains the number of available bikes (excluding locked or faulty bikes), and number of available docking points. Documentation is available from the TfL Unified API
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TwitterTfl Thailand Co Limited Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterThis TfL feed contains the name, location, co-ordinates and maximum number of docking points for all operational Santander Cycle Hire docking stations. It also contains the number of available bikes (excluding locked or faulty bikes), and number of available docking points. Documentation is available from the TfL Unified API
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TwitterTfl Ledertechnik Gmbh Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterT F L Argentina Sa Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterTrain prediction and London Underground station and line status.
This data feed provide four services:
Train prediction information for an entire line or for a nominated station on a line for a given time range.
Detailed train prediction information for a nominated station for a given time range
The status of all stations on the network indicating station closures, faulty lifts etc.
This service will return the status of all lines on the network indicating any delays, disruptions or suspensions on the lines.
Please note that this replaces the API Beta page that was previously available on the Datastore.
Find out more about the feeds available from Transport for London https://www.tfl.gov.uk/info-for/open-data-users/our-feeds">here
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TwitterTfl Ledertechnik Gmbh Rheinfelden N Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterTfl France Huningue Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterTfl Mexicana Sa De Cv Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterTfl Do Brasil Ind Quim Ltda Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterTfl Do Brasil Industria Quimica Ltda Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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Twitterhttp://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
Ráiteas TfL:
Táimid tiomanta ár gcuid sonraí oscailte a chur ar fáil saor in aisce do thríú páirtithe agus d'fhorbróirí a spreagadh chun táirgí, aipeanna agus seirbhísí nua a sheachadadh dár gcustaiméirí. Chláraigh níos mó ná 11,000 forbróir dár sonraí oscailte, arb éard atá ann ár API aontaithe (Comhéadan Clárúcháin Iarratais) a chumhachtaíonn níos mó ná 600 aip taistil sa Ríocht Aontaithe le níos mó ná 46% de Londain ag úsáid aipeanna atá faoi thiomáint ag ár sonraí. Cuireann sé seo ar chumas na milliúin turas i Londain gach lá, ag tabhairt na faisnéise ceart do chustaiméirí ag an am ceart trína rogha cainéal.Cuirtear sonraí i láthair ar thrí phríomhbhealach:
Cuirtear sonraí i láthair mar XML nuair is féidir.
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TwitterTfl Changzhou Co Limited Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterTfl Italia Spa Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterTfl Do Brasil Industrial Quimica Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterTfL Live bus arrivals (released in October 2011), is the largest real-time bus arrival information system in the world. It allows customers to view live arrival information for the 19,000 bus stops in London via web, mobile web and SMS. This API gives registered developers access to a scalable feed of the same real-time data used by the online Live bus arrival service. Note: Using unsupported channels to source the data severely affects TFL's ability to support customers using the website during peak hours. It also contravenes the terms of use. TFL are unable to endorse or promote individual apps based on the feed, as part of this process. To register for the API, and for the terms and conditions, visit the TfL Developers’ Area. Some ideas Apps developers can add this data to their travel tools: The 'Bus stops near you' location services can be refined using device-optimised applications Use the data to develop apps for visually impaired passengers Allow passengers to view the predicted arrival times (for the next 30 minutes) for a chosen bus route Venue owners could include their bus stop code with their listing details, allowing customers to easily find nearby bus stops