I talked to energinet, as we need an OAuth2 solution. It seems to be planned for Q3 2019 unfortunately. Upvote this issue if you believe it's important.

True energy has an API but it's not yet complete yet (it lacks vehicle charging history). I've been told it will be opened up.
https://trueenergyaps.github.io/api/

WHY
36% of all passengers at CPH were on a SAS flight. I imagine this is even higher for business segment due to miles.

HOW
https://www.flysas.com/en/managemybooking for web
https://itunes.apple.com/dk/app/sas-scandinavian-airlines/id605727126?mt=8 for iOS
https://play.google.com/store/apps/details?id=se.sas.android&hl=en for Android

PM me if you need login details

WHY
5.4% of all passengers at CPH were on a Easyjet flight.

HOW
https://www.easyjet.com/mylogin/en-GB/LogOn?ReturnUrl=%2fmylogin%2fen-GB%3fwa%3dwsignin1.0%26wtrealm%3durn%253a%252fmanagebookings%26wctx%3drm%253d0%2526id%253dpassive%2526ru%253d%25252fmanagebookings%25252fen-GB%26wct%3d2019-06-05T06%253a11%253a07Z%26wauth%3durn%253aeasyjet.com%253amember for web
https://www.easyjet.com/en/mobile-app for links to iOS and Android

PM me if you need login details

Live data only

Unfortunately we can only get live data. We need to setup a proxy that scrapes data.
Useful library: https://github.com/hjespers/teslams

Auth

http://docs.timdorr.apiary.io/#reference/authentication/tokens/get-an-access-token
Requires getting a username / password from the user and passing it through the https://owner-api.teslamotors.com/oauth/token endpoint. Uses OAuth.

Charge state

http://docs.timdorr.apiary.io/#reference/vehicles/state-and-settings/charge-state
https://owner-api.teslamotors.com/api/1/vehicles/vehicle_id/data_request/charge_state
Look for the charge_power key

{
  "response": {
    "charging_state": "Complete",  // "Charging", ??
    "charge_to_max_range": false,  // current std/max-range setting
    "max_range_charge_counter": 0,
    "fast_charger_present": false, // connected to Supercharger?
    "battery_range": 239.02,       // rated miles
    "est_battery_range": 155.79,   // range estimated from recent driving
    "ideal_battery_range": 275.09, // ideal miles
    "battery_level": 91,           // integer charge percentage
    "battery_current": -0.6,       // current flowing into battery
    "charge_starting_range": null,
    "charge_starting_soc": null,
    "charger_voltage": 0,          // only has value while charging
    "charger_pilot_current": 40,   // max current allowed by charger & adapter
    "charger_actual_current": 0,   // current actually being drawn
    "charger_power": 0,            // kW (rounded down) of charger
    "time_to_full_charge": null,   // valid only while charging
    "charge_rate": -1.0,           // float mi/hr charging or -1 if not charging
    "charge_port_door_open": true
  }
}

See https://developer.airfranceklm.com/docs/read/all_other_apis/customer_api

WHY
6.6% of all passengers at CPH were on a Ryanair flight.

HOW
https://www.ryanair.com/gb/en/manage-my-booking for web
https://www.ryanair.com/gb/en/plan-trip/flying-with-us/our-app for links to iOS and Android

PM me if you need login details

• Add factor for petrol/diesel
• Take into account number of passengers

Relevant file: https://github.com/tmrowco/tmrowapp-contrib/blob/master/co2eq/transportation.js

based on https://dev.netatmo.com/resources/technical/reference/energy -->
Add Gaz + electricity used by boiler

Netamo energy app provides room temperature + ratio of boiler usage / hour.
Not sure if an endpoint provides historical data or if it would need to be polled every couple of minutes.

All services, apps and devices we use are using a lot of energy. Whether the evening entertainment (device consumption + service consumption), the job (devices, e-mails), utility services like cloud storage and other services, all these have a carbon footprint.

Amongst others, Greenpeace published a study on the tech industry and their energy sources. Each service consumes, but depending on which energy source is powering the data centers (Netflix still using 30% of coal and 24% of gas), the impact can be high.

The individual carbon footprint of daily usage may be hard to compute to add into the app. Some research may be needed to look for studies etc.

See https://developer.tibber.com/

based on https://www.bigpaua.com/arcapp that is basically a moves alternative (killed by facebook).
Privacy proof alternative to google timeline .

WHY
17% of all passengers at CPH were on a Norwegian flight. Given the prices on long-haul to the US, I imagine they would be one of the most obvious sinners CO2 wise

HOW
https://www.norwegian.com/uk/my-travels/#/lookup for web
https://www.norwegian.com/en/travel-info/check-in-and-boarding/travel-assistant-app/ for links to iOS and Android

PM me if you need login details

WHY
670 gas stations in Denmark. Coupled with your car type, understanding your gas purchases can then be translated to emissions
HOW
https://www.ok.dk/min-ok-forside/login?r=%2fmin-ok-forside#/email

WHY
260 Circle K gas stations and 60 1-2-3 gas stations. 20% of Denmark gas usage. Coupled with car type, emissions could be calculated

HOW
https://www.circlek.dk/dk_DK/pg1334072984722/privat/voresbutikker/PrivatKort/MitCircleK.html

We already have a Linky integration which is unfortunately quite buggy.
Also it doesn't support fetching hourly values.
There's an official API here: https://datahub-enedis.fr/data-connect/parcours-client/
It allows to get half-hourly values.
More info here: https://datahub-enedis.fr/data-connect/documentation/metering-data/

Add the option to add a daily commute which is X times a day (select to choose the numbers of days) with a certain type of transport.

This gives a better UX to the user to avoid him entering recurring activities every day.

JSON API is available:
https://github.com/joshperry/carwings/blob/master/protocol.markdown
Seems like we can query trips by month here:
https://gitlab.com/tobiaswkjeldsen/dartcarwings/blob/master/lib/src/carwings_vehicle.dart#L232
and format the data like here:
https://gitlab.com/tobiaswkjeldsen/dartcarwings/blob/master/lib/src/carwings_stats_trips.dart#L6

However we need access to charging times (not trips)

Good idea is to start from the renault-zoe source:
https://github.com/tmrowco/greenbit-contrib/blob/master/electricity/renault-zoe.js

We could translate the tmrow.com/climatechange page in multiple languages.
To Do's:

• expose the content to a public repository
• create simple system for translation

https://www.skanetrafiken.se/

Config: Android on Samsung S7
TomorrowApp v1.1.37

The Nest app provides a history of heating (in hours)
https://nest.com/support/article/How-to-read-my-Energy-History-on-the-Nest-Learning-Thermostat#energy-history-icons

The Nest api provides an hvac state (heating...) see https://developers.nest.com/documentation/api-reference, but no access to history to my knowledge.

Also see this thread on SO: https://stackoverflow.com/questions/24411859/does-the-nest-api-provide-a-way-to-get-historical-energy-usage

https://www.bcdtravel.com/tripsource/

Sense is a device and service that measures your residential electricity usage at high resolution, both real time and historical (short term). It distinguishes most individual devices, when they turn on and off, and how much energy they use.

Sense doesn't have an official API, but there's a good unofficial API and language bindings, with the company's blessing.

https://jsonrpc.getbarry.dk/json-rpc/co/getbarry/megatron/controller/ConsumptionController

For people with accounts: https://contactless.tfl.gov.uk/

Oyster card data appears be accessible going back only 2 months. In June 2018 I exported a CSV and it looked like the following - but I can't give you links to scrape, or test anymore - people who use Oyster cards might be able to help!

Date,Start Time,End Time,Journey/Action,Charge,Credit,Balance,Note
06-Jun-2018,12:03,12:38,"London Bridge [National Rail] to Gatwick Airport",8.30,,0.75,""
06-Jun-2018,12:02,,"Topped up,  ",,5.00,9.05,""

Contactless data flow looks like:

• https://contactless.tfl.gov.uk/MyCards lists cards in HTML source, with a GUID
• Journey history HTML is https://contactless.tfl.gov.uk/NewStatements/Journey?Period=10%7C2018&CardDisplayId=[guid] for October 2018. I am able to access my history for the past year, and it is showing my trips from June. The page has a drop-down with available time periods, but it seems to just be all last 12 months - currently goes back to November 2017 for me even though I had no trips during that time.
• CSV format link: https://contactless.tfl.gov.uk/NewStatements/DownloadJourneyCsv?Period=6%7C2018&CardDisplayId=[guid] for June 2018
• output is like:

Date,Time,Journey,Charge (GBP),Capped,Notes
04/06/2018,14:12,"Bus Journey, Route 29",-1.50,N,
04/06/2018,21:29,"Bus Journey, Route 10",-1.50,N,
05/06/2018,19:34 - 19:52,Oxford Circus to Kentish Town,-2.40,N,
05/06/2018,21:32,"Bus Journey, Route 214",-1.50,N,
06/06/2018,09:32,"Bus Journey, Route 214",-1.50,N,

Some internal data dictionaries and parsing would be needed to order trips by mode and distance, but seems doable, at least to a first approximation. Rail journeys require tapping-out so start and end are available. Bus journeys are tap-on only.

• present results in html list
• code edit area

https://github.com/securingsincity/react-ace

Ride history is available here:
https://developer.lyft.com/v1/reference#users-ride-history

Add an option to add a diet plan. This is similar to issue #27 to improve the user's UX on the app. The user can then add meals manually when things fall off his dietary plan (eating more meat than usual, etc).

Options like Organic, Meat X times a week, Fish X times a week, vegetarian, vegan, No dairy/lactose, No gluten

Based on https://play.google.com/store/apps/details?id=com.legrand.homecontrol&hl=en

API: https://portal.developer.legrand.com/docs/services/59e9ad7f8bda9e0b3caea28c/operations/GetEnergyMeterStatus
Auth: https://developer.legrand.com/tutorials/getting-started/

No live api apparently.
Carwings is the telematics system installed in the Leaf.

Forum might be interesting:
http://www.mynissanleaf.com/viewforum.php?f=31

Libraries

Python

https://github.com/jdhorne/pycarwings2
Can't find the charging power. Some more info here: https://github.com/jdhorne/pycarwings2/blob/master/pycarwings2/responses.py#L506

The API is a bit of a mess - for instance it reports battery in blobs (out of 12) and percent, but the percentage value it returns is simply the number of blobs converted to percent - it only moves in (approx) 8.3% steps. It also reports the capacity remaining in 4 (iirc) different places.

Node

Seems old: https://github.com/crtr0/carwingsjs

Formerly WorldMate.
https://www.carlsonwagonlit.com/travel-management/keeping-moving/travel-booking-services/
They parse emails and get reservations inside their app. Only for big customers.
https://www.carlsonwagonlit.com/travel-technology/mycwt/

DB provides start and endpoint of travel. We'd have to compute the duration or distance ourselves.

An api is available here:
https://developer.octopus.energy/docs/api/

Links:

• https://myaccount.google.com/purchases?pli=1
• https://support.google.com/accounts/answer/7673989?co=GENIE.Platform%3DAndroid&hl=en

WHY
Ørsted is the biggest electricity provider in Denmark, with over 1mm customers in Denmark

HOW
You can access usage data on the web , iOS, Android

For login information, please PM me if you intend to develop the integration

In my experience, few abstractions survive contact with real-world data 😄 So here is some sample data from Canada that you might find useful, even if you don't implement it.

Presto is a fare card that can be used in much of Ontario, Canada. Total potentially covered daily ridership is around ~1.7M Toronto + 340k Ottawa + ~150k Mississauga + ~100k Brampton + ~80k York Region = on the order of 2.5 million trips daily. Currently few of them are done with Presto, but it's supposed to be increasing, and I think all of them are now possible with Presto.

We can get a CSV export. Some points about the data:

• we get time of tap, transit agency operating the vehicle or station tapped, location of the tap, and fare amount paid
• tap-outs are not required on much of the network
• Toronto (the biggest ridership area) has many tap-less transfers that allows riders to switch from e.g. subway to bus without passing a fare gate and thus generating data history
• there's usual wonkiness like location of tap being wrong or null

Given the data, here’s what seems possible to me:

• Calculating the minimum number of trips taken (only counting trips that had a fare charged)
• Calculating the minimum number of trips involving the subway (only counting entering subways without tap-less transfers - these are mostly downtown Toronto)
• Estimating, with fairly high probability, a least one of modes of transport (bus, streetcar, subway, train) involved in a trip
• Estimating, with better than chance probability but not close to perfect, the number of logical “trips” taken and some of the modes involved

I've posted some commented CSV samples at https://piorkowski.ca/rev/2018/12/transit-usage-from-presto/

And if you're interested, I'll be glad to help.

https://appintheair.docs.apiary.io/#reference/0/my-trips/list-trips

One could hack its way through here:
https://github.com/edent/BMW-i-Remote/#authorisation

Unfortunately it requires decompiling the Android app to get the app token / secret. Not super recommended..

See https://www.lidl.dk/da/lidlplus.htm