An R interface to German government and public sector APIs listed on bund.dev. 33 ready-to-use adapters return tidy tibbles for immediate use in dplyr/ggplot2 workflows.
| Layer | What it does | Entry point |
|---|---|---|
| Registry | Browse and search all APIs on bund.dev | bunddev_list(), bunddev_info() |
| OpenAPI core | Explore specs and call any endpoint | bunddev_spec(), bunddev_call() |
| Adapters | Ready-made functions returning tidy tibbles | e.g. smard_timeseries(), autobahn_roadworks() |
Adapters include built-in response caching and rate limiting.
Install the released version from CRAN:
install.packages("bunddev")Or install the development version from GitHub:
remotes::install_github("mchlbckr/bunddev")library(bunddev)
# Energy market data
series <- smard_timeseries(410, region = "DE", resolution = "hour")
# Weather warnings
dwd_warnings()
# Current news
tagesschau_homepage()
# Company search
handelsregister_search("deutsche bahn")
# Water levels
pegel_online_stations()
# Parliamentary documents
dip_bundestag_drucksache_list()🏛️ Government & Parliament — bundestag, bundesrat, bundestag_lobbyregister, dip_bundestag, bundeshaushalt
🌤️ Environment & Weather — dwd, luftqualitaet, hochwasserzentralen, pegel_online, mudab, smard
📊 Statistics & Data — destatis, deutschlandatlas, regionalatlas, dashboard_deutschland
💼 Jobs & Education — jobsuche, ausbildungssuche, bewerberboerse
🚗 Transport & Infrastructure — autobahn, ladestationen, eco_visio
🚨 Safety & Alerts — nina, lebensmittelwarnung, travelwarning, pflanzenschutzmittelzulassung
🏥 Health — diga, hilfsmittel
📰 Culture & Media — tagesschau, ddb
🏢 Business — handelsregister, marktstammdaten
📅 Other — abfallnavi, feiertage
library(bunddev)
bunddev_list(tag = "energy")
#> # A tibble: 3 × 8
#> id title provider spec_url docs_url auth rate_limit tags
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <lis>
#> 1 ladestationen Ladesaeulen… Bundesn… https:/… https:/… none <NA> <chr>
#> 2 marktstammdaten Marktdatens… Bundesn… https:/… https:/… none <NA> <chr>
#> 3 smard SMARD API Bundesn… https:/… https:/… none Mehr als … <chr>feiertage_list(2025)
#> # A tibble: 190 × 5
#> region holiday date note date_time
#> <chr> <chr> <chr> <chr> <dttm>
#> 1 BW Neujahrstag 2025-01-01 "" 2025-01-01 00:00:00
#> 2 BW Heilige Drei Könige 2025-01-06 "" 2025-01-06 00:00:00
#> 3 BW Karfreitag 2025-04-18 "" 2025-04-18 00:00:00
#> 4 BW Ostermontag 2025-04-21 "" 2025-04-21 00:00:00
#> 5 BW Tag der Arbeit 2025-05-01 "" 2025-05-01 00:00:00
#> 6 BW Christi Himmelfahrt 2025-05-29 "" 2025-05-29 00:00:00
#> 7 BW Pfingstmontag 2025-06-09 "" 2025-06-09 00:00:00
#> 8 BW Fronleichnam 2025-06-19 "" 2025-06-19 00:00:00
#> 9 BW Tag der Deutschen Einheit 2025-10-03 "" 2025-10-03 00:00:00
#> 10 BW Reformationstag 2025-10-31 "Gemäß § 4 A… 2025-10-31 00:00:00
#> # ℹ 180 more rowsroads <- autobahn_roads()
roads
#> # A tibble: 110 × 1
#> road_id
#> <chr>
#> 1 A1
#> 2 A2
#> 3 A3
#> 4 A4
#> 5 A5
#> 6 A6
#> 7 A7
#> 8 A8
#> 9 A9
#> 10 A10
#> # ℹ 100 more rows
roadworks <- autobahn_roadworks(roads$road_id[[1]])
roadworks
#> # A tibble: 181 × 18
#> road_id identifier title subtitle display_type icon is_blocked future
#> <chr> <chr> <chr> <chr> <chr> <chr> <lgl> <lgl>
#> 1 A1 2026-002514--vi-… A1 |… " Saarb… ROADWORKS 123 FALSE FALSE
#> 2 A1 2026-004710--vi-… A1 |… " Trier… SHORT_TERM_… warn… FALSE FALSE
#> 3 A1 2024-004256--vi-… A1 |… " Saarb… ROADWORKS 123 FALSE FALSE
#> 4 A1 2024-004156--vi-… A1 |… " Saarb… ROADWORKS 123 FALSE FALSE
#> 5 A1 2024-038925--vi-… A1 |… " Saarb… ROADWORKS 123 FALSE FALSE
#> 6 A1 2024-004156--vi-… A1 |… " Saarb… ROADWORKS 123 FALSE FALSE
#> 7 A1 2024-038925--vi-… A1 |… " Saarb… SHORT_TERM_… warn… FALSE FALSE
#> 8 A1 2024-004156--vi-… A1 |… " Köln/… ROADWORKS 123 FALSE FALSE
#> 9 A1 2024-004156--vi-… A1 |… " Köln/… ROADWORKS 123 FALSE FALSE
#> 10 A1 2024-038925--vi-… A1 |… " Köln/… ROADWORKS 123 FALSE FALSE
#> # ℹ 171 more rows
#> # ℹ 10 more variables: start_timestamp <chr>, start_time <list>, point <chr>,
#> # extent <chr>, coordinate_lat <chr>, coordinate_long <chr>,
#> # description <chr>, footer <chr>, route_recommendation <list>,
#> # lorry_parking_feature_icons <list>library(ggplot2)
series <- smard_timeseries(410, region = "DE", resolution = "hour",
timestamp = 1627250400000)
series
#> # A tibble: 168 × 3
#> timestamp time value
#> <dbl> <dttm> <dbl>
#> 1 1627250400000 2021-07-26 00:00:00 42555
#> 2 1627254000000 2021-07-26 01:00:00 41226.
#> 3 1627257600000 2021-07-26 02:00:00 40234.
#> 4 1627261200000 2021-07-26 03:00:00 40087.
#> 5 1627264800000 2021-07-26 04:00:00 42084.
#> 6 1627268400000 2021-07-26 05:00:00 45420.
#> 7 1627272000000 2021-07-26 06:00:00 52580.
#> 8 1627275600000 2021-07-26 07:00:00 58492.
#> 9 1627279200000 2021-07-26 08:00:00 62314
#> 10 1627282800000 2021-07-26 09:00:00 63444
#> # ℹ 158 more rows
ggplot(series, aes(time, value)) +
geom_line() +
labs(x = "Time", y = "MW", title = "Electricity generation")
series$time is a POSIXct column parsed in Europe/Berlin.
library(bunddev)
# List recent documents
docs <- dip_bundestag_drucksache_list(params = list(
f.datum.start = "2025-01-01",
f.drucksachetyp = "Gesetzentwurf"
))
# Get details for a specific document
dip_bundestag_drucksache(284229)
# Full text (includes text column)
dip_bundestag_drucksache_text(284229)library(bunddev)
Sys.setenv(JOBBOERSE_API_KEY = "jobboerse-jobsuche")
bunddev_auth_set("jobsuche", type = "api_key", env_var = "JOBBOERSE_API_KEY")
jobs <- jobsuche_search(params = list(was = "data", size = 5), flatten = TRUE)bunddev_parameters("smard")
bunddev_parameter_values(smard_timeseries, "resolution")| Language | Package | Repository |
|---|---|---|
| Python | deutschland | bundesAPI/deutschland |
| Perl | WWW::Bund | Getty/p5-www-bund |
This package builds on the work of the bund.dev team and the bundesAPI community, who curate and document public sector APIs.