# Germany Car Registration Data & EV Monitor (`xtech/germany-car-registration-ev-monitor`) Actor Monitor German 𝗰𝗮𝗿 𝗿𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻𝘀 by brand, model series, and month. Get official KBA totals, BEV, hybrid, diesel, and commercial counts, plus MoM/YoY changes and EV share. Reuse a watchlist to receive only new or revised market signals. - **URL**: https://apify.com/xtech/germany-car-registration-ev-monitor.md - **Developed by:** [Xtech](https://apify.com/xtech) (community) - **Categories:** Automation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 market signals This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README Germany Car Registration Data & EV Monitor turns official monthly KBA vehicle-registration data into model-level German automotive market signals. Compare registrations, BEV share, fuel mix, commercial share, and monthly or annual demand changes by brand and model series. **Unofficial tool. Not affiliated with, endorsed by, or sponsored by the Kraftfahrt-Bundesamt.** ### Track German car registrations and EV market share Choose up to 10 car brands and optionally narrow the watchlist to exact model-series names. The Actor finds the latest published reporting month and returns between 1 and 12 recent months, with the earlier history needed to calculate comparisons. The first tracked run creates a baseline. Later runs can return only newly published or revised brand-model-month signals, keeping scheduled monitoring compact. Turn on unchanged signals when you need a complete current snapshot. ### KBA car registration input - **Brands:** Required KBA brand names such as `Tesla`, `VW`, `BMW`, or `MERCEDES`. - **Models:** Optional exact model-series names such as `MODEL Y` or `GOLF`. - **Months:** Include the latest 1 to 12 published months. - **Minimum registrations:** Exclude smaller model-month records. - **Maximum signals:** Save up to 500 records per run. - **Change tracking:** Reuse the same monitor and snapshot-store names for one watchlist. ```json { "brands": ["Tesla", "VW", "BMW"], "monthsBack": 6, "minRegistrations": 25, "maxSignals": 250, "monitorName": "Germany EV competitor watch", "trackChanges": true, "includeUnchanged": false } ```` ### German automotive market data Each result represents one brand, model series, and reporting month. Fields can include total registrations, segment, diesel, hybrid, plug-in hybrid, non-plug-in hybrid, BEV, and commercial registrations. Derived fields include BEV share, commercial share, and month-over-month and year-over-year registration changes. Use the data for competitor tracking, fleet and leasing research, EV adoption analysis, insurance planning, charging-market research, portfolio reviews, and recurring German vehicle-market dashboards. ### Pricing You pay for valid market-signal rows written to the dataset. Searches with no matching signals, source errors, and unchanged signals hidden by change-only mode do not create paid result rows. Check the current per-result price and set a run spending limit before requesting a broad watchlist. ### German car registration data FAQ **Are registrations the same as vehicle sales?** No. These are official new-registration counts. They are a useful demand signal but should not be described as retail sales. **Are MoM and YoY changes percentages?** No. They are absolute differences in registration counts. Share fields are ratios derived from published counts. **Why did a recurring run return no rows?** With change tracking on and unchanged signals off, a run can complete successfully without output when the selected data has not changed. Every row includes source links, retrieval time, attribution, and licence information. Derived values are calculations by this Actor; verify the linked source before material decisions. # Actor input Schema ## `brands` (type: `array`): Use the brand names as written in KBA data, for example Tesla, VW, BMW, or MERCEDES. Add at least one brand. ## `models` (type: `array`): Optional exact KBA model-series names, for example MODEL Y or GOLF. Leave empty to monitor all published model series for the selected brands. ## `monthsBack` (type: `integer`): How many of the latest available KBA reporting months to return. The monitor also reads earlier months when needed to calculate month-over-month and year-over-year change. ## `minRegistrations` (type: `integer`): Exclude small model-month rows below this registration count. Leave at 0 to retain every selected public row. ## `maxSignals` (type: `integer`): Maximum model-month rows to save, newest periods first. Start smaller when monitoring several brands. ## `monitorName` (type: `string`): A label repeated in every result. Keep it the same on recurring runs to compare the same market watchlist. ## `trackChanges` (type: `boolean`): Save a private baseline and label newly published or revised KBA model-month signals on later runs. ## `includeUnchanged` (type: `boolean`): Turn this on for a full current view. Leave it off for a lean change feed after the first run. ## `snapshotStoreName` (type: `string`): Use the same store for recurring runs of one watchlist. Use another name to keep market programmes separate. ## Actor input object example ```json { "brands": [ "Tesla" ], "monthsBack": 3, "minRegistrations": 0, "maxSignals": 100, "monitorName": "germany-car-registration-monitor", "trackChanges": true, "includeUnchanged": false, "snapshotStoreName": "germany-car-registration-snapshots" } ``` # Actor output Schema ## `marketSignals` (type: `string`): No description ## `runSummary` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "brands": [ "Tesla" ] }; // Run the Actor and wait for it to finish const run = await client.actor("xtech/germany-car-registration-ev-monitor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "brands": ["Tesla"] } # Run the Actor and wait for it to finish run = client.actor("xtech/germany-car-registration-ev-monitor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "brands": [ "Tesla" ] }' | apify call xtech/germany-car-registration-ev-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtech/germany-car-registration-ev-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Germany Car Registration Data & EV Monitor", "description": "Monitor German 𝗰𝗮𝗿 𝗿𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻𝘀 by brand, model series, and month. Get official KBA totals, BEV, hybrid, diesel, and commercial counts, plus MoM/YoY changes and EV share. Reuse a watchlist to receive only new or revised market signals.", "version": "0.1", "x-build-id": "PeaAojSWZDlhknLaE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtech~germany-car-registration-ev-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtech-germany-car-registration-ev-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtech~germany-car-registration-ev-monitor/runs": { "post": { "operationId": "runs-sync-xtech-germany-car-registration-ev-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtech~germany-car-registration-ev-monitor/run-sync": { "post": { "operationId": "run-sync-xtech-germany-car-registration-ev-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "brands" ], "properties": { "brands": { "title": "Car brands to monitor", "minItems": 1, "maxItems": 10, "uniqueItems": true, "type": "array", "description": "Use the brand names as written in KBA data, for example Tesla, VW, BMW, or MERCEDES. Add at least one brand.", "items": { "type": "string", "minLength": 1, "maxLength": 100 } }, "models": { "title": "Optional model-series filter", "maxItems": 30, "uniqueItems": true, "type": "array", "description": "Optional exact KBA model-series names, for example MODEL Y or GOLF. Leave empty to monitor all published model series for the selected brands.", "items": { "type": "string", "minLength": 1, "maxLength": 200 } }, "monthsBack": { "title": "Latest months to include", "minimum": 1, "maximum": 12, "type": "integer", "description": "How many of the latest available KBA reporting months to return. The monitor also reads earlier months when needed to calculate month-over-month and year-over-year change.", "default": 3 }, "minRegistrations": { "title": "Minimum monthly registrations", "minimum": 0, "maximum": 1000000, "type": "integer", "description": "Exclude small model-month rows below this registration count. Leave at 0 to retain every selected public row.", "default": 0 }, "maxSignals": { "title": "Maximum market signals", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum model-month rows to save, newest periods first. Start smaller when monitoring several brands.", "default": 100 }, "monitorName": { "title": "Monitor name", "minLength": 1, "maxLength": 100, "type": "string", "description": "A label repeated in every result. Keep it the same on recurring runs to compare the same market watchlist.", "default": "germany-car-registration-monitor" }, "trackChanges": { "title": "Track changes between runs", "type": "boolean", "description": "Save a private baseline and label newly published or revised KBA model-month signals on later runs.", "default": true }, "includeUnchanged": { "title": "Include unchanged market signals", "type": "boolean", "description": "Turn this on for a full current view. Leave it off for a lean change feed after the first run.", "default": false }, "snapshotStoreName": { "title": "Snapshot store name", "pattern": "^[A-Za-z0-9_-]+$", "minLength": 1, "maxLength": 100, "type": "string", "description": "Use the same store for recurring runs of one watchlist. Use another name to keep market programmes separate.", "default": "germany-car-registration-snapshots" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```