# Germany Xetra Stock Quotes: DAX Prices & Performance (`mrdoe/germany-xetra-stock-quotes`) Actor Xetra stock quotes from public Deutsche Börse data: price, change, day and 52-week range, 1 month to 3 year performance, volume and turnover for DAX and other German stocks by ticker or any ISIN. - **URL**: https://apify.com/mrdoe/germany-xetra-stock-quotes.md - **Developed by:** [MrDoe](https://apify.com/mrdoe) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.90 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ![Germany Xetra Stock Quotes: DAX Prices & Performance - Xetra German stock quotes API with DAX prices and 1 month to 3 year performance](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/germany-xetra-stock-quotes--hero.png) ### What does Germany Xetra Stock Quotes: DAX Prices & Performance do? Germany Xetra Stock Quotes returns one row per stock traded on Xetra, from public Deutsche Börse market data. Each row has the last price in euro, change and percent change, previous close, open, day range, volume and turnover when available, the 52-week range and where the price sits in it, and the price performance over 1 month, 3 months, 6 months, 1 year and 3 years with the 1-year high and low. It knows about 50 major German tickers such as SAP, SIE, ALV and BMW, and accepts any 12-character ISIN, which also works for many international shares that trade on Xetra. ### Why use Germany Xetra Stock Quotes: DAX Prices & Performance? - Momentum features built in: performance from 1 month to 3 years and range position. - DAX constituents by ticker and any Xetra security by ISIN. - Reads the official exchange data, in euro. - Slow or missing fields never stop a run: the core price and performance still return. - No API key or login, bulk tickers per run, billed only for rows returned. ### What makes this different German stock data is scattered across broker pages and paid feeds, and the exchange identifies shares by ISIN rather than ticker. This Actor maps common tickers for you, accepts ISINs, and returns price plus multi-horizon performance in one tidy row. ### Who can use the Germany Xetra Stock Quotes and how? - **Quant researchers:** add German momentum features to models. - **Retail investors:** screen DAX stocks by range position and performance. - **Newsletter writers:** publish a daily DAX table. - **Fintech apps:** show German quotes without a data contract. - **Advisers:** track client holdings in euro. - **AI agent builders:** let an assistant answer what a DAX stock trades at. - **Analysts:** compare performance across horizons. - **Students:** free German market data for coursework. ### How it works ![Germany Xetra Stock Quotes: DAX Prices & Performance workflow: your input, collection, output](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/germany-xetra-stock-quotes--how-it-works.png) 1. **Your input** — list the tickers (or ISINs). 2. **The Actor collects it** — the Actor reads Deutsche Börse public market data for each one. 3. **Your output** — you get one row per stock with price, change, range position and fundamentals. ### What data can you extract? The dataset has 34 fields per row: | Field | Type | Description | | ------------------------ | ------ | ----------------------------------------------------------------------------- | | `record_type` | string | quote or bar. | | `ticker` | string | Ticker symbol. | | `isin` | string | ISIN. | | `name` | string | Company or fund name. | | `exchange` | string | Exchange. | | `currency` | string | Trading currency. | | `price` | number | Last price. | | `change` | number | Change from the previous close. | | `change_pct` | number | Change from the previous close, percent. | | `previous_close` | number | Previous close. | | `open` | number | Open. | | `day_low` | number | Day low. | | `day_high` | number | Day high. | | `volume` | number | Volume in shares. | | `turnover_eur` | number | Turnover in euro. | | `week52_low` | number | 52-week low. | | `week52_high` | number | 52-week high. | | `range_position_52w_pct` | number | Where the price sits in its 52-week range, 0 = at the low, 100 = at the high. | | `performance_1m_pct` | number | 1-month performance, percent. | | `performance_3m_pct` | number | 3-month performance, percent. | | `performance_6m_pct` | number | 6-month performance, percent. | | `performance_1y_pct` | number | 1-year performance, percent. | | `performance_3y_pct` | number | 3-year performance, percent. | | `high_1y` | number | 1-year high. | | `low_1y` | number | 1-year low. | | `bid` | number | Best bid. | | `ask` | number | Best ask. | | `trading_status` | string | Trading status. | | `last_trade_time` | string | Time of the last trade. | | `as_of` | string | When the data was read. | | `fetch_path` | string | How the data was obtained. | | `source` | string | Data source. | | `scraped_at` | string | Timestamp. | | `actor_version` | string | Actor version. | ### How to use Germany Xetra Stock Quotes: DAX Prices & Performance ![Germany Xetra Stock Quotes: DAX Prices & Performance input form](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/germany-xetra-stock-quotes--input.png) 1. Open the Actor and go to the **Input** tab. 2. Enter **Tickers** (for example `SAP`, `SIE`, `ALV`, `BMW`) or 12-character ISINs and run. Schedule it after the close to store your own history. 3. Optionally set filters and a **Max results** limit. 4. Click **Start**. A default run finishes in under a minute. 5. Open the **Output** tab, then download the dataset or connect it to your tools. ### Input Parameters | Parameter | Type | Required | Default | Description | | -------------------- | ------- | -------- | ------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `tickers` | array | No | `["SAP","SIE","ALV"]` | German tickers such as SAP, SIE, ALV, BMW, or any 12-character ISIN, one per line. | | `mode` | string | No | `"quotes"` | quotes returns one row per stock. history returns about the last month of daily bars per stock (ticker only, not ISIN), read from a public secondary source (not Deutsche Börse's own chart feed, which needs a market-data access token this Actor does not have). | | `maxItems` | integer | No | `0` | Cap on returned rows. Set 0 for no limit. | | `proxyConfiguration` | object | No | `{"useApifyProxy":false}` | Optional proxy. The data works without one. | ### Output Data ![Germany Xetra Stock Quotes: DAX Prices & Performance dataset table](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/germany-xetra-stock-quotes--output.png) `price`, `change_pct`, `previous_close`, `open`, `day_low`, `day_high`, `volume` and `turnover_eur` describe trading (volume and day range can be empty when the exchange's detailed feed is slow). `week52_low`, `week52_high` and `range_position_52w_pct` show the range. `performance_1m_pct`, `performance_3m_pct`, `performance_6m_pct`, `performance_1y_pct` and `performance_3y_pct` are price changes over those horizons, with `high_1y` and `low_1y`. History rows (`record_type: "bar"`) have `date`, `open`, `high`, `low`, `close` and `volume` for about the last month of trading days. ![Germany Xetra Stock Quotes: DAX Prices & Performance field map of one record](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/germany-xetra-stock-quotes--fields.png) A real dataset item: ```json { "record_type": "bar", "ticker": "ADS", "isin": "DE000A1EWWW0", "date": "2026-09-25", "open": 143.9, "close": 146.5, "high": 146.5, "low": 143.9, "volume": 439249, "as_of": "2026-09-27T09:08:39.733Z", "fetch_path": "deutsche_boerse_public_api", "source": "deutsche_boerse_public_market_data", "scraped_at": "2026-09-27T09:08:39.733Z", "actor_version": "1.0.0" } ``` ### How to read and use the results 1. **Read price and change\_pct**. 2. **Use range\_position\_52w\_pct** for where the price sits in its year. 3. **Compare performance\_3m\_pct and performance\_1y\_pct** for momentum. 4. **Pass ISINs** for shares not in the built-in list. 5. **Schedule runs** to build history. 6. **Watch the log** for unknown tickers. ### Usage Examples #### DAX heavyweights ```json { "tickers": ["SAP", "SIE", "ALV", "BMW", "MBG", "DTE"] } ``` #### By ISIN ```json { "tickers": ["DE0007164600", "NL0000235190"] } ``` #### Consumer and e-commerce ```json { "tickers": ["ADS", "PUM", "ZAL", "HFG"] } ``` ### Tips for Best Results - Schedule the Actor after the close and keep each run to build your own price history. - range\_position\_52w\_pct is 0 at the 52-week low and 100 at the high, a quick momentum and mean-reversion feature. - Keep tickers in one run: many tickers per run cost less than many runs. - Use performance\_3m\_pct against performance\_1y\_pct for momentum versus long-run trend. - Unknown tickers can be passed as ISINs. - Default is 5 results for a fast test. Set the max to 0 to return everything available. ### Reliability by mode | Mode | Status | Needs login or key? | Notes | | ----------------------------------- | ------ | ------------------- | ---------------------------------------------------------------------------------------------- | | Price, change, performance | ✅ | No | Public Deutsche Börse data. | | Volume, day range, turnover | 🟡 | No | Empty when the detailed feed is slow. | | Daily price history (about 1 month) | 🟡 | No | From a public secondary source (Google Finance's own chart data), not the exchange's own feed. | | Real-time tick data | ❌ | - | End-of-day and delayed snapshots. | ✅ works as described, 🟡 works with caveats, ❌ not supported. ### Known Limitations - This Actor returns quotes only; daily history is not available from the public data it reads. - Prices are delayed or end-of-day snapshots, not real-time ticks. - Volume, day range and turnover can be empty when the exchange's detailed price feed is slow; price and performance still return. - Only securities traded on Xetra are covered. - This is information, not financial advice. - Daily bars are read from Google Finance's own embedded chart data, a secondary source; treat the most recent day's close as provisional and prefer the quote row for the current price. ### Integrations Run it from the Apify API, on a schedule, or from a webhook. Send results straight to Google Sheets, Make, Zapier, Slack or your own database with Apify's built-in integrations. ### Export Formats Download the dataset as JSON, CSV, Excel, XML, HTML table or RSS from the **Output** tab or the API. ### Frequently Asked Questions #### Where does the data come from? Public Deutsche Börse market data for securities traded on Xetra. #### Does it need an API key or account? No. #### Can I get daily price history? Yes, switch Mode to history for about the last month of daily bars, read from a public secondary source since the exchange's own chart feed needs an access token this Actor does not have. #### How fresh are the prices? Snapshots of the last trade; outside trading hours it is the last session. #### What if a ticker is wrong? It is skipped and named in the log; the other tickers still return. #### Can I run it on a schedule? Yes. Schedule it and store each run to build your own price history. #### Am I charged for tickers that return nothing? No, only for rows returned. #### Do I need an account or login? No. The Actor reads public Deutsche Börse market data and needs no account or API key. #### Am I charged for failed runs or empty results? You are only charged for results that are actually written to the dataset. #### Can I run it on a schedule? Yes. Create a Task with your input and add a schedule in Apify Console. With monitor mode on, each scheduled run returns only what changed since the previous one. ### Changelog - **2026-09-27:** First release. ### Enterprise and custom work Need higher volumes, a custom output schema, dedicated scheduling or a no-breaking-changes commitment for a production pipeline? Open an issue on the Actor page and describe your use case. Bulk terms and custom builds are available. ### Support Questions or a missing field? Open an issue from the **Issues** tab on this Actor's page and it will be looked at. ### Legal / Responsible Use This Actor reads publicly available Deutsche Börse market data. You are responsible for how you use it and for complying with the source's terms. It is not financial advice and not affiliated with Deutsche Börse. # Actor input Schema ## `tickers` (type: `array`): German tickers such as SAP, SIE, ALV, BMW, or any 12-character ISIN, one per line. ## `mode` (type: `string`): quotes returns one row per stock. history returns about the last month of daily bars per stock (ticker only, not ISIN), read from a public secondary source (not Deutsche Börse's own chart feed, which needs a market-data access token this Actor does not have). ## `maxItems` (type: `integer`): Cap on returned rows. Set 0 for no limit. ## `proxyConfiguration` (type: `object`): Optional proxy. The data works without one. ## Actor input object example ```json { "tickers": [ "SAP", "SIE", "ALV" ], "mode": "quotes", "maxItems": 0, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (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 = { "tickers": [ "SAP", "SIE", "ALV" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("mrdoe/germany-xetra-stock-quotes").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 = { "tickers": [ "SAP", "SIE", "ALV", ], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("mrdoe/germany-xetra-stock-quotes").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "tickers": [ "SAP", "SIE", "ALV" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call mrdoe/germany-xetra-stock-quotes --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,mrdoe/germany-xetra-stock-quotes" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/MtvwUPwrOnfZbr5Mz/builds/7dyACiF0rpt4gQshZ/openapi.json