# πŸ“… Earnings Calendar & Dividend Dates β€” US, UK & Germany (`inexhaustible_glass/earnings-dividend-calendar`) Actor Know when every company reports earnings & pays dividends. USA full earnings/dividend/IPO/split calendar (Nasdaq) + UK (FTSE) & Germany (DAX) earnings dates, EPS estimates & dividends. For traders, investors, fintech & bots. Free, no key, no proxy. - **URL**: https://apify.com/inexhaustible\_glass/earnings-dividend-calendar.md - **Developed by:** [Hitman studio](https://apify.com/inexhaustible_glass) (community) - **Categories:** Business, News, Developer tools - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ## πŸ“… Global Earnings & Dividend Calendar β€” USA, UK & Germany > **When does every company report earnings & pay dividends?** The single feed traders, investors > and fintech apps check daily β€” now for the US, UK and German markets. No API key, no proxy. ### πŸ‘₯ Who needs this | You are a… | You get… | |---|---| | πŸ“ˆ **Trader / investor** | Upcoming earnings & dividend dates to time trades | | πŸ€– **Trading-bot / quant** | Clean event feed to drive strategies | | πŸ’» **Fintech / app builder** | Earnings & dividend calendar data, ready to use | | πŸ“° **Finance newsletter** | This week's earnings & dividends, done for you | ### ✨ What you get - πŸ‡ΊπŸ‡Έ **USA** β€” full **earnings / dividends / IPO / stock-split** calendar by date (Nasdaq) - πŸ‡¬πŸ‡§ **UK** β€” FTSE companies' next **earnings date, EPS estimate & dividend** - πŸ‡©πŸ‡ͺ **Germany** β€” DAX companies' next **earnings date, EPS estimate & dividend** - Per row: symbol, company, date, EPS estimate vs last year, dividend amount & yield, market cap ### πŸš€ How to use 1. Pick **countries** + (for US) which calendars + days ahead. 2. *(optional)* Add your own UK/DE tickers. 3. Start β†’ download CSV / Excel / JSON. #### Example input ```json { "countries": ["USA", "UK", "Germany"], "usDataTypes": ["earnings", "dividends"], "daysAhead": 7 } ```` ### πŸ“¦ Output `country`, `event_type`, `symbol`, `company`, `date`, `next_earnings_date`, `eps_estimate`, `eps_last_year`, `dividend_amount`, `dividend_yield`, `ex_dividend_date`, `market_cap`, `currency`, `source`. ### ℹ️ Notes - Source: Nasdaq public API (US) + Yahoo Finance (UK/DE). Public data, no key, no proxy. - UK/DE cover the major FTSE/DAX names by default; add custom tickers for more. *Keywords: earnings calendar, dividend calendar, stock earnings, upcoming earnings, earnings dates, dividend dates, stock market data, EPS estimates, analyst ratings, price target, PE ratio, stock data, FTSE, DAX, Nasdaq, IPO calendar, stock splits, financial data, fintech, investing API, trading data, earnings season, ex-dividend date, dividend yield, US UK Germany stocks.* # Actor input Schema ## `countries` (type: `array`): Which markets to pull. USA = full date-calendar; UK = FTSE stocks; Germany = DAX stocks. ## `usDataTypes` (type: `array`): Which US calendars to pull (Nasdaq). ## `daysAhead` (type: `integer`): How many days from today to pull the US calendar for. Example: 7 = next week. ## `tickers` (type: `array`): Override the default FTSE/DAX list with your own Yahoo tickers. Examples: SHEL.L, SAP.DE, BMW.DE. Leave empty to use the built-in FTSE/DAX list. ## `maxResults` (type: `integer`): Cap the total number of events returned. ## Actor input object example ```json { "countries": [ "USA", "UK", "Germany" ], "usDataTypes": [ "earnings", "dividends" ], "daysAhead": 7, "tickers": [ "SHEL.L", "SAP.DE" ], "maxResults": 1000 } ``` # 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 = { "countries": [ "USA", "UK", "Germany" ], "usDataTypes": [ "earnings", "dividends" ] }; // Run the Actor and wait for it to finish const run = await client.actor("inexhaustible_glass/earnings-dividend-calendar").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "countries": [ "USA", "UK", "Germany", ], "usDataTypes": [ "earnings", "dividends", ], } # Run the Actor and wait for it to finish run = client.actor("inexhaustible_glass/earnings-dividend-calendar").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "countries": [ "USA", "UK", "Germany" ], "usDataTypes": [ "earnings", "dividends" ] }' | apify call inexhaustible_glass/earnings-dividend-calendar --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=inexhaustible_glass/earnings-dividend-calendar", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "πŸ“… Earnings Calendar & Dividend Dates β€” US, UK & Germany", "description": "Know when every company reports earnings & pays dividends. USA full earnings/dividend/IPO/split calendar (Nasdaq) + UK (FTSE) & Germany (DAX) earnings dates, EPS estimates & dividends. For traders, investors, fintech & bots. Free, no key, no proxy.", "version": "1.0", "x-build-id": "0pDAI2n0xGtCsBmiL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/inexhaustible_glass~earnings-dividend-calendar/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-inexhaustible_glass-earnings-dividend-calendar", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/inexhaustible_glass~earnings-dividend-calendar/runs": { "post": { "operationId": "runs-sync-inexhaustible_glass-earnings-dividend-calendar", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/inexhaustible_glass~earnings-dividend-calendar/run-sync": { "post": { "operationId": "run-sync-inexhaustible_glass-earnings-dividend-calendar", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "countries": { "title": "🌍 Countries", "type": "array", "description": "Which markets to pull. USA = full date-calendar; UK = FTSE stocks; Germany = DAX stocks.", "items": { "type": "string", "enum": [ "USA", "UK", "Germany" ], "enumTitles": [ "πŸ‡ΊπŸ‡Έ USA (Nasdaq)", "πŸ‡¬πŸ‡§ UK (FTSE)", "πŸ‡©πŸ‡ͺ Germany (DAX)" ] }, "default": [ "USA" ] }, "usDataTypes": { "title": "πŸ‡ΊπŸ‡Έ US data types", "type": "array", "description": "Which US calendars to pull (Nasdaq).", "items": { "type": "string", "enum": [ "earnings", "dividends", "ipo", "splits" ], "enumTitles": [ "πŸ“Š Earnings", "πŸ’° Dividends", "πŸš€ IPOs", "βœ‚οΈ Stock splits" ] }, "default": [ "earnings", "dividends" ] }, "daysAhead": { "title": "πŸ“… Days ahead (US calendar)", "minimum": 1, "maximum": 90, "type": "integer", "description": "How many days from today to pull the US calendar for. Example: 7 = next week.", "default": 7 }, "tickers": { "title": "🎯 Custom tickers (UK/Germany, optional)", "type": "array", "description": "Override the default FTSE/DAX list with your own Yahoo tickers. Examples: SHEL.L, SAP.DE, BMW.DE. Leave empty to use the built-in FTSE/DAX list.", "items": { "type": "string" } }, "maxResults": { "title": "πŸ”’ Max results", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Cap the total number of events returned.", "default": 1000 } } }, "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 } } } } } } } } } } ```