# Simply Wall Street Tickers Mapping (`saswave/simply-wall-street-tickers-mapping`) Actor High-utility data normalization tool designed to bridge the gap between fragmented financial identifiers and Simply Wall Streetโ€™s unique data ecosystem. Universal translator for over 120,000 global stocks, converting standard market tickers, ISINs, and exchange codes to structured metadata - **URL**: https://apify.com/saswave/simply-wall-street-tickers-mapping.md - **Developed by:** [SASWAVE](https://apify.com/saswave) (community) - **Categories:** Automation, News, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ### Simply Wall Street Tickers Mapping The Simply Wall Street Tickers Mapping Scraper is a high-utility data normalization tool designed to bridge the gap between fragmented financial identifiers and Simply Wall Streetโ€™s unique data ecosystem. It acts as a universal translator for over 120,000 global stocks, converting standard market tickers, ISINs, and exchange codes into structured metadata and canonical URLs. ### FEATURES Universal Alias Resolver: Map messy or fragmented tickers (e.g., NASDAQ:GOOGL, GOOGL.O, XNAS:GOOGL) to a single, verified Unique Symbol. ISIN-to-Ticker Mapping: Use international securities identifiers (ISIN) to retrieve corresponding company profiles and exchange-specific symbols. Exchange Country Iso Localization: Determine the primary trading country and exchange for any given equity instantly. Holding Popularity Insights: Extract the userHoldingsCount to gauge community ownership and interest levels on the platform. Canonical URL Discovery: Automatically generate the direct link to the Simply Wall Street "Snowflake" report for any matched ticker. Logo & Asset Integration: Retrieve direct logoUrl paths for UI/UX integration in financial dashboards. Market Cap Normalization: Access marketCapUsd for instant size-based filtering across different currencies and markets. ### USE CASES Portfolio Data Cleaning: Cleanse and normalize transaction history from various brokers into a unified format for bulk analysis. Cross-Platform Integration: Link third-party financial news or trading apps directly to Simply Wall Street reports using the canonical url. Institutional Security Search: Use isinSymbol lookups to verify company details and primary exchange listings for compliance or research. Popularity Benchmarking: Use userHoldingsCount as a social sentiment proxy to identify "crowded" vs. "undiscovered" stocks. Global Market Expansion: Quickly identify which local exchange and "Unique Symbol" a company trades under when expanding research into international markets. ### OUTPUT ```json { "shortDescription": "Offers various products and platforms in the United States, Europe, the Middle East, Africa, the Asia-Pacific, Canada, and Latin America.", "userHoldingsCount": 61363, "type": "company", "logoUrl": "/api/company/image/SET:GOOG23/logo", "isinSymbol": "US02079K3059", "objectID": "C78A5A43-0234-4436-88BA-98DC268A5FF2", "market": "United States of America", "exchangeCountryIso": "US", "isFund": false, "hasLogo": true, "aliases": [ "XNAS:GOOGL", "NASDAQ:GOOGL", "NDQ:GOOGL", "GOOGL.O", "GOOGL.OQ", "GOOGL.Q", "GOOGL:US" ], "name": "Alphabet", "url": "/stocks/us/media/nasdaq-googl/alphabet", "isGridVisible": true, "tag": null, "website": "abc.xyz", "uniqueSymbol": "NasdaqGS:GOOGL", "industry": "Interactive Media and Services", "marketCapUsd": 3570805910000.0, "isPrimary": true, "isSearchable": true, "input_query": "GOOGL" } ```` ### ๐Ÿ›Ÿ SUPPORT Share your runs with the developer team and create issues on error to help us improve actor quality. You might discover edge case we didn't test yet We stay available anytime # Actor input Schema ## `queries` (type: `array`): List of stock tickers to get matching id from the platform, first 5 suggestions, usually the first is the one you are looking for ## Actor input object example ```json { "queries": [ "GOOGL" ] } ``` # 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 = { "queries": [ "GOOGL" ] }; // Run the Actor and wait for it to finish const run = await client.actor("saswave/simply-wall-street-tickers-mapping").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "queries": ["GOOGL"] } # Run the Actor and wait for it to finish run = client.actor("saswave/simply-wall-street-tickers-mapping").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "queries": [ "GOOGL" ] }' | apify call saswave/simply-wall-street-tickers-mapping --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=saswave/simply-wall-street-tickers-mapping", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Simply Wall Street Tickers Mapping", "description": "High-utility data normalization tool designed to bridge the gap between fragmented financial identifiers and Simply Wall Streetโ€™s unique data ecosystem. Universal translator for over 120,000 global stocks, converting standard market tickers, ISINs, and exchange codes to structured metadata", "version": "0.0", "x-build-id": "fT6f00UbeblhIA28M" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/saswave~simply-wall-street-tickers-mapping/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-saswave-simply-wall-street-tickers-mapping", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/saswave~simply-wall-street-tickers-mapping/runs": { "post": { "operationId": "runs-sync-saswave-simply-wall-street-tickers-mapping", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/saswave~simply-wall-street-tickers-mapping/run-sync": { "post": { "operationId": "run-sync-saswave-simply-wall-street-tickers-mapping", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "queries" ], "properties": { "queries": { "title": "Search Queries", "type": "array", "description": "List of stock tickers to get matching id from the platform, first 5 suggestions, usually the first is the one you are looking for", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```