# Stock Market Analyzer (`gusdecool/stock-market-analyzer`) Actor Analyzes IDX stocks to provide predictive dividend dates, trailing twelve months (TTM) yields, and key valuation metrics (PE/PB ratios). - **URL**: https://apify.com/gusdecool/stock-market-analyzer.md - **Developed by:** [Budi Arsana](https://apify.com/gusdecool) (community) - **Categories:** Developer tools, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 symbols 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 ## Indonesia Stock Data Scraper Extract comprehensive stock statistics and dividend history for Indonesian public companies listed on the IDX (Indonesia Stock Exchange). ### What does Indonesia Stock Data Scraper do? This Actor extracts financial data for Indonesian stocks from various public financial sources. It provides key metrics including: - Real-time market price (as per available data sources) - Valuation ratios (PE Ratio, PB Ratio) - Dividend history and metrics (Trailing Twelve Months dividend amount, frequency) - Predicted next dividend date based on historical patterns ### Why use Indonesia Stock Data Scraper? - **Investment Analysis**: Quickly gather fundamental data for multiple IDX stocks. - **Dividend Tracking**: Monitor dividend yields and predict upcoming dividend dates for your portfolio. - **Valuation Comparison**: Compare PE and PB ratios across different companies in the Indonesian market. - **Automation**: Schedule runs to keep your financial spreadsheets or databases updated with the latest IDX data. ### How to use Indonesia Stock Data Scraper 1. **Create an account** on Apify. 2. **Open the Actor** in the Apify Console. 3. **Input the stock symbols** you want to track (e.g., `BBCA`, `BBNI`, `TLKM`). 4. **Click Run** and wait for the results. 5. **Download the data** in JSON, CSV, Excel, or other formats. ### Input | Field | Type | Description | Default | |-------|------|-------------|---------| | `symbols` | Array | List of IDX stock symbols (e.g., ["BBCA", "BMRI"]) | `["BBCA", "BBNI", "BMRI"]` | | `proxyConfiguration` | Object | Proxy settings for anti-bot protection | `{"useApifyProxy": true}` | Example Input: ```json { "symbols": ["BBCA", "TLKM", "ASII"], "proxyConfiguration": { "useApifyProxy": true } } ```` ### Output The Actor stores results in a dataset. Each item represents one stock: ```json { "symbol": "BBCA", "market_price": 10200, "market_price_timestamp": 1714748400, "pe_ratio": 24.5, "pb_ratio": 4.8, "dividend_amount_ttm": 227.5, "dividend_times_per_annum": 2, "dividend_predicted_next_date": "2024-11-20" } ``` ### Data Table | Field | Description | |-------|-------------| | `symbol` | The stock ticker symbol. | | `market_price` | Current market price. | | `market_price_timestamp` | in unix | | `pe_ratio` | Price-to-Earnings ratio. | | `pb_ratio` | Price-to-Book ratio. | | `dividend_amount_ttm` | Total dividends paid in the last 12 months. | | `dividend_times_per_annum` | Number of times dividends are paid per year. | | `dividend_predicted_next_date` | Estimated date for the next dividend ex-date. | ### Pricing / Cost estimation The Actor is designed to be highly efficient using `CheerioCrawler`. Scrapping 100 symbols typically consumes less than 0.05 Compute Units. Using Apify Proxy is recommended for stable performance. ### Tips or Advanced options - Use the `symbols` field to process many stocks in a single run. - For large lists, ensure you have sufficient proxy resources. - Integrate with Google Sheets or other tools using Apify's webhooks. ### FAQ, disclaimers, and support - **Disclaimer**: This Actor is for informational purposes only. Do not use this data for professional financial advice. Always verify with official IDX filings. - **Support**: If you find any issues or have feature requests, please open an issue in the Issues tab. # Actor input Schema ## `symbols` (type: `array`): List of Indonesia stock symbols to scrape (e.g., BBCA, BBNI, BMRI). ## `proxyConfiguration` (type: `object`): Proxy settings for anti-bot protection. ## Actor input object example ```json { "symbols": [ "BBCA", "BBNI", "BMRI" ], "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `dataset` (type: `string`): No description ## `output` (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 = { "symbols": [ "BBCA", "BBNI", "BMRI" ] }; // Run the Actor and wait for it to finish const run = await client.actor("gusdecool/stock-market-analyzer").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 = { "symbols": [ "BBCA", "BBNI", "BMRI", ] } # Run the Actor and wait for it to finish run = client.actor("gusdecool/stock-market-analyzer").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 '{ "symbols": [ "BBCA", "BBNI", "BMRI" ] }' | apify call gusdecool/stock-market-analyzer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gusdecool/stock-market-analyzer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Stock Market Analyzer", "description": "Analyzes IDX stocks to provide predictive dividend dates, trailing twelve months (TTM) yields, and key valuation metrics (PE/PB ratios).", "version": "0.0", "x-build-id": "hX5CmhiAi1hif4mWz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gusdecool~stock-market-analyzer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gusdecool-stock-market-analyzer", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gusdecool~stock-market-analyzer/runs": { "post": { "operationId": "runs-sync-gusdecool-stock-market-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gusdecool~stock-market-analyzer/run-sync": { "post": { "operationId": "run-sync-gusdecool-stock-market-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "symbols" ], "properties": { "symbols": { "title": "Stock Symbols", "type": "array", "description": "List of Indonesia stock symbols to scrape (e.g., BBCA, BBNI, BMRI).", "default": [ "BBCA", "BBNI", "BMRI" ], "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for anti-bot protection.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```