# Indonesia Stock Market Scraper (`jokosakti/indonesia-stock-market-scraper`) Actor Fast, lightweight, and reliable scraper to extract real-time prices and key fundamental metrics (P/E Ratio, Market Cap) for the top 45 blue-chip companies (LQ45) on the Indonesia Stock Exchange. - **URL**: https://apify.com/jokosakti/indonesia-stock-market-scraper.md - **Developed by:** [Enrico Tunggul Dewangga](https://apify.com/jokosakti) (community) - **Categories:** Developer tools, Other - **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.70 / 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 ## Indonesia Stock Market Scraper ### English Apify actor for scraping IDX/LQ45 stock quote data from Yahoo Finance. #### Features - Supports IDX tickers such as `BBCA` or `BBCA.JK`. - Automatically normalizes tickers to the `.JK` suffix. - Uses the full default LQ45 list defined in the code when no symbols are provided. - Can limit the number of processed symbols through `maxItems`. - Can filter saved dataset fields through `outputFields`. - Uses Playwright as the primary path and falls back to price data recovery when the main Yahoo Finance DOM is incomplete. - Generates an HTML output report in Apify so users can review results in a cleaner UI than raw JSON alone. #### Output Available fields: - `symbol` - `name` - `price` - `marketCap` - `peRatio` - `forwardPe` - `priceToBook` - `previousClose` - `open` - `volume` - `avgVolume` - `dayRange` - `fiftyTwoWeekRange` - `timestamp` Full 5-symbol sample dataset: - Input example: `examples/full-output-5-symbols-input.json` - Output example: `examples/full-output-5-symbols.json` #### Actor Input Example input: ```json { "maxItems": 45, "outputFields": ["symbol", "name", "price", "marketCap", "volume", "timestamp"], "useFallbackOnly": false } ```` Details: - `symbols`: list of IDX tickers. You can provide `BBCA` or `BBCA.JK`. If omitted, the actor uses the default LQ45 list. - `maxItems`: limits how many symbols are processed after normalization and deduplication. - `outputFields`: if provided, only the selected fields are stored in the dataset. - `useFallbackOnly`: uses only the Yahoo chart API without DOM scraping. #### Sample Output ```json [ { "symbol": "BBCA.JK", "name": "PT Bank Central Asia Tbk (BBCA.JK)", "price": "6,725.00", "marketCap": "808.81T", "peRatio": "14.08", "forwardPe": "13.21", "priceToBook": "2.87", "previousClose": "6,575.00", "open": "6,675.00", "volume": "64,289,000", "avgVolume": "213,106,377", "dayRange": "6,675.00 - 6,800.00", "fiftyTwoWeekRange": "6,350.00 - 9,800.00", "timestamp": "2026-04-14T05:02:10.938Z" } ] ``` #### Important Notes - The recommended default mode is `useFallbackOnly: false`. - `useFallbackOnly: true` is available, but Yahoo may return `429 Too Many Requests` for HTTP-only requests. Use it only when needed. - The actor is more stable with low concurrency. The current configuration uses `maxConcurrency: 1`. - The currently validated working versions are `apify 3.7.0`, `crawlee 3.16.0`, and `playwright 1.59.1`. #### Run Locally Install dependencies: ```bash npm install ``` Run the actor: ```bash npm start ``` The local sample input is stored in `storage/key_value_stores/default/INPUT.json`. #### Push To Apify Make sure the Apify CLI is logged in: ```bash apify login ``` Then push the actor: ```bash apify push ``` The actor input schema is defined in `.actor/input_schema.json`, so the input form renders properly in Apify Console. #### Output Tab The actor also generates an HTML report and a JSON summary in the default key-value store. In Apify Console, these are exposed in the Output tab for a cleaner post-run experience. #### Actor Schemas - `.actor/input_schema.json`: controls the run input form in Apify Console. - `.actor/output_schema.json`: defines what appears in the Output tab after a run. - `.actor/dataset_schema.json`: documents dataset item fields and configures `Overview`, `Compact Quotes`, `Valuation Focus`, `Liquidity Watch`, and `Full Metrics` views. - `.actor/key_value_store_schema.json`: groups HTML report, summary JSON, error JSON, and SDK diagnostics in the Storage tab. ### Bahasa Indonesia Actor Apify untuk mengambil data quote emiten IDX/LQ45 dari Yahoo Finance. #### Fitur - Mendukung input ticker IDX seperti `BBCA` atau `BBCA.JK`. - Otomatis menormalkan ticker ke suffix `.JK`. - Default list memakai seluruh daftar LQ45 yang ada di kode. - Bisa membatasi jumlah simbol lewat `maxItems`. - Bisa memfilter field output lewat `outputFields`. - Menggunakan Playwright untuk jalur utama dan fallback data harga jika DOM utama tidak lengkap. - Menghasilkan laporan HTML di Apify Output tab agar hasil run lebih mudah dibaca dibanding JSON mentah saja. #### Output Field yang tersedia: - `symbol` - `name` - `price` - `marketCap` - `peRatio` - `forwardPe` - `priceToBook` - `previousClose` - `open` - `volume` - `avgVolume` - `dayRange` - `fiftyTwoWeekRange` - `timestamp` Contoh dataset penuh untuk 5 emiten: - Input contoh: `examples/full-output-5-symbols-input.json` - Output contoh: `examples/full-output-5-symbols.json` #### Input Actor Contoh input: ```json { "maxItems": 45, "outputFields": ["symbol", "name", "price", "marketCap", "volume", "timestamp"], "useFallbackOnly": false } ``` Keterangan: - `symbols`: daftar ticker IDX. Boleh `BBCA` atau `BBCA.JK`. Jika dikosongkan, actor memakai daftar default LQ45. - `maxItems`: membatasi jumlah simbol yang diproses setelah normalisasi dan deduplikasi. - `outputFields`: jika diisi, dataset hanya menyimpan field yang dipilih. - `useFallbackOnly`: hanya memakai chart API Yahoo tanpa scraping DOM. #### Contoh Output ```json [ { "symbol": "BBCA.JK", "name": "PT Bank Central Asia Tbk (BBCA.JK)", "price": "6,725.00", "marketCap": "808.81T", "peRatio": "14.08", "forwardPe": "13.21", "priceToBook": "2.87", "previousClose": "6,575.00", "open": "6,675.00", "volume": "64,289,000", "avgVolume": "213,106,377", "dayRange": "6,675.00 - 6,800.00", "fiftyTwoWeekRange": "6,350.00 - 9,800.00", "timestamp": "2026-04-14T05:02:10.938Z" } ] ``` #### Catatan Penting - Mode default yang direkomendasikan adalah `useFallbackOnly: false`. - `useFallbackOnly: true` sudah tersedia, tetapi Yahoo kadang memberi `429 Too Many Requests` untuk jalur HTTP-only. Gunakan hanya jika memang perlu. - Actor ini lebih stabil bila dijalankan dengan concurrency rendah. Konfigurasi saat ini memakai `maxConcurrency: 1`. - Versi yang tervalidasi berjalan normal: `apify 3.7.0`, `crawlee 3.16.0`, dan `playwright 1.59.1`. #### Jalankan Lokal Install dependency: ```bash npm install ``` Jalankan actor: ```bash npm start ``` Contoh input lokal ada di `storage/key_value_stores/default/INPUT.json`. #### Push Ke Apify Pastikan Apify CLI sudah login: ```bash apify login ``` Lalu push actor: ```bash apify push ``` Schema input actor ada di `.actor/input_schema.json`, sehingga field input akan muncul rapi di Apify Console. #### Output Tab Actor ini juga membuat laporan HTML dan ringkasan JSON di key-value store default. Di Apify Console, hasil tersebut bisa ditampilkan di Output tab agar pengalaman pengguna lebih nyaman. #### Schema Actor - `.actor/input_schema.json`: mengatur form input di Apify Console. - `.actor/output_schema.json`: menentukan apa yang muncul di Output tab setelah run selesai. - `.actor/dataset_schema.json`: mendeskripsikan field dataset dan mengatur view `Overview`, `Compact Quotes`, `Valuation Focus`, `Liquidity Watch`, dan `Full Metrics`. - `.actor/key_value_store_schema.json`: mengelompokkan laporan HTML, summary JSON, error JSON, dan file diagnostik SDK di Storage tab. # Actor input Schema ## `symbols` (type: `array`): List of IDX stock tickers. You can use BBCA or BBCA.JK. Leave empty to use the default full LQ45 list. ## `maxItems` (type: `integer`): Maximum number of symbols to process after normalization and deduplication. ## `outputFields` (type: `array`): Choose which fields should be stored in the dataset. Leave empty to store all available fields. ## `useFallbackOnly` (type: `boolean`): If enabled, the actor skips browser-based scraping and uses only the Yahoo chart API. This is cheaper and faster, but fundamental fields may be unavailable. ## Actor input object example ```json { "maxItems": 45, "outputFields": [ "symbol", "name", "price", "marketCap", "peRatio" ], "useFallbackOnly": false } ``` # Actor output Schema ## `results` (type: `string`): Main scraped quote and valuation dataset. Apify Console will allow switching between the dataset views defined in dataset\_schema.json. ## `interactiveReport` (type: `string`): Visual HTML summary of the run with KPI cards, top-5 snapshot cards, full result table, and errors section. ## `runSummaryFiles` (type: `string`): Summary-related artifacts from the default key-value store. Currently includes OUTPUT\_SUMMARY. ## `runErrorFiles` (type: `string`): Error artifacts written during the run. Currently includes RUN\_ERRORS when any request fails or retries are recorded. ## `sdkDiagnostics` (type: `string`): Crawler statistics and SDK state artifacts useful for debugging rate limits, timeouts, and cloud run behavior. # 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 = { "outputFields": [ "symbol", "name", "price", "marketCap", "peRatio" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jokosakti/indonesia-stock-market-scraper").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 = { "outputFields": [ "symbol", "name", "price", "marketCap", "peRatio", ] } # Run the Actor and wait for it to finish run = client.actor("jokosakti/indonesia-stock-market-scraper").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 '{ "outputFields": [ "symbol", "name", "price", "marketCap", "peRatio" ] }' | apify call jokosakti/indonesia-stock-market-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jokosakti/indonesia-stock-market-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Indonesia Stock Market Scraper", "description": "Fast, lightweight, and reliable scraper to extract real-time prices and key fundamental metrics (P/E Ratio, Market Cap) for the top 45 blue-chip companies (LQ45) on the Indonesia Stock Exchange.", "version": "1.1", "x-build-id": "5DzRZGBEbE7y5uFqC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jokosakti~indonesia-stock-market-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jokosakti-indonesia-stock-market-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jokosakti~indonesia-stock-market-scraper/runs": { "post": { "operationId": "runs-sync-jokosakti-indonesia-stock-market-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jokosakti~indonesia-stock-market-scraper/run-sync": { "post": { "operationId": "run-sync-jokosakti-indonesia-stock-market-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "symbols": { "title": "Stock Tickers", "type": "array", "description": "List of IDX stock tickers. You can use BBCA or BBCA.JK. Leave empty to use the default full LQ45 list.", "items": { "type": "string" } }, "maxItems": { "title": "Maximum items", "minimum": 1, "type": "integer", "description": "Maximum number of symbols to process after normalization and deduplication.", "default": 45 }, "outputFields": { "title": "Selected Output Fields", "type": "array", "description": "Choose which fields should be stored in the dataset. Leave empty to store all available fields.", "items": { "type": "string" } }, "useFallbackOnly": { "title": "Use Fallback Only", "type": "boolean", "description": "If enabled, the actor skips browser-based scraping and uses only the Yahoo chart API. This is cheaper and faster, but fundamental fields may be unavailable.", "default": false } } }, "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 } } } } } } } } } } ```