# China A-Share Financials — Earnings & Fundamentals (`nexgendata/china-a-share-financials`) Actor Scrape per-company financials for every listed Chinese A-share: revenue, net profit, EPS, ROE, gross margin, YoY/QoQ growth, for any reporting period. Eastmoney 业绩报表 data, no login required. - **URL**: https://apify.com/nexgendata/china-a-share-financials.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Marketing, AI - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $100.00 / 1,000 company financial records 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 ## China A-Share Financials — Earnings & Fundamentals Pull **per-company financial results for every listed Chinese A-share** in one run: revenue, net profit, EPS, ROE, gross margin and year-over-year / quarter-over-quarter growth, for any reporting period you choose. It's the structured, spreadsheet-ready version of Eastmoney's performance-report (业绩报表) data — **no login, no account, no API key**. If you do equity research, quant screening, or track Chinese markets, this Actor gives you the fundamentals of the entire A-share universe (Shanghai, Shenzhen, STAR Market, ChiNext and the Beijing Stock Exchange) as clean rows you can filter, rank and model. ### What you get One row per company per reporting period, with: | Field | Description | |---|---| | `stockCode` / `secuCode` | 6-digit code and full code with exchange suffix | | `stockName` | Company short name | | `market` | Board (沪市主板, 深市主板, 创业板/ChiNext, 科创板/STAR, 北交所/BSE) | | `reportPeriod` / `reportType` | e.g. `2026Q1`, "2026年 一季报" | | `totalRevenue` | Total operating revenue (CNY) | | `revenueYoYPct` / `revenueQoQPct` | Revenue growth, year-over-year / quarter-over-quarter | | `netProfitToParent` | Net profit attributable to parent (CNY) | | `netProfitYoYPct` / `netProfitQoQPct` | Net profit growth YoY / QoQ | | `basicEps` / `deductedEps` | Basic EPS and EPS excluding non-recurring items | | `weightedRoePct` | Weighted average return on equity | | `grossMarginPct` | Gross profit margin | | `netAssetsPerShare` | Book value per share | | `operCashFlowPerShare` | Operating cash flow per share | | `announcementDate` | Date the results were disclosed | ### Input - **Reporting period** (`reportPeriod`) — a quarter-end such as `2026-03-31` (Q1), `2025-12-31` (annual), `2025-06-30` (interim). Leave blank to auto-select the latest fully-reported quarter. - **Stock codes** (`securityCodes`) — restrict to specific tickers (e.g. `600519`, `000001`, `300750`), or leave empty for the whole market. - **Include NEEQ** (`includeNEEQ`) — off by default; on includes lower-tier 新三板 companies. - **Max companies** (`maxResults`) — cap the number of rows. #### Example input ```json { "reportPeriod": "2026-03-31", "securityCodes": ["600519", "300750", "000001"] } ```` #### Example output row ```json { "stockCode": "600519", "stockName": "贵州茅台", "market": "沪市主板", "reportPeriod": "2026Q1", "totalRevenue": 51444000000.0, "revenueYoYPct": 10.7, "netProfitToParent": 26849000000.0, "netProfitYoYPct": 11.6, "basicEps": 21.37, "weightedRoePct": 12.05, "grossMarginPct": 92.0, "announcementDate": "2026-04-29" } ``` ### Use cases - **Quant & factor screening** — rank the whole market on growth, ROE, margin or EPS in seconds. - **Earnings-season monitoring** — pull each quarter's results as companies report; sort by `announcementDate`. - **Fundamental research** — build comparable tables across peers or sectors. - **Dashboards & data products** — feed clean A-share fundamentals into your own app, sheet or BI tool. - **Backtesting** — collect historical quarters (loop `reportPeriod`) to build a fundamentals time series. ### Tips - Run it on a **schedule** during reporting season and sort on `announcementDate` to catch fresh results. - To build history, run once per quarter-end (`2025-03-31`, `2025-06-30`, …) and append to one dataset. - `revenueYoYPct` and `netProfitYoYPct` are already computed — no need to derive growth yourself. ### FAQ **Do I need an account or API key?** No. Data is pulled live from Eastmoney's public dataset. **Which markets are covered?** All A-shares — Shanghai & Shenzhen main boards, STAR Market (科创板), ChiNext (创业板) and the Beijing Stock Exchange. NEEQ (新三板) is optional. **How fresh is it?** As fresh as Eastmoney — rows appear as companies disclose. Sort by `announcementDate`. **What currency?** Chinese yuan (CNY). ### Related Actors by NexGenData - [Eastmoney China Stock Screener](https://apify.com/nexgendata/eastmoney-china-stock-screener?fpr=2ayu9b) - [Star Market China Stock Screener](https://apify.com/nexgendata/star-market-china-stock-screener?fpr=2ayu9b) - [Chinext China Stock Screener](https://apify.com/nexgendata/chinext-china-stock-screener?fpr=2ayu9b) - [China Stock Connect Flow](https://apify.com/nexgendata/china-stock-connect-flow?fpr=2ayu9b) - [China A Share Institutional Holdings](https://apify.com/nexgendata/china-a-share-institutional-holdings?fpr=2ayu9b) Part of a China market-intelligence suite: - **Eastmoney China Stock Screener** — live A-share price/valuation screening. - **Eastmoney Financial News** — Chinese financial news headlines. - **China A-Share Earnings Calendar / Block Trades / Dragon-Tiger / Stock Connect** — the rest of the China finance data stack. # Actor input Schema ## `reportPeriod` (type: `string`): Quarter-end date to pull, e.g. 2026-03-31 (Q1), 2025-12-31 (annual), 2025-06-30 (interim). Leave blank to auto-select the latest fully-reported quarter. ## `securityCodes` (type: `array`): Restrict to specific 6-digit A-share codes (e.g. 600519, 000001, 300750). Leave empty for the whole market. ## `includeNEEQ` (type: `boolean`): Include lower-tier National Equities Exchange (新三板) companies. Off by default — returns main-board / STAR / ChiNext / BSE A-shares only. ## `maxResults` (type: `integer`): Maximum number of company rows to return. ## Actor input object example ```json { "reportPeriod": "2026-03-31", "securityCodes": [ "600519", "000001", "300750" ], "includeNEEQ": false, "maxResults": 500 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/china-a-share-financials").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 = {} # Run the Actor and wait for it to finish run = client.actor("nexgendata/china-a-share-financials").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 '{}' | apify call nexgendata/china-a-share-financials --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/china-a-share-financials", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "China A-Share Financials — Earnings & Fundamentals", "description": "Scrape per-company financials for every listed Chinese A-share: revenue, net profit, EPS, ROE, gross margin, YoY/QoQ growth, for any reporting period. Eastmoney 业绩报表 data, no login required.", "version": "0.0", "x-build-id": "Je9FopGKL36wv9mdX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~china-a-share-financials/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-china-a-share-financials", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~china-a-share-financials/runs": { "post": { "operationId": "runs-sync-nexgendata-china-a-share-financials", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~china-a-share-financials/run-sync": { "post": { "operationId": "run-sync-nexgendata-china-a-share-financials", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "reportPeriod": { "title": "Reporting period (quarter-end)", "type": "string", "description": "Quarter-end date to pull, e.g. 2026-03-31 (Q1), 2025-12-31 (annual), 2025-06-30 (interim). Leave blank to auto-select the latest fully-reported quarter." }, "securityCodes": { "title": "Stock codes (optional)", "type": "array", "description": "Restrict to specific 6-digit A-share codes (e.g. 600519, 000001, 300750). Leave empty for the whole market.", "items": { "type": "string" } }, "includeNEEQ": { "title": "Include NEEQ (新三板) stocks", "type": "boolean", "description": "Include lower-tier National Equities Exchange (新三板) companies. Off by default — returns main-board / STAR / ChiNext / BSE A-shares only.", "default": false }, "maxResults": { "title": "Max companies", "minimum": 1, "maximum": 6000, "type": "integer", "description": "Maximum number of company rows to return.", "default": 500 } } }, "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 } } } } } } } } } } ```