📈 Stocks Overview Data (Investing.com) – Apify Actor Documentation This Apify actor fetches stock overview data from Investing.com for a specified country. It retrieves up to 1,000 stock entries with key financial metrics and summarizes market sentiment. --- ## 📌 Overview The Stocks Overview Data (Investing.com) actor retrieves structured financial data for publicly traded companies based on country selection. The actor supports advanced filtering, data enrichment, and result summarization. Typical use cases include: - Daily stock performance snapshots - Investment insights by region - Real-time reporting dashboards - Quantitative analysis pipelines --- ## ✅ Output Format The actor pushes each stock record to the Apify dataset in the following structure: json { "country": "united states", "name": "Boeing", "symbol": "BA", "last": 218.52, "high": 220.0, "low": 214.72, "change": "-0.11", "change_percentage": "-0.05%", "turnover": 6770000.0, "currency": "USD", "retrieved_at": "2025-07-09T09:00:18.847563", "data_type": "stock_overview" } Additionally, a summary object is saved under the key stocks_overview_summary using Actor.set_value(): json { "country": "united states", "n_results": 100, "has_data": true, "retrieved_at": "2025-07-09T09:00:18.847563", "data_format": "list", "total_stocks": 100, "currencies": ["USD"], "sectors_count": 8, "avg_stock_price": 103.55, "highest_stock_price": 570.1, "lowest_stock_price": 3.2, "stocks_with_positive_change": 53, "stocks_with_negative_change": 47, "market_sentiment": "positive", "top_performers": [ { "name": "Company A", "symbol": "CMPA", "change_percentage": "7.12%" }, ... ] } --- ## 📥 How It Works 1. Input Retrieval: Accepts a country and optional nResults (max 1000). 2. Validation: Checks that input types and values are valid. 3. Data Fetching: Calls get_stocks_overview() to retrieve data. 4. Data Storage: Stores each record in the dataset. 5. Summary Generation: Calculates: * Number of stocks * Average, highest, and lowest stock prices * Count of stocks with price increase/decrease * Market sentiment analysis * Top 5 performing stocks 6. Error Handling: Captures and logs detailed error types (ValueError, IOError, etc.) with metadata. --- ## 🧠 Key Features * Supports 48 countries * Customizable result count (1–1000) * Adds enhanced metadata for each entry * Provides real-time summary and market insight * Fully async for optimal performance * Robust error handling and logging --- ## ⚠️ Error Handling If any error occurs, a record with data_type: "error" is pushed, including: json { "country": "france", "n_results": 100, "error_type": "ConnectionError", "error_message": "Connection timed out", "retrieved_at": "2025-07-09T09:00:18.847563", "data_type": "error" } In addition, Actor.fail() is called to mark the run as failed. --- ## 🧪 Example Input json { "country": "united states", "nResults": 50 } ## 📤 Example Output (single record) json { "country": "united states", "name": "Apple Inc.", "symbol": "AAPL", "last": 192.64, "high": 195.0, "low": 190.5, "change": "+1.24", "change_percentage": "+0.65%", "turnover": 98000000, "currency": "USD", "retrieved_at": "2025-07-09T09:00:18.847563", "data_type": "stock_overview" } --- ## 🚀 Deployment This actor is deployed on the Apify platform. You can run it via: * Apify Console UI * API call * Schedule (cron-like) --- ## 🧼 Output Keys | Field | Description | | ----------------------------- | -------------------------------------- | | name | Company name | | symbol | Ticker symbol | | last | Last traded price | | high, low | Daily high and low prices | | change, change_percentage | Price change and percent delta | | turnover | Trade volume | | currency | Currency code (e.g., USD, EUR) | | retrieved_at | ISO timestamp when data was fetched | | data_type | Either "stock_overview" or "error" | --- ## Support If you have any questions or encounter any issues, please consult the Apify documentation or reach out to us through one of the following channels: - Verify input parameters match the schema requirements - Check the Apify platform documentation - Review the actor logs for detailed error messages * Telegram: @pintoflow * Apify Platform: You can also contact us directly through this platform. ---