# Stock Analyst Price Target (investing.com) (`pintostudio/stock-analyst-price-target-investing-com`) Actor

The Stock Analyst Price Data actor fetches analyst price target information for stocks from Investing.com.

- **URL**: https://apify.com/pintostudio/stock-analyst-price-target-investing-com.md
- **Developed by:** [Pinto Studio](https://apify.com/pintostudio) (community)
- **Categories:** AI, Developer tools, Other
- **Stats:** 23 total users, 0 monthly users, 0.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 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.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Stock Analyst Price Data (Investing.com)

### Overview

The **Stock Analyst Price Data** actor fetches analyst price target information for stocks from Investing.com. This actor provides comprehensive analyst consensus data including price targets, analyst counts, and investment recommendations for publicly traded companies across multiple international markets.

### Features

- **Multi-Market Support**: Access analyst data for stocks from 45+ countries including major markets like US, UK, Germany, Japan, and emerging markets
- **Comprehensive Price Targets**: Retrieve high, low, average, and median analyst price targets
- **Analyst Consensus**: Get the number of analysts covering the stock and their overall recommendation
- **Real-time Data**: Fetch the most current analyst price target information available
- **Structured Output**: Clean, standardized JSON output format for easy integration
- **Error Handling**: Robust error handling with detailed logging and graceful failure management

### Input Configuration

#### Required Parameters

| Parameter | Type | Description | Example |
|-----------|------|-------------|---------|
| `stockSymbol` | String | Stock ticker symbol (1-10 characters) | `AAPL`, `MSFT`, `TSLA` |

#### Optional Parameters

| Parameter | Type | Description | Default | Options |
|-----------|------|-------------|---------|---------|
| `country` | String | Country where the stock is listed | `united states` | See supported countries below |

#### Supported Countries

The actor supports stocks from the following markets:

**Americas**: United States, Canada, Brazil, Mexico, Argentina, Chile, Colombia, Peru

**Europe**: United Kingdom, Germany, France, Italy, Spain, Netherlands, Belgium, Portugal, Austria, Switzerland, Norway, Sweden, Denmark, Finland, Poland, Czech Republic, Hungary, Greece, Turkey, Russia

**Asia-Pacific**: China, Japan, South Korea, India, Australia, Malaysia, Singapore, Thailand, Indonesia, Philippines, Vietnam, Taiwan, Hong Kong, New Zealand

**Middle East & Africa**: Israel, Saudi Arabia, United Arab Emirates, South Africa

### Output Format

The actor returns a structured JSON object with the following fields:

#### Main Output Structure

```json
{
  "stock": "AAPL",
  "country": "united states",
  "as_json": true,
  "retrieved_at": "2025-07-01T12:44:02.316946",
  "data_format": "analyst_price_target",
  "stock_symbol": "AAPL",
  "analyst_price_target": {
    "average": 228.6,
    "high": 300,
    "low": 170.62,
    "last_price": 205.17,
    "analyst_count": 49,
    "conclusion": 3
  },
  "has_data": true
}
```

#### Field Descriptions

| Field | Type | Description |
|-------|------|-------------|
| `stock` | String | The requested stock symbol |
| `country` | String | Country where the stock is listed (lowercase) |
| `as_json` | Boolean | Always true, indicates JSON format output |
| `retrieved_at` | String | ISO timestamp of when the data was fetched |
| `data_format` | String | Always "analyst_price_target" |
| `stock_symbol` | String | Stock symbol (same as stock field) |
| `analyst_price_target` | Object | Contains all analyst price target data |
| `has_data` | Boolean | Indicates if valid data was retrieved |

#### Analyst Price Target Object

| Field | Type | Description |
|-------|------|-------------|
| `average` | Number | Average analyst price target |
| `high` | Number | Highest analyst price target |
| `low` | Number | Lowest analyst price target |
| `last_price` | Number | Current/last stock price |
| `analyst_count` | Integer | Number of analysts providing targets |
| `conclusion` | Integer | Analyst recommendation code (1-5 scale) |

#### Recommendation Codes

The `conclusion` field uses a 1-5 scale:

- **1**: Strong Buy
- **2**: Buy
- **3**: Hold
- **4**: Sell
- **5**: Strong Sell

### Usage Examples

#### Basic Usage

```json
{
  "stockSymbol": "AAPL"
}
```

#### With Specific Country

```json
{
  "stockSymbol": "BBVA",
  "country": "spain"
}
```

#### Multiple Stocks (Run Separately)

For Apple:

```json
{
  "stockSymbol": "AAPL",
  "country": "united states"
}
```

For Tesla:

```json
{
  "stockSymbol": "TSLA",
  "country": "united states"
}
```

### Integration Guide

#### Using the Apify API

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

## Run the actor
run_input = {
    "stockSymbol": "AAPL",
    "country": "united states"
}

run = client.actor("YOUR_ACTOR_ID").call(run_input=run_input)

## Fetch results
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"Stock: {item['stock']}")
    print(f"Average Target: ${item['analyst_price_target']['average']}")
    print(f"Current Price: ${item['analyst_price_target']['last_price']}")
    print(f"Analyst Count: {item['analyst_price_target']['analyst_count']}")
```

#### Using JavaScript/Node.js

```javascript
const { ApifyClient } = require('apify-client');

const client = new ApifyClient({
    token: 'YOUR_API_TOKEN',
});

const input = {
    stockSymbol: 'MSFT',
    country: 'united states'
};

const run = await client.actor('YOUR_ACTOR_ID').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

items.forEach((item) => {
    console.log(`Stock: ${item.stock}`);
    console.log(`Price Target Range: $${item.analyst_price_target.low} - $${item.analyst_price_target.high}`);
    console.log(`Average Target: $${item.analyst_price_target.average}`);
});
```

### Error Handling

The actor includes comprehensive error handling for common scenarios:

#### Validation Errors

- Empty or invalid stock symbols
- Invalid country parameters
- Missing required fields

#### Runtime Errors

- Network connectivity issues
- Data source unavailable
- Rate limiting from Investing.com

#### Example Error Output

```json
{
  "stock": "INVALID",
  "country": "united states",
  "as_json": true,
  "retrieved_at": "2025-07-01T12:44:02.316946",
  "data_format": "analyst_price_target",
  "stock_symbol": "INVALID",
  "analyst_price_target": null,
  "has_data": false,
  "error": "No analyst price target data retrieved"
}
```

### Rate Limits and Best Practices

#### Performance Optimization

- **Batch Processing**: For multiple stocks, run separate actor instances rather than sequential calls
- **Caching**: Results are timestamped; consider caching data for repeated requests
- **Error Recovery**: Implement retry logic for temporary network failures

#### Rate Limiting

- Investing.com may impose rate limits on requests
- Consider delays between requests for large datasets
- Monitor actor run logs for rate limiting warnings

#### Country-Specific Considerations

- Some stocks may not have analyst coverage in all markets
- Emerging market stocks typically have fewer analyst reports
- Currency considerations: prices are returned in the stock's native currency

### Data Freshness and Accuracy

- **Update Frequency**: Analyst data is typically updated when new research reports are published
- **Source**: Data is sourced directly from Investing.com
- **Timeliness**: The `retrieved_at` timestamp indicates when the data was fetched
- **Accuracy**: Data accuracy depends on Investing.com's data quality and update frequency

### Common Use Cases

#### Investment Research

- Compare analyst consensus across multiple stocks
- Track changes in analyst sentiment over time
- Identify stocks with high analyst confidence (high analyst count)

#### Portfolio Management

- Assess if current positions align with analyst targets
- Identify potential buying opportunities (current price below average target)
- Monitor analyst recommendation changes

#### Financial Analysis

- Calculate potential upside/downside based on analyst targets
- Analyze analyst consensus reliability
- Compare analyst targets with technical analysis

#### Automated Trading Systems

- Trigger buy/sell signals based on analyst target changes
- Weight positions based on analyst confidence levels
- Filter stocks based on analyst coverage quality

### Troubleshooting

#### Common Issues

**No Data Returned**

- Verify the stock symbol is correct and actively traded
- Check if the stock is listed in the specified country
- Some stocks may not have analyst coverage

**Invalid Stock Symbol**

- Ensure the symbol format matches the exchange (e.g., US stocks don't need suffixes)
- International stocks may require specific formatting

**Country Mismatch**

- Verify the stock is listed in the specified country
- Some multinational companies may be listed in multiple countries

### 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:

- **Telegram**: [@pintoflow](https://t.me/pintoflow)
- **Apify Platform**: You can also contact us directly through this platform.

***

# Actor input Schema

## `stockSymbol` (type: `string`):

Stock symbol to retrieve historical data from (e.g., 'AAPL', 'BBVA', 'MSFT')

## `country` (type: `string`):

The country where the stock is listed

## Actor input object example

```json
{
  "stockSymbol": "AAPL",
  "country": "united states"
}
```

# Actor output Schema

## `analystPriceTargetResults` (type: `string`):

No description

## `analystPriceTargetSummary` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "stockSymbol": "AAPL"
};

// Run the Actor and wait for it to finish
const run = await client.actor("pintostudio/stock-analyst-price-target-investing-com").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "stockSymbol": "AAPL" }

# Run the Actor and wait for it to finish
run = client.actor("pintostudio/stock-analyst-price-target-investing-com").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "stockSymbol": "AAPL"
}' |
apify call pintostudio/stock-analyst-price-target-investing-com --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pintostudio/stock-analyst-price-target-investing-com"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/e3ykQpl53vFGeMcx7/builds/SAfmQl8mZ6s2chPjg/openapi.json