# MarketBeat Analyst Ratings & Price Target Scraper (`crawlerbros/marketbeat-analyst-ratings-scraper`) Actor

Scrape MarketBeat.com analyst ratings pages for any stock ticker - consensus rating, consensus price target, forecasted upside, rating breakdown, and the full history of individual analyst rating actions (brokerage, analyst, action, rating change, price target, upside/downside). No login required.

- **URL**: https://apify.com/crawlerbros/marketbeat-analyst-ratings-scraper.md
- **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community)
- **Categories:** Automation, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## MarketBeat Analyst Ratings & Price Target Scraper

Scrape [MarketBeat.com](https://www.marketbeat.com) analyst-ratings & price-target pages for any stock ticker. Returns the Wall Street consensus rating, consensus price target, forecasted upside/downside, the buy/hold/sell breakdown, and the full visible history of individual analyst rating actions (brokerage, action, rating change, price target, upside/downside). No login, no API key, no proxy required.

### What this actor does

- **Consensus summary** — consensus rating (e.g. "Moderate Buy"), consensus price target, forecasted upside %, analyst count, buy/hold/sell breakdown
- **Rating history** — one record per individual analyst rating action: date, brokerage, analyst, action, old→new rating, price target, upside/downside %, details link
- **Multi-ticker, multi-exchange** — batch any number of tickers on one exchange per run
- **Typed not-found records** — tickers MarketBeat has no page for are returned as error records, never silently dropped
- **Empty fields are omitted**

### Output

**Consensus summary record** (`recordType: "consensusSummary"`):

- `ticker`, `exchange`, `consensusRating`, `consensusPriceTarget`, `forecastedUpsidePercent`
- `analystCount`, `buyCount`, `holdCount`, `sellCount`
- `strongBuyRatingsCurrent`, `buyRatingsCurrent`, `holdRatingsCurrent`, `sellRatingsCurrent`, `strongSellRatingsCurrent`
- `forecastUrl`, `scrapedAt`

**Rating history record** (`recordType: "ratingHistory"`, one per analyst action):

- `ticker`, `exchange`, `date`, `brokerage`, `brokeragePerformanceStars`, `analyst`
- `action`, `oldRating`, `newRating`, `priceTarget`, `upsideDownsidePercent`
- `detailsUrl`, `forecastUrl`, `scrapedAt`

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `tickers` | array | – (required) | Ticker symbols to fetch; suggested value `["AAPL"]` |
| `exchange` | select | – (required) | Exchange the tickers trade on; suggested value `NASDAQ` |
| `includeRatingHistory` | boolean | `true` | Also emit individual rating-action records |
| `maxRatingsPerTicker` | integer | `50` | Cap on rating-history records per ticker (1–200) |

#### Example: mega-cap tech consensus + history

```json
{
  "tickers": ["AAPL", "MSFT", "NVDA"],
  "exchange": "NASDAQ",
  "includeRatingHistory": true,
  "maxRatingsPerTicker": 50
}
```

#### Example: consensus only, no history

```json
{
  "tickers": ["T"],
  "exchange": "NYSE",
  "includeRatingHistory": false
}
```

### Use cases

- **Investment research** — pull Wall Street consensus rating and price target before making a trade decision
- **Sentiment tracking** — monitor how a stock's buy/hold/sell breakdown shifts over time
- **Brokerage comparison** — see which brokerages are bullish vs. bearish on a given ticker
- **Portfolio screening** — batch-fetch consensus ratings across a watchlist of tickers
- **Financial content & newsletters** — source fresh analyst-rating data for market commentary

### Data source

Data is parsed directly from MarketBeat's public, freely accessible stock forecast pages (`marketbeat.com/stocks/{exchange}/{ticker}/forecast/`). No account or subscription is required to view this data.

### FAQs

**Do I need a MarketBeat account?** No — the consensus rating, price target, and visible rating-action history are all publicly accessible without login.

**What happens for an invalid ticker/exchange combination?** MarketBeat redirects to a generic listing page for unknown tickers; this actor detects that redirect and emits a `tickerNotFound` error record instead of failing silently.

**Why do some rating-history rows have no price target?** MarketBeat itself doesn't always publish a price target for every individual analyst action (e.g. a coverage initiation without a stated target) — those fields are simply omitted rather than filled with a placeholder.

# Actor input Schema

## `tickers` (type: `array`):

Stock ticker symbols to fetch analyst ratings for, e.g. `AAPL`, `MSFT`.

## `exchange` (type: `string`):

The exchange the ticker(s) trade on.

## `includeRatingHistory` (type: `boolean`):

Emit one record per individual analyst rating action, in addition to the consensus summary record.

## `maxRatingsPerTicker` (type: `integer`):

Cap on individual analyst rating-action records emitted per ticker.

## Actor input object example

```json
{
  "tickers": [
    "AAPL"
  ],
  "exchange": "NASDAQ",
  "includeRatingHistory": true,
  "maxRatingsPerTicker": 50
}
```

# Actor output Schema

## `ratings` (type: `string`):

Dataset containing consensus-summary and rating-history records.

# 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 = {
    "tickers": [
        "AAPL"
    ],
    "exchange": "NASDAQ",
    "includeRatingHistory": true,
    "maxRatingsPerTicker": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawlerbros/marketbeat-analyst-ratings-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "tickers": ["AAPL"],
    "exchange": "NASDAQ",
    "includeRatingHistory": True,
    "maxRatingsPerTicker": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("crawlerbros/marketbeat-analyst-ratings-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 '{
  "tickers": [
    "AAPL"
  ],
  "exchange": "NASDAQ",
  "includeRatingHistory": true,
  "maxRatingsPerTicker": 50
}' |
apify call crawlerbros/marketbeat-analyst-ratings-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=crawlerbros/marketbeat-analyst-ratings-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/v4gQLndofhJ4jNdlG/builds/FrPBSI43F8wXgZXeq/openapi.json