# TipRanks Analyst, Insider & Smart Score Scraper (`axery/tipranks-stock-signals`) Actor

Scrape TipRanks stock signals: Wall Street analyst consensus (Buy/Hold/Sell), average price targets, hedge fund sentiment, insider trading & 1-10 Smart Score.

- **URL**: https://apify.com/axery/tipranks-stock-signals.md
- **Developed by:** [Axery](https://apify.com/axery) (community)
- **Categories:** Business, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 scraped stock signals

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

## 📈 TipRanks Stock Signals, Analyst Consensus & Smart Score Scraper

Extract rich financial intelligence, Wall Street analyst consensus, price targets, corporate insider transactions, and TipRanks proprietary 1–10 Smart Scores for any stock ticker.

Fast, lightweight, HTTP-only scraper. Zero login or API keys needed.

***

### ✨ Features

- **🎯 1–10 Smart Score:** Proprietary quantitative indicator measuring momentum, ROE, asset growth, and technicals.
- **🏛️ Wall Street Consensus:** Total Buy, Hold, and Sell counts with overall rating label (`Strong Buy`, `Moderate Buy`, `Hold`, etc.).
- **📊 12-Month Price Targets:** Average price target, high target, low target, and computed upside/downside percentage from current live price.
- **💼 Named Analyst Ratings:** Top Wall Street analysts, their star ratings, firm affiliation (Morgan Stanley, Goldman Sachs, etc.), and recent upgrade/downgrade actions.
- **🕵️ Corporate Insider Transactions:** Recent insider buys/sales with officer title, dollar amount, share count, and direct SEC filing links.
- **📰 Sentiment & Valuation:** Blogger sentiment (bullish/bearish ratio), P/E ratio, EPS, dividend yield, and market cap.

***

### 📥 Input Parameters

| Field | Type | Description | Default |
|---|---|---|---|
| `tickers` | Array of Strings | Stock ticker symbols to look up. | `["AAPL", "NVDA", "TSLA"]` |
| `proxyConfiguration` | Object | Optional Apify Proxy configuration. | `{"useApifyProxy": false}` |

#### Example Input

```json
{
  "tickers": ["AAPL", "NVDA", "TSLA", "MSFT", "AMZN"],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

***

### 📤 Output Format

Each run produces clean structured records in the default dataset:

```json
{
  "id": "tipranks:NVDA",
  "ticker": "NVDA",
  "company_name": "Nvidia",
  "current_price": 220.92,
  "currency": "USD",
  "market": "NASDAQ",
  "sector": "TECHNOLOGY",
  "market_cap": "5,412.54B",
  "pe_ratio": 28.744,
  "eps": 7.68,
  "smart_score": 8,
  "consensus_rating": "Strong Buy",
  "analyst_buy_count": 33,
  "analyst_hold_count": 0,
  "analyst_sell_count": 0,
  "analyst_total_count": 33,
  "price_target_average": 324.17,
  "price_target_high": 465.0,
  "price_target_low": 275.0,
  "price_target_upside_pct": 46.74,
  "blogger_bullish_pct": 0.88,
  "blogger_bearish_pct": 0.12,
  "recent_analyst_ratings": [
    {
      "analyst_name": "Timothy Arcuri",
      "firm": "UBS",
      "star_rating": 5.0,
      "action": "Reiterate",
      "price_target": 340.0
    }
  ],
  "recent_insider_transactions": [
    {
      "name": "Timothy S. Teter",
      "officer_title": "EVP, GC and Sec",
      "action": "Informative Sell",
      "amount_usd": 6786337.15,
      "shares": 30000
    }
  ],
  "tipranks_url": "https://www.tipranks.com/stocks/nvda",
  "scraped_at": "2026-10-14T19:50:24Z"
}
```

***

### 💡 Use Cases

- **Quantitative Stock Screening:** Screen tickers with high Smart Scores (8–10) and over +25% upside targets.
- **Hedge Fund & Retail Analytics:** Combine Wall Street sentiment with insider trading signals for algorithmic trading.
- **Financial Dashboards & Newsletters:** Embed price target spreads and analyst consensus in investor reports.

# Actor input Schema

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

List of stock ticker symbols (e.g. AAPL, NVDA, TSLA, MSFT, AMZN, GOOGL).

## `proxyConfiguration` (type: `object`):

Proxy configuration. Residential proxy recommended to reliably fetch TipRanks stock signals from cloud.

## Actor input object example

```json
{
  "tickers": [
    "AAPL",
    "NVDA",
    "TSLA"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `stocks` (type: `string`):

One row per ticker: Smart Score, consensus, price targets, analyst ratings, and insider trades.

# 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",
        "NVDA",
        "TSLA"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("axery/tipranks-stock-signals").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",
        "NVDA",
        "TSLA",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("axery/tipranks-stock-signals").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 '{
  "tickers": [
    "AAPL",
    "NVDA",
    "TSLA"
  ]
}' |
apify call axery/tipranks-stock-signals --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,axery/tipranks-stock-signals"
        }
    }
}
```

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/wPpEl3G9ZPVLQS5kT/builds/iuFLegJtmv8iMtUYX/openapi.json