# Tipranks Scraper (`saswave/tipranks-scraper`) Actor

Tipranks scraper extract data about stock, analyst or screener page.
Collect a wide range of financial data, trending stock and more

- **URL**: https://apify.com/saswave/tipranks-scraper.md
- **Developed by:** [SASWAVE](https://apify.com/saswave) (community)
- **Categories:** News, Social media, Automation
- **Features:** Limited permissions
- **Stats:** 50 total users, 4 monthly users, 100.0% runs succeeded, 5 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.80 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Scraper

The Tipranks Scraper extracts financial data from the Tipranks platform.

It can collect stock information, analyst insights, and screener results at scale.

### 🔹 Features

Stock Data

Ticker symbol, company name, exchange.

Current price, price target, rating consensus.

Analyst ratings: buy/hold/sell breakdown.

Earnings estimates and revenue projections.

Market trends and performance metrics.

Analyst Data

Analyst name, firm, and track record.

Success rate and average return.

Stock recommendations.

Screener Data

Lists of trending or top-rated stocks.

Filtered by performance, risk, or analyst ratings.

Sector, market cap, and regional filters.

Additional Info

Financial news related to the stock.

Charts and historical performance.

Optional: export for further analysis (CSV/JSON)

### 🔹 Use Cases

Monitor trending stocks and their analyst ratings.

Aggregate analyst insights for portfolio decisions.

Track price targets and performance predictions.

Feed investment algorithms with up-to-date data.

Combine with other scrapers (Stocktwits, Yahoo Finance) for enriched financial dashboards.

### 🛟 SUPPORT

Share your runs with the developer team and create issues on error to help us improve actor quality.

You might discover edge case we didn't test yet

We stay available anytime

# Actor input Schema

## `method` (type: `string`):

Choose method depending on input section and what input to use for the run start

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

Provide Stock ticker when selecting method 'stock'

## `stock_feature` (type: `string`):

Select feature to extract data from

## `etfs` (type: `array`):

Provide ETF ticker when selecting method 'stock'

## `etf_feature` (type: `string`):

Select feature to extract data from

## `analyst_url` (type: `string`):

Extract profile informations and ratings

## `feature` (type: `string`):

Select feature to extract data from

## Actor input object example

```json
{
  "method": "stock",
  "tickers": [
    "pltr"
  ],
  "stock_feature": "stock-analysis",
  "etfs": [
    "qqq"
  ],
  "etf_feature": "etf-analysis",
  "analyst_url": "https://www.tipranks.com/experts/analysts/stephen-bersey",
  "feature": "trending-stocks"
}
```

# Actor output Schema

## `results` (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 = {
    "method": "stock",
    "tickers": [
        "pltr"
    ],
    "stock_feature": "stock-analysis",
    "etfs": [
        "qqq"
    ],
    "etf_feature": "etf-analysis",
    "analyst_url": "https://www.tipranks.com/experts/analysts/stephen-bersey",
    "feature": "trending-stocks"
};

// Run the Actor and wait for it to finish
const run = await client.actor("saswave/tipranks-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 = {
    "method": "stock",
    "tickers": ["pltr"],
    "stock_feature": "stock-analysis",
    "etfs": ["qqq"],
    "etf_feature": "etf-analysis",
    "analyst_url": "https://www.tipranks.com/experts/analysts/stephen-bersey",
    "feature": "trending-stocks",
}

# Run the Actor and wait for it to finish
run = client.actor("saswave/tipranks-scraper").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 '{
  "method": "stock",
  "tickers": [
    "pltr"
  ],
  "stock_feature": "stock-analysis",
  "etfs": [
    "qqq"
  ],
  "etf_feature": "etf-analysis",
  "analyst_url": "https://www.tipranks.com/experts/analysts/stephen-bersey",
  "feature": "trending-stocks"
}' |
apify call saswave/tipranks-scraper --silent --output-dataset

```

## MCP server setup

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

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/Os8rTQNscWGZJAdWW/builds/6RDfOsKTz3piZVY8y/openapi.json