# Simply Wall Street Scraper (`saswave/simply-wall-street-scraper`) Actor

Extract data about a public traded company with simplywall.st scraper. Get stock ticker information.
PE, PB, PS, FCF, Employees, Insiders buying selling, valuation score, analyst forecasts, company peers , competitors, board members  and more ...

- **URL**: https://apify.com/saswave/simply-wall-street-scraper.md
- **Developed by:** [SASWAVE](https://apify.com/saswave) (community)
- **Categories:** Automation, News
- **Stats:** 82 total users, 4 monthly users, 99.4% runs succeeded, 8 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.90 / 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

### Simply Wall Street Scraper – Public Company Data Extraction

The Simply Wall Street Scraper is a tool to extract detailed financial and corporate data for publicly traded companies.

It can be used for investment research, financial analysis, competitor benchmarking, and portfolio tracking.

It collects a wide range of company data, including stock metrics, valuation, financial ratios, company leadership, and insider trading activity.

### 🔹 Key Data Extracted

Company Basics

Name & Legal Name: e.g., Apple / Apple Inc.

Ticker Symbol: e.g., AAPL

Exchange & Country: e.g., Nasdaq, US

Website URL: e.g., www.apple.com

Address & Year Founded: e.g., One Apple Park Way, 1976

Employees: e.g., 164,000

Industry: Primary, secondary, and tertiary classifications

Status: Operating, bankrupt, or inactive

Market & Valuation Data

Share Price & Market Cap

Price-to-Earnings (PE), Price-to-Book (PB), Price-to-Sales (PS)

PEG Ratio

Forward PE & Revenue Multiples

Intrinsic Value / Discount

Dividend Yield & Forecast

Valuation Scores: Value, Future, Past, Health, Dividend

Financial Performance

Revenue & Net Income: Current and projected

Annual Growth Rates: 1-year, 3-year, 5-year

ROE (Return on Equity) / ROA (Return on Assets)

EPS (Earnings per Share)

Debt-to-Equity Ratio

Corporate Governance & Leadership

CEO / Board Members: Names, biographies, tenure, compensation

Insider Activity: Buying and selling of shares

Employee Counts & Tenure

Stock Insights & Analysts

Analyst Price Targets & Count

Peers & Competitors: Financial and valuation comparisons

Forecasted Growth & Metrics

Statements & Warnings

Insights such as overvalued, undervalued, financial health warnings

Comparison of preferred multiples vs. industry

### 🔹 Use Cases

Investment Research – Quickly analyze companies’ financial health and valuation metrics.

Competitive Benchmarking – Compare companies against peers in the same industry.

Portfolio Management – Track stock performance, analyst forecasts, and insider activity.

Financial Analytics Dashboards – Feed structured company data for dashboards or AI models.

M\&A / Corporate Analysis – Evaluate potential acquisition targets or partners.

### Output

```json
{
  "id": "743F0744-8987-4339-B565-DEE3A93E9934",
  "name": "Apple",
  "tickerSymbol": "AAPL",
  "uniqueSymbol": "NasdaqGS:AAPL",
  "canonicalURL": "/stocks/us/tech/nasdaq-aapl/apple",
  "exchangeCountryISO": "US",
  "listingCurrencyISO": "USD",
  "isPrimaryListing": true,
  "analysisValue": {
    "priceTargetAnalystCount": 42,
    "marketCap": 3369468104930,
    "marketCapUSD": 3369468104930,
    "pe": 35.946361,
    "pb": 59.165375,
    "priceToSales": 8.616794,
    "return1yAbs": 0.243709,
    "return7d": -0.044944,
    "priceTarget": 241.96024,
    "lastSharePrice": 222.91
  },
  "analysisFuture": {
    "netIncome1Y": 110575.423795,
    "revenue1Y": 414157.933465,
    "netIncomeGrowth1Y": 0.17965,
    "revenueGrowth1Y": 0.05913,
    "forwardPe1Y": 30.264824,
    "forwardPriceToSales1Y": 8.135708,
    "netIncomeGrowthAnnual": 0.109279,
    "revenueGrowthAnnual": 0.068034
  },
  "country": "US",
  "score": {
    "value": 2,
    "future": 2,
    "past": 2,
    "health": 3,
    "dividend": 0
  },
  "peers": [
    {
      "companyId": "c78a5a43-0234-4436-88ba-98dc268a5ff2",
      "score": -1,
      "company": {
        "id": "C78A5A43-0234-4436-88BA-98DC268A5FF2",
        "name": "Alphabet",
        "tickerSymbol": "GOOGL",
        "uniqueSymbol": "NasdaqGS:GOOGL",
        "canonicalURL": "/stocks/us/media/nasdaq-googl/alphabet",
        "exchangeCountryISO": "US",
        "listingCurrencyISO": "USD",
        "isPrimaryListing": true,
        "primaryIndustry": {
          "id": "4300000"
        },
        "analysisValue": {
          "priceTargetAnalystCount": 48,
          "marketCap": 2104287130000,
          "marketCapUSD": 2104287130000,
          "pe": 22.242316,
          "pb": 6.675053,
          "priceToSales": 6.169502,
          "return1yAbs": 0.315086,
          "return7d": 0.027411,
          "priceTarget": 208.30729,
          "lastSharePrice": 171.29
        },
        "analysisFuture": {
          "netIncome1Y": 106813.888272,
          "revenue1Y": 379999.971983,
          "netIncomeGrowth1Y": 0.13308,
          "revenueGrowth1Y": 0.11811,
          "forwardPe1Y": 19.68391,
          "forwardPriceToSales1Y": 5.537598,
          "netIncomeGrowthAnnual": 0.107618,
          "revenueGrowthAnnual": 0.099424
        },
        "country": {
          "iso2": "US",
          "region": {
            "id": "NA",
            "name": "North America"
          }
        },
        "score": {
          "value": 5,
          "future": 3,
          "past": 6,
          "health": 5,
          "dividend": 0
        }
      }
    },
    ... // truncated for example
  ],
  "share_price": 222.91,
  "market_cap": 3369468.10493,
  "intrinsic_discount": 9.4786,
  "pe": 35.946361,
  "pb": 59.165375,
  "peg": 3.289401,
  "preferred_multiple": "pe",
  "preferred_multiple_reason": "isProfitable",
  "preferred_multiple_secondary": "ps",
  "preferred_relative_multiple_average_peer_value": 30.817241,
  "justified_preferred_multiple_ratio": 38.445322,
  "roe": 164.5935,
  "roa": 25.7326,
  "eps": 6.201184,
  "debt_equity": 1.872327,
  "dividend": {
    "current": 0.44860000000000005,
    "future": 0.4915,
    "upcoming": true,
    "ex_date": 1731024000000
  },
  "future": {
    "growth_1y": 0.20564,
    "growth_3y": 0.49146,
    "roe_1y": 184.2501,
    "roe_3y": 153.1864
  },
  "past": {
    "growth_1y": -0.7731,
    "growth_5y": 14.676900000000002
  },
  "analyst_count": 37,
  "insider_buying": 0,
  "show_new_valuation": true,
  "show_analyst_price_target": true,
  "show_new_apt_calc": true,
  "description": "Designs, manufactures, and markets smartphones, personal computers, tablets, wearables, and accessories worldwide.",
  "warning_type": 0,
  "industry": {
    "name": "Tech",
    "primary_id": 8100000,
    "secondary_id": 8120000,
    "tertiary_id": 9621091
  },
  "fund": false,
  "status": "Operating",
  "currency": "USD",
  "employees": 164000,
  "address": "One Apple Park Way, Cupertino, California, 95014, United States",
  "year_founded": 1976,
  "url": "www.apple.com",
  "logo_url": "/api/company/image/NasdaqGS:AAPL/logo",
  "cover_url": "/api/company/image/NasdaqGS:AAPL/cover",
  "cover_small_url": "/api/company/image/NasdaqGS:AAPL/cover_small",
  "ceo": {
    "name": "Timothy Cook",
    "age": 63,
    "url": "/api/person/image/169601"
  },
  "legal_name": "Apple Inc.",
  "sentence": "Mediocre balance sheet and slightly overvalued.",
  "statements": [
    {
      "name": "IsGoodValueComparingPreferredMultipleToIndustry",
      "title": "Price-To-Earnings vs Industry",
      "area": "Value",
      "type": "statements",
      "value": false,
      "severity": null,
      "description": "AAPL is expensive based on its Price-To-Earnings Ratio (35.9x) compared to the Global Tech industry average (21.4x).",
      "state": null
    },
    ... // truncated for example
  ],
  "primaryIndustryId": "8100000",
  "peoples": [
    {
      "id": "169600",
      "salutation": "Tim",
      "firstName": "Timothy",
      "lastName": "Cook",
      "age": 63,
      "yearBorn": 1961,
      "shortTitle": "CEO & Director",
      "compensation": 63209845,
      "leaderTenure": 13.25,
      "managementTenure": 13.25,
      "boardTenure": 13.25,
      "proTitle": "Chief Executive Officer",
      "biography": "Mr. Timothy D. Cook, also known as Tim, has been the Chief Executive Officer of Apple Inc. since August 24, 2011. Mr. Cook served as the Chief Operating Officer of Apple Inc., from October 14, 2005 to August 24, 2011. He was responsible for all of Apple’s worldwide sales and operations, including end-to-end management of Apple’s supply chain, sales activities and service and support in all markets and countries. He also Headed Apple’s Macintosh division and played a key role in the continued development of strategic reseller and supplier relationships, ensuring flexibility in response to an increasingly demanding marketplace. Mr. Cook served as an Executive Vice President of Worldwide Sales & Operations of Apple Inc. from 2002 to 2005. He joined Apple in 1998 and served as a Senior Vice President of Worldwide Operations, Sales, Service and Support from 2000 to 2002. Mr. Cook served as Senior Vice President of Worldwide Operations from 1998 to 2000. He served as Vice President of Corporate Materials of Compaq Computer Corporation from 1997 to 1998 and was responsible for procuring and managing its product inventory. Before his work at Compaq Computer Corporation, he served as Chief Operating Officer of the Reseller Division of Intelligent Electronics. Before his work at Compaq, Mr. Cook served in the positions of Senior Vice President Fulfillment and Chief Operating Officer of the Reseller Division at Intelligent Electronics from 1994 to 1997. Mr. Cook also worked for International Business Machines Corporation from 1983 to 1994. Mr. Cook also spent significant years with IBM, served as Director of North American Fulfillment, where he led manufacturing and distribution functions for IBM’s Personal Computer Company in North and Latin America. Mr. Cook serves as a Member of the Board of Directors of the National Football Foundation & College Hall of Fame, Inc. Mr. Cook serves on the Board of Trustees for Duke University. He serves on the Leadership Council of Malala Fund. He has been a Director of Apple Inc. since August 24, 2011. He has been a Lead Independent Director of Nike, Inc. since November 2005 and has been its Lead Independent Director since June 30, 2016. He serves as a Director of Robert F. Kennedy Center for Justice and Human Rights. Mr. Cook has executive experience and knowledge of technology, cyber security, marketing and international business. Mr. Cook studied an MBA from Duke University, where he was a Fuqua Scholar and a Bachelor of Science Degree in Industrial Engineering from Auburn University.",
      "hasCEO": true,
      "percentSharesOutstanding": "0.02157",
      "sharesHeld": "3280180",
      "startDate": 1312156800000
    },
    ... // truncated for example
  ],
  "raw": {
    ... // big chunck of data with price and valuation history
  }
}
```

### 🛟 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

## `urls` (type: `array`):

Simply wall street url, ex: https://simplywall.st/stocks/us/tech/nasdaq-aapl/apple

Ticker, ex: NYSE:BABA

## `strict_match` (type: `boolean`):

If TICKER provided as input and strict match set to True it will only return the matched company. If false it will return for up to 5 companies close to the search

## `get_raw` (type: `boolean`):

Raw data is big, higher storage cost but access to price and valuations history

## `get_statements` (type: `boolean`):

Statements data can be big, higher storage cost but access to more details about the company

## `get_peoples` (type: `boolean`):

People data can be big, higher storage cost but access to complementary informations

## Actor input object example

```json
{
  "urls": [
    "https://simplywall.st/stocks/us/tech/nasdaq-aapl/apple"
  ],
  "strict_match": false,
  "get_raw": false,
  "get_statements": false,
  "get_peoples": false
}
```

# 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 = {
    "urls": [
        "https://simplywall.st/stocks/us/tech/nasdaq-aapl/apple"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("saswave/simply-wall-street-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 = { "urls": ["https://simplywall.st/stocks/us/tech/nasdaq-aapl/apple"] }

# Run the Actor and wait for it to finish
run = client.actor("saswave/simply-wall-street-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 '{
  "urls": [
    "https://simplywall.st/stocks/us/tech/nasdaq-aapl/apple"
  ]
}' |
apify call saswave/simply-wall-street-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,saswave/simply-wall-street-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/77OrQgIynREhE4srk/builds/HWiC7F9zd2cTVhoaM/openapi.json