# Fortune Magazine Scraper - Fortune 500, Finance & Tech (`axery/fortune-scraper`) Actor

Fast and lightweight scraper for Fortune Magazine. Extract real-time business, finance, Fortune 500, big tech, leadership insights, and full article text with zero blocking.

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

## Pricing

from $2.00 / 1,000 fortune magazine articles

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## Fortune Magazine News Scraper

Fast, reliable, and lightweight Apify Actor to scrape business news, leadership insights, Fortune 500 company updates, and big tech reporting from **Fortune Magazine**.

***

### 🚀 Key Features

- **Executive & Financial Focus**: Curated coverage on Finance & Banking, Big Tech & AI, Leadership, and Personal Finance & Investing.
- **Full Article Text Extraction**: Automatically extracts clean paragraph text, author metadata, and word count.
- **Incremental Deduplication**: Preserves seen article URLs in Apify Key-Value store to prevent duplicate records on recurring runs.
- **Keyword Filtering**: Target specific topics or executives (e.g., `["AI", "semiconductor", "merger"]`).
- **Pure HTTP Performance**: Runs in under 3 seconds using `curl_cffi` TLS impersonation.

***

### 📥 Input Configuration

| Parameter | Type | Default | Description |
|---|---|---|---|
| `sections` | Array | `["latest", "finance", "big-tech"]` | Fortune sections to extract. |
| `maxItems` | Integer | `50` | Maximum number of articles. |
| `keywords` | Array | `[]` | Optional keyword filters. |
| `includeArticleText` | Boolean | `true` | Fetch full article paragraph text. |
| `incremental` | Boolean | `false` | Avoid re-pushing previously seen articles. |
| `proxyConfiguration` | Object | Direct | Optional proxy configuration. |

***

### 📤 Output Data Schema

```json
{
  "title": "Chinese car exports are increasingly flooding the world despite all of the west's efforts",
  "url": "https://fortune.com/2026/09/10/china-ev-sales-global-markets/",
  "section": "finance",
  "published_at": null,
  "summary": "Carmakers are expanding in Europe, Latin America, Africa and Southeast Asia as they face weak demand at home...",
  "author": "Chan Ho-Him",
  "article_text": "China’s passenger car exports in the first eight months of this year already surpassed last year’s total...",
  "word_count": 520,
  "scraped_at": "2026-09-10T17:09:48.636000+00:00"
}
```

# Actor input Schema

## `sections` (type: `array`):

Select sections to extract.

## `maxItems` (type: `integer`):

Maximum number of articles to extract.

## `keywords` (type: `array`):

Optional keyword filters.

## `includeArticleText` (type: `boolean`):

If enabled, fetches the full article body text and word count.

## `incremental` (type: `boolean`):

When enabled, avoids re-pushing articles seen in previous runs.

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

Optional proxy configuration.

## Actor input object example

```json
{
  "sections": [
    "latest",
    "finance",
    "big-tech"
  ],
  "maxItems": 50,
  "includeArticleText": true,
  "incremental": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset containing output 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 = {
    "sections": [
        "latest",
        "finance",
        "big-tech"
    ],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("axery/fortune-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 = {
    "sections": [
        "latest",
        "finance",
        "big-tech",
    ],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("axery/fortune-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 '{
  "sections": [
    "latest",
    "finance",
    "big-tech"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call axery/fortune-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,axery/fortune-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/fqMbVSRydfzMuS9d9/builds/MQL4LtejFy2OIkdJa/openapi.json