# Financial Times Scraper — Markets, Global Economy & Companies (`axery/financial-times-scraper`) Actor

Scrape latest news, market updates, and economic analysis from the Financial Times (ft.com). Filter by section (Markets, Tech, World, Companies) and keywords. Fast, lightweight, and structured.

- **URL**: https://apify.com/axery/financial-times-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 $1.80 / 1,000 financial times 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

## Financial Times Scraper (FT.com) — News, Markets & Companies

Extract structured real-time news, market insights, and macroeconomic analysis from the **Financial Times** ([ft.com](https://www.ft.com)).

Designed specifically for financial analysts, algorithmic traders, corporate strategists, and researchers who require reliable, low-latency financial intelligence without dealing with complex browser automation or rate limits.

***

### Features

- **Multi-Section Coverage**: Scrape across key financial desks:
  - **Markets**: Equities, bonds, commodities, currencies, and central bank commentary.
  - **Companies**: Corporate earnings, M\&A activity, private equity, and executive changes.
  - **Technology**: Big Tech, AI breakthroughs, venture capital, and digital disruption.
  - **Global Economy**: Macro trends, trade policies, inflation reports, and GDP data.
  - **Opinion & Lex**: High-level editorial commentary and FT’s flagship Lex column.
- **Keyword Filtering**: Filter articles by specific companies, tickers, or themes (e.g. *Nvidia*, *Federal Reserve*, *OPEC*, *Semiconductors*).
- **Incremental Crawling**: Built-in state management via Apify Key-Value Store ensures subsequent runs only return newly published stories.
- **Fast & Cost-Effective**: Lightweight HTTP engine running on minimal RAM (256 MB – 512 MB). No expensive residential proxies required.

***

### Input Configuration

| Field | Type | Default | Description |
| :--- | :---: | :---: | :--- |
| `sections` | Array | `["markets", "companies", "world", "technology", "global-economy"]` | Sections to scrape from FT.com. |
| `maxItems` | Integer | `100` | Maximum number of articles to retrieve. |
| `keywords` | Array | `[]` | Optional list of keyword filters. |
| `incremental`| Boolean | `false` | When `true`, deduplicates against previously scraped runs. |
| `proxyConfiguration` | Object | `{ "useApifyProxy": false }` | Optional proxy settings. Datacenter proxies work seamlessly. |

***

### Output Dataset Schema

Each article record in the default dataset contains:

```json
{
  "id": "e4a2c918f723b105",
  "title": "Global bond sell-off reignites as oil jumps to $107",
  "url": "https://www.ft.com/content/1572d41a-3e41-4560-84cf-2321850d53c7",
  "section": "markets",
  "published_at": "Thu, 10 Sep 2026 16:18:04 GMT",
  "summary": "Investors dump government debt across Europe and the US as energy costs fuel persistent inflation concerns.",
  "author": "Financial Times Editorial Staff",
  "source": "Financial Times",
  "scraped_at": "2026-09-10T16:25:30.123456+00:00"
}
```

***

### Pricing & Monetization

- **Model**: Pay-Per-Event (PPE)
- **Actor Start**: `$0.005` (Fixed container startup fee)
- **Per Result Item**: `$0.0018` per article saved to dataset

***

### Local Development & Testing

```bash
python test_local.py --sections markets technology --max 25 --out sample_output.json
```

# Actor input Schema

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

Select sections of the Financial Times to extract articles from.

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

Maximum number of articles to return across all selected sections.

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

Optional list of keywords to filter articles by title or summary (case-insensitive). E.g. 'Nvidia', 'Fed', 'Inflation'.

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

If enabled, remembers previously scraped article URLs and only yields newly published articles on subsequent runs.

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

Optional proxy configuration. Standard datacenter proxies are fully supported.

## Actor input object example

```json
{
  "sections": [
    "markets",
    "companies",
    "world",
    "technology",
    "global-economy"
  ],
  "maxItems": 100,
  "keywords": [],
  "incremental": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `articles` (type: `string`):

One row per article: title, url, section, published timestamp, summary, author, and source attribution.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("axery/financial-times-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("axery/financial-times-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 '{}' |
apify call axery/financial-times-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,axery/financial-times-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/GCqYLy98cQX1PeJVh/builds/GBQ67yFnmAB9fpwcr/openapi.json