# Financial Times Articles Scraper (`parseforge/ft-com-articles-scraper`) Actor

Collects the latest Financial Times articles with headline, URL, and publication date. Returns each article as one flat row.

- **URL**: https://apify.com/parseforge/ft-com-articles-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** News
- **Features:** Limited permissions
- **Stats:** 8 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $19.00 / 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

[![ParseForge](https://raw.githubusercontent.com/ParseForge/apify-assets/main/banner-v4.webp)](https://apify.com/parseforge?fpr=vmoqkp)

### Financial Times Articles Scraper

**Scrape Financial Times articles, up to a million per run.** Collect the latest articles with headline, URL, and publication date. Export to CSV, JSON, Excel, or XML.

The Financial Times paywall blocks programmatic access to headlines and metadata at scale. This actor reads the publicly visible article list directly, collecting each article's title, link, and timestamp in one pass. No API key or login needed.

| Who uses it | What they scrape Financial Times for |
|---|---|
| Market researchers | Track which topics the Financial Times is prioritizing each day. |
| PR professionals | Monitor coverage of a client or competitor across the FT. |
| Data analysts | Build a time-series dataset of FT article metadata for trend analysis. |

### What it does

This Actor collects the latest Financial Times articles and returns each one as a flat row with its headline, URL, and publication date.

- 📰 **Latest articles:** Collects the most recent articles published on FT.com.
- 🔢 **Configurable volume:** Set the exact number of articles to scrape, from one to one million per run.
- 📅 **Publication dates:** Each record includes the article's publication timestamp.
- 📎 **Direct URLs:** Every result row contains the link back to the original FT article.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

### What you can do with Financial Times data

**📈 Monitor daily FT coverage.**

A market analyst runs the actor each morning to list the top 50 articles and identify which sectors lead the news cycle.

**🔍 Track mentions over time.**

A PR manager scrapes 500 articles every weekday and filters for a brand name to measure share of voice in the Financial Times.

**📊 Feed a news database.**

A data engineer pulls 10,000 FT headlines weekly into a data warehouse to power a financial news recommendation system.

### Why choose this scraper

| | What you get |
|---|---|
| **No paywall login** | Reads the public article listing so no FT subscription is required. |
| **Clean structured output** | Each article is one row with headline, URL, and date fixed across every run. |
| **Fast single-page collection** | Grabs up to a million article records from the feed in one run. |

### How it compares

No other Store actor targets Financial Times the same way, so the honest comparison is with the alternatives teams actually weigh.

| | Financial Times Articles Scraper | Build it in-house | By hand |
|---|---|---|---|
| Setup | Run it now, zero config | Days of engineering | None, but hours per pull |
| When Financial Times changes | Maintained for you | You fix it | You re-learn the page |
| Proxies, retries, anti-bot | Built in | Your problem | Browser only |
| Output | Fixed JSON schema, CSV/Excel export | Whatever you build | Copy-paste |
| Cost | Pay per result | Engineering time | Analyst hours |

### Configure the run

Set the maximum number of articles to scrape, and the actor returns the most recent matches. The Input tab lists every parameter.

A first run with the defaults:

```json
{
 "maxItems": 10
}
```

A larger pull:

```json
{
 "maxItems": 200
}
```

### Pricing

Pay-per-result: **$0.021 per result** collected. You pay only for the results written to your dataset.

| Results collected | Approximate cost |
|---|---|
| 100 results | $2.10 |
| 1,000 results | $21.00 |
| 10,000 results | $210.00 |

New Apify accounts start with $5 in free credit.

### Free users

Free-plan runs return up to 10 results as a preview. [Upgrade your Apify plan](https://console.apify.com/sign-up?fpr=vmoqkp) to collect up to 1,000,000 results per run.

### Run it

1. [Create a free Apify account with $5 in credit](https://console.apify.com/sign-up?fpr=vmoqkp).
2. Open the [Financial Times Articles Scraper](https://apify.com/parseforge/ft-com-articles-scraper?fpr=vmoqkp).
3. Set your inputs and any filters, then click **Start**.
4. Export the results as CSV, Excel, JSON, or XML from the **Dataset** tab.

Run it programmatically through the [Apify API](https://docs.apify.com/api/v2) (`run-sync-get-dataset-items`) or the [ApifyClient](https://docs.apify.com/api/client/js) for JavaScript and Python.

### Use with AI agents (MCP)

Give an AI agent live access to Financial Times through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

```bash
claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/ft-com-articles-scraper"
```

Then prompt it in plain language to run the scraper and read back the results.

### Troubleshooting

**Why am I getting no results?**

The page might load differently due to a geo-restriction or a temporary change. Try increasing the timeout in the run settings and check that you can access the Financial Times from the actor's proxy location.

**The actor stopped before reaching my maxItems target.**

The actor collected all available articles visible on the feed. If you need more, schedule repeated runs over time to gather articles as they are published.

**I see many partial or blank rows in my dataset.**

Occasional blank rows happen if the page structure shifts. Re-run the actor; if the problem persists, report the actor's last run ID to the developer.

**Run speed is slower than expected.**

When you request a very large number of articles the initial page load may be heavy. Reduce maxItems to the number you need if speed is critical, or let the run complete as it catches all records.

### FAQ

| Question | Answer |
|---|---|
| Does this actor bypass the Financial Times paywall? | No. It only collects the article headline, URL, and publication date from the publicly visible article list. Full body text is not behind a login and not collected. |
| Can I get the full article body? | This actor returns only headline, link, and timestamp. The full text is behind the FT paywall and is not collected. |
| How many articles can I scrape in one run? | You can set the maximum from 1 up to 1,000,000 articles. The actor stops early if there are fewer new articles available. |
| What format does the output come in? | You can export the dataset as CSV, JSON, Excel, or XML from the Apify run console. |
| Does it include article authors? | Author names are not part of the standard output fields. |
| Is the data in real time? | The actor fetches the currently available article list, which reflects the latest published articles on FT.com at the time of the run. |
| Can I scrape articles by topic or section like 'Markets' or 'Opinion'? | This actor targets the main latest-articles feed. Topic filtering is not built into inputs, but you can filter results by URL pattern after export. |
| Do I need an FT account or API key? | No. The actor reads the public article listing directly and requires no authentication or API key. |
| Can I schedule this Actor to run daily? | Yes. Use Apify's built-in scheduler to run the actor automatically every day and collect the latest headlines. |
| What happens if the Financial Times changes its website? | We monitor the target page and update the actor when needed to keep the field mapping consistent. |

### Related actors

Browse the full [ParseForge collection](https://apify.com/parseforge?fpr=vmoqkp) for more scrapers.

🆘 **Need help?** Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ **Disclaimer.** This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by The Financial Times Ltd. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.

# Actor input Schema

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

How many articles to collect per run.

## Actor input object example

```json
{
  "maxItems": 10
}
```

# 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 = {
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/ft-com-articles-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 = { "maxItems": 10 }

# Run the Actor and wait for it to finish
run = client.actor("parseforge/ft-com-articles-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 '{
  "maxItems": 10
}' |
apify call parseforge/ft-com-articles-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,parseforge/ft-com-articles-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/vAtJneDwRnkKQPSFR/builds/agZ09wClXd6wm28yI/openapi.json