Financial Times Scraper — Markets, Global Economy & Companies avatar

Financial Times Scraper — Markets, Global Economy & Companies

Pricing

from $1.80 / 1,000 financial times articles

Go to Apify Store
Financial Times Scraper — Markets, Global Economy & Companies

Financial Times Scraper — Markets, Global Economy & Companies

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.

Pricing

from $1.80 / 1,000 financial times articles

Rating

0.0

(0)

Developer

Axery

Axery

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

10 days ago

Last modified

Categories

Share

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

Extract structured real-time news, market insights, and macroeconomic analysis from the Financial Times (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

FieldTypeDefaultDescription
sectionsArray["markets", "companies", "world", "technology", "global-economy"]Sections to scrape from FT.com.
maxItemsInteger100Maximum number of articles to retrieve.
keywordsArray[]Optional list of keyword filters.
incrementalBooleanfalseWhen true, deduplicates against previously scraped runs.
proxyConfigurationObject{ "useApifyProxy": false }Optional proxy settings. Datacenter proxies work seamlessly.

Output Dataset Schema

Each article record in the default dataset contains:

{
"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

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