Financial Times Articles Scraper
Pricing
from $19.00 / 1,000 results
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Financial Times Articles Scraper
Collects the latest Financial Times articles with headline, URL, and publication date. Returns each article as one flat row.
Financial Times Articles Scraper
Pricing
from $19.00 / 1,000 results
Collects the latest Financial Times articles with headline, URL, and publication date. Returns each article as one flat row.
You can access the Financial Times Articles Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "maxItems": 10 }9
10# Run the Actor and wait for it to finish11run = client.actor("parseforge/ft-com-articles-scraper").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Financial Times Articles Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: