# Reuters Headlines Scraper — News with Stock Tickers (`axery/reuters-headlines-tickers`) Actor

Scrape Reuters headlines with timestamps, images, locale, and the stock tickers each article is tagged with. Filter by ticker or language. No login, no API key.

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

## Pricing

from $1.25 / 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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Reuters Headlines & Stock Ticker Feed

Scrapes Reuters headlines with publication timestamps, images, language, and — for financial stories — **the stock tickers each article is tagged with**. Filter by ticker or language. No login, no API key.

Useful for financial news monitoring, ticker-linked sentiment research, and multilingual media tracking.

### What makes this different

**Stock tickers, straight from Reuters' own tagging.** Every financial article arrives with the tickers Reuters editorially attached to it (`NVDA.O`, `.FTSE`, `.GDAXI`) as a real array, not a comma-joined string you'd have to split. That turns "find today's Reuters coverage of NVIDIA" into a single input field instead of keyword-matching headlines and hoping.

**Six languages from one feed.** Reuters publishes the same wire in English, German, French, Italian, Spanish and Portuguese. Each row carries its language, so you can either monitor one market or compare how the same story is framed across them.

**Language detected from the URL, not the feed's own field.** The feed reports `en` as the language for *every* article regardless of what language it's actually in — a German article and an English one both claim `en`. The URL path prefix is the only reliable signal, so that's what this Actor uses. Trusting the feed's own field would tag the whole dataset as English.

**`has_tickers` as a one-field filter** for separating financial coverage from general news, without inspecting the ticker array on every row.

### Why this works when reuters.com doesn't

Reuters article pages reject anonymous clients outright. This Actor doesn't read them — it reads Reuters' own **outbound syndication feed**, published on the Arc XP platform specifically for aggregators to consume, which returns headline, timestamp, image, caption and tickers inline. The feed *is* the data source, not a pointer to a page.

The practical consequence: you get headline-level data (title, timing, tickers, image), not article body text. `url` is there for attribution and human follow-up.

### Input

| Field | Type | Notes |
|---|---|---|
| `maxItems` | integer | Deduplicated across pages. `0` walks the full ~5,000-article archive. |
| `tickers` | array | Optional. Reuters notation — `NVDA.O`, `.FTSE`. |
| `locales` | array | Optional. `en`, `de`, `fr`, `it`, `es`, `pt`. |
| `proxyConfiguration` | object | Defaults to Residential. |

### Output

```json
{
  "article_id": "reuters.com:gold-slips-on-profit-taking-2026-08-25",
  "title": "Gold slips on profit-taking after rally to over three-month high",
  "published_at": "2026-08-25T11:41:23Z",
  "locale": "en",
  "stock_tickers": ["NVDA.O", ".FTSE"],
  "has_tickers": true,
  "image_url": "https://www.reuters.com/resizer/v2/...",
  "url": "https://www.reuters.com/markets/gold-slips-..."
}
```

Filters are applied after each page is fetched, so a narrow ticker filter reads more pages to fill your requested count. Each run also writes a `RUN_COVERAGE` record to the key-value store with the filters applied and how many articles came back.

### Local development

```bash
pip install -r requirements.txt
python test_local.py --max 120 --out sample_output.json
python test_local.py --max 25 --locale en
python test_local.py --max 10 --tickers NVDA.O
```

`sample_output.json` is real output from a live 120-article run across six languages.

# Actor input Schema

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

Cap on headlines returned, deduplicated across pages. `0` walks the full archive Reuters exposes (roughly 5,000 recent articles).

## `tickers` (type: `array`):

Keep only articles tagged with any of these tickers, in Reuters' own notation - e.g. `NVDA.O` for Nasdaq listings, `.FTSE` / `.GDAXI` for indices. Run once without a filter to discover the tickers currently in circulation.

## `locales` (type: `array`):

Keep only articles in these languages: en, de, fr, it, es, pt. Reuters publishes the same feed across all of them.

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

Apify Proxy settings. Defaults to Residential - Reuters article pages themselves reject anonymous clients outright, so a clean IP matters for the feed endpoint too.

## Actor input object example

```json
{
  "maxItems": 100,
  "tickers": [
    "NVDA.O"
  ],
  "locales": [
    "en"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `headlines` (type: `string`):

One row per article: title, timestamp, locale, image, and tagged stock tickers.

# 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": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("axery/reuters-headlines-tickers").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": 100 }

# Run the Actor and wait for it to finish
run = client.actor("axery/reuters-headlines-tickers").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": 100
}' |
apify call axery/reuters-headlines-tickers --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,axery/reuters-headlines-tickers"
        }
    }
}

```

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/3NrHAV2b1X5H9G3Zh/builds/YaWrVNiCjIhddvNfG/openapi.json