Yahoo Finance Scraper

Search Yahoo Finance and get clean, de-duplicated ticker JSON with live prices, exchange, sector and related news links. One click, no required fields, no LLM.

What it does

Search any company, ETF or asset on Yahoo Finance and get structured JSON back: matching tickers with live prices, exchange, sector/industry, day range and currency — plus related news headlines with links. Two modes: free-text search (nvidia) or comma-separated exact tickers (NVDA,AAPL) for precise portfolio lookups. Built for dashboards, alerts, spreadsheets and AI agents that need market context without a paid market-data subscription.

Why this one:

• Live prices without a market-data subscription
• Exact-ticker mode filters out look-alike symbols (NVDA stays NVDA, not NVDL)
• Related news included with every search
• No LLM anywhere — deterministic output, predictable costs, no hallucinated fields
• Clean by default — canonical URLs (tracking parameters stripped), parsed numbers, merged duplicates

Quick start (no code)

1. Click Try for free / Start — every field has a working default, nothing is required.
2. (Optional) change query to what you need.
3. Open the Dataset tab when the run finishes → export as JSON, CSV or Excel.

Input

Field	Required	Default	Description
query	no	nvidia	Company/asset search term, or comma-separated exact tickers (NVDA,AAPL) for precise lookups with live prices.
maxResults	no	20	Maximum clean results (capped at 500)
enrich	no	false	Deterministic enrichment per record — see below
monitor	no	false	Compare with the previous run, flag NEW records only

Example input:

{
  "query": "NVDA,AAPL",
  "maxResults": 10
}

Output

Real example record (from a live run):

{
  "id": "NVDA",
  "title": "NVIDIA Corporation",
  "url": "https://finance.yahoo.com/quote/NVDA",
  "price": 207.795,
  "price_text": "207.795",
  "location": "Technology",
  "seller": "NASDAQ",
  "description": "EQUITY / Semiconductors",
  "currency": "USD",
  "day_high": 210.869,
  "day_low": 205.96
}

The final _summary row carries run totals (total_clean, deduped, enriched); in monitor mode a _changes row lists keys new since the last run.

Field reference

Field	Meaning
id	Ticker symbol
title	Company / asset name
price / currency	Live regular-market price and its currency
day_high / day_low	Today's range
seller	Exchange (e.g. NASDAQ)
location	Sector
description	Quote type / industry
News rows	Related headlines: title, url, publisher, related tickers
price / price_text	Parsed numeric value + original text, when the source publishes one
completeness	0–1 filled-fields score (with enrich)

Use cases

• Portfolio sheets — refresh live prices for your ticker list on a schedule, straight into Google Sheets via API.
• Alerting — combine with monitor mode / your own thresholds for price-context alerts.
• Company research — resolve a company name to ticker + exchange + sector in one call.
• News context — pull the latest related headlines next to every quote.
• AI agents — 'what's NVDA at right now?' answered with live data via MCP.

Enrichment (optional, charged only when it produces something)

Set enrich: true and every record additionally gets: e-mail addresses extracted from the description (when present), the canonical domain of the record's URL, and a completeness score (0–1, how many core fields are filled). Deterministic — the same input always yields the same output — and you are only charged for records that actually got enriched. Records where enrichment adds nothing are free.

Monitor mode — change alerts on a schedule

Set monitor: true and the actor compares the current run with the previous one (per-actor named storage) and flags only NEW records. Combine with Apify Schedules for a daily/hourly watch: the _changes summary row lists what appeared since the last run, and the change-alert event is charged per new record only — an unchanged run costs you almost nothing.

Use it from your code

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("EnezLi/yahoo-finance-scraper").call(run_input={  "query": "NVDA,AAPL",  "maxResults": 10 })
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const { defaultDatasetId } = await client.actor('EnezLi/yahoo-finance-scraper').call({  "query": "NVDA,AAPL",  "maxResults": 10 });
const { items } = await client.dataset(defaultDatasetId).listItems();
console.log(items);

curl

curl -X POST "https://api.apify.com/v2/acts/EnezLi~yahoo-finance-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{  "query": "NVDA,AAPL",  "maxResults": 10 }'

Use it with AI agents (MCP)

This actor is agent-ready: it appears in Apify's AGENTS / MCP servers catalog, so any MCP-capable assistant (Claude, custom agents, LangGraph tools) can discover and call it with a one-line tool call — zero required fields means an agent can run it safely with defaults. Connect your agent to the Apify MCP server and ask for live data in natural language.

Pricing — Pay-Per-Event, start is free

Event	When charged
Actor start	Free ($0) — try it with one click
result	Per clean result returned
enrichment	Only per record that actually got enriched
change-alert	Monitor mode: per NEW record since the previous run

No subscription, no minimum. Volume discounts apply automatically through Apify account tiers (up to −44% on GOLD). Typical run cost example: 20 results ≈ a few cents total — you can predict your bill from the numbers above before you run.

Is this legal?

This actor collects publicly available data only — the same information any visitor sees in a browser, via public endpoints. It does not bypass logins, collect private personal data, or store credentials. You are responsible for using the output in compliance with the source site's terms and the laws that apply to you (e.g. GDPR when the output contains personal data).

Support & feedback

Found a bug, need another field, or want a variant for a related platform? Open an issue on the Issues tab — issues are monitored and answered, and frequently-requested fields get added to the standard output. The actor is maintained as part of a scraper family built on one shared, tested core (bugs fixed once are fixed everywhere).

Changelog

• 0.1 (2026-07) — initial public release: search, dedup, optional enrichment, monitor mode, PPE pricing.

Limitations (honest ones)

Uses Yahoo Finance's public web endpoints (not an official commercial data license) — suitable for research/dashboards; for regulated trading systems use a licensed feed. Endpoint changes are monitored and patched.

FAQ

Is the price real-time?

It is Yahoo Finance's regular-market price at run time — the same figure the website shows, fetched live on every run.

Why did a garbage query return nothing?

By design: if no ticker matches, the actor returns no unrelated filler results — you are never charged for noise.

Which markets are covered?

Everything Yahoo Finance quotes: US and international equities, ETFs, indices, many currencies and cryptos.

Do I need an API key or account on the source platform?

No. The actor uses public endpoints — you only need your Apify account.

Does it use AI / an LLM?

No. The core is fully deterministic: same input, same output, no hallucinations, no per-token costs.

Can I run it on a schedule?

Yes — use Apify Schedules; combine with monitor mode to pay only for what's new.

What's the maximum number of results?

500 per run (memory-safe cap). Run multiple queries or schedule runs for more.

How is my bill calculated?

Only from the events in the Pricing table — start is free, and there is no subscription.