Yahoo Finance Scraper

Finance & Company Data

Operated by Sourcelane✓ verified

A scraper for Yahoo Finance that fetches live and exchange-delayed market data across asset classes (stocks, crypto, forex, ETFs, indices, futures) and returns five integrated data types: real-time quotes (price, percent change, intraday ranges, bid/ask, volume, market capitalization, dividend and valuation metrics), company fundamentals (sector, industry, employee counts, business summary, margins, revenue, cash/debt, free cash flow, valuation ratios, analyst targets and recommendations), historical price series (OHLCV bars from intraday to monthly with adjusted close and full listing history), options chains (complete strikes and quotes for the nearest expiry with volume, open interest and implied volatility), and news (latest headlines with publisher, timestamp and related tickers). The connector scrapes Yahoo Finance pages to produce structured market, fundamental, historical, options, and news data suitable for portfolio monitoring, quant research, screening, options analysis, and ticker-level news pipelines; it supports batch symbol queries and respects Yahoo Finance quote freshness (real-time or exchange-delayed as displayed).

Verified Sep 28, 12:10 AM

$0.0025

per result

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Portfolio dashboards and market monitoring on a schedule
Quant research — build historical OHLCV results across tickers
Stock screeners — pull fundamentals for a watchlist and filter in Sheets
Options analysis — track IV, open interest, and unusual volume
News monitoring and sentiment pipelines per ticker

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"yahoo-finance-scraper","params":{"symbols":["AAPL","MSFT","BTC-USD"],"maxItems":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`symbols`	array	required	Ticker symbols to fetch — stocks ('AAPL'), crypto ('BTC-USD'), forex ('EURUSD=X'), indices ('^GSPC'). Maximum 100 per run.
`mode`	string	optional	What to fetch for each symbol: live quotes, company fundamentals, historical OHLCV prices, the options chain, or latest news.
`range`	string	optional	How far back to fetch price history. Only used when Data type is 'History'.
`interval`	string	optional	Size of each price bar. Intraday intervals (5m–1h) only work with short ranges. Only used when Data type is 'History'.
`maxItems`	integer	optional	Maximum number of records to return across all symbols. 0 = unlimited. Capped at 100 per call.

Each result contains

Field	Type	Description
`symbol`	string	Symbol
`title`	string	—
`publisher`	string	—
`url`	string	—
`publishedAt`	string	—
`newsType`	string	—
`relatedTickers`	array	—
`fetchedAt`	string	—

Use Yahoo Finance Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Which AI companies filed a Form D in the last two weeks, and how much did they raise?”

Connect Claude

Web, desktop and mobile. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://cool-puffin-608.convex.site/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://cool-puffin-608.convex.site/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://cool-puffin-608.convex.site/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://cool-puffin-608.convex.site/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://sourcelane-amber.vercel.app/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"yahoo-finance-scraper","params":{"symbols":["AAPL","MSFT","BTC-USD"],"maxItems":5},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

import requests

res = requests.post(
    "https://cool-puffin-608.convex.site/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "yahoo-finance-scraper",
        "params": {"symbols":["AAPL","MSFT","BTC-USD"],"maxItems":5},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

Reviews

—

0 reviews

Leave a review

Loading reviews…