Google Finance Earnings Calls

Google Finance Earnings Calls by Omkar Cloud gets you 🎯 accurate, 🔍 detailed earnings call transcripts from Google Finance.

Google Finance rate-limits automated readers and answers heavy use with "unusual traffic" captchas.

Google Finance Earnings Calls beats it, so you get the data, and can successfully complete your project.

$5 per 1,000 transcripts. And with Apify's free plan you get $5 of credit every month, so your first ~1,000 transcripts each month are free.

This is an excellent Actor made by Omkar Cloud, which is Rated Excellent — 4.7 based on 30 reviews on Trustpilot.

👉 Try Google Finance Earnings Calls free — your first ~1,000 transcripts are Free.

What can I get

• 🎙️ Word-for-word transcripts — every speaker, role and company, timestamped to the second
• 🔊 The call's audio — MP3 and HLS stream links
• 📄 The quarterly report and press release — PDF links for each call
• ✨ AI highlights, concerns and news insights — for the latest call

Why Google Finance Earnings Calls

Most other Google Finance scrapers fail you in one of four ways:

• 🗄️ Inaccurate, cached, stale data
• 🧩 Low-detail data — a few fields per row, never the full picture
• 💸 Pay more to get the same data
• 🪦 Works today, breaks next month — nobody maintains it

Google Finance Earnings Calls is scraped live on every run, priced honestly, and actively maintained.

Example: Apple's Q3 2026 Earnings Call

{
  "symbol": "AAPL:NASDAQ",
  "name": "Apple Inc",
  "fiscal_year": 2026,
  "fiscal_quarter": 3,
  "duration_seconds": 3627.57,
  "audio": {
    "mp3": "https://files.quartr.com/audio-files/b3cad53d73ff17d3bf9ab0be4d2f18d5-2026-07-30-22-05-05.mpeg?ref=R29vZ2xl"
  },
  "documents": [
    { "type": "financial_report", "link": "https://files.quartr.com/reports/8067506a2d19f928230adcd59f3e0627-2026-07-31-10-07-18.pdf?ref=R29vZ2xl" },
    { "type": "press_release", "link": "https://files.quartr.com/reports/d087ceb34cd4db637b71a94211277eb2-2026-07-30-20-32-31.pdf?ref=R29vZ2xl" }
  ],
  "highlights": [
    {
      "text": "Apple achieved a June quarter record revenue of $109.4B, up 16% year-over-year...",
      "speaker": "Tim Cook",
      "role": "CEO",
      "offset_seconds": 102
    }
  ],
  "segment_count": 108,
  "transcript": [
    {
      "speaker": "Tim Cook",
      "role": "CEO",
      "company": "Apple",
      "start_seconds": 102.52,
      "end_seconds": 171.58,
      "text": "Thank you, Suhasini. Good afternoon, everyone, thanks for joining the call. Today, Apple is pleased to report $109.4 billion in revenue, up 16% from a year ago and a June quarter record..."
    }
  ]
}

Trimmed for readability.

Get Started with 1,000 Free Transcripts

1. Hit Try for Free Button — the input is pre-filled with Apple and Nvidia.
2. Enjoy your data 😎.

Pricing

High value, Low price.

What	Price	What you get
Transcripts	$5 per 1,000	One call per row: full timed transcript, audio, report and press release links

No start fee — you pay only for calls that have a transcript. Control your spend with Max transcripts: 100 transcripts ≈ $0.50.

💡 Apify's free plan includes $5 of credit every month — about 1,000 free transcripts, every month.

👉 Scrape your first 1,000 transcripts free

Run It from Code

Grab your API token from Integrations Settings here and replace <YOUR_API_TOKEN> below.

Python (pip install apify-client)

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/google-finance-earnings-calls").call(run_input={
    "symbols": ["AAPL:NASDAQ", "NVDA"],
    "callsPerSymbol": 4,
})
for call in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(call["symbol"], call["fiscal_year"], call["fiscal_quarter"], call["segment_count"])

Node.js (npm install apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('omkar-cloud/google-finance-earnings-calls').call({
    symbols: ['MSFT', 'TSLA'],
    fiscalQuarters: ['2026-Q2'],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

💬 Have Questions? We Have Answers.

You're a business owner — we know how hard completing a project can be. So we offer full support: just message us and we'll reply ✅ with a solution within 1 working day.

You are important to us — just message us and we will solve your problem ✅ within 1 working day. 🩷 Pinky Promise 🤙!

Related Actors

💹 Google Finance Scraper — stocks, ETFs, funds, crypto: price, key stats, profile, financials and analyst ratings. $1 per 1,000 stocks. 📈 Google Finance Stock Prices — historical prices and OHLC candles, 1-minute to weekly, back to 1980. $0.10 per 1,000 prices.

Popular Actors by Omkar Cloud

• G2 Product Scraper — G2 product details, ratings & AI-found contacts
• Website Email Contact Scraper — emails, phones & socials from any website
• AliExpress Product Scraper — live product details, SKU variants, stock & shipping
• Booking Scraper — Booking.com hotels: prices, ratings, rooms & amenities
• IMDb Scraper — IMDb titles: ratings, votes, cast, box office & charts

👉 Scrape your first 1,000 transcripts free now