# 🚀 Google Finance Earnings Calls · 1,000 Free Transcripts/Month (`omkar-cloud/google-finance-earnings-calls`) Actor

Google Finance Earnings Calls gets you earnings call transcripts ⚡ fast, 🎯 100% accurate and 🔍 ridiculously detailed — every speaker, timestamped, plus audio, the 10-Q and AI highlights. 💰 $5 per 1,000 transcripts, no start fee. Scrape your first 1,000 transcripts free every month 🚀

- **URL**: https://apify.com/omkar-cloud/google-finance-earnings-calls.md
- **Developed by:** [Omkar Cloud](https://apify.com/omkar-cloud) (community)
- **Categories:** Developer tools, Automation, Integrations
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 transcripts

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 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](https://www.trustpilot.com/review/omkar.cloud).

👉 [**Try Google Finance Earnings Calls free**](https://apify.com/omkar-cloud/google-finance-earnings-calls) — 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

```json
{
  "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**](https://apify.com/omkar-cloud/google-finance-earnings-calls) — 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**](https://apify.com/omkar-cloud/google-finance-earnings-calls)

### Run It from Code

Grab your API token from [Integrations Settings here](https://console.apify.com/settings/integrations) and replace `<YOUR_API_TOKEN>` below.

**Python** (`pip install apify-client`)

```python
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`)

```javascript
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.

[![Message Us on WhatsApp](https://raw.githubusercontent.com/omkarcloud/assets/master/images/whatsapp-us.png)](https://api.whatsapp.com/send?phone=918178804274\&text=I%20need%20help%20with%20using%20the%20Google%20Finance%20Earnings%20Calls%20Actor.)

[![Ask Us on Email](https://raw.githubusercontent.com/omkarcloud/assets/master/images/ask-on-email.png)](mailto:happy.to.help@omkar.cloud?subject=Help%20with%20Google%20Finance%20Earnings%20Calls%20Actor\&body=I%20need%20help%20with%20using%20the%20Google%20Finance%20Earnings%20Calls%20Actor.)

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**](https://apify.com/omkar-cloud/google-finance-scraper) — stocks, ETFs, funds, crypto: price, key stats, profile, financials and analyst ratings. $1 per 1,000 stocks.
📈 [**Google Finance Stock Prices**](https://apify.com/omkar-cloud/google-finance-stock-prices) — historical prices and OHLC candles, 1-minute to weekly, back to 1980. $0.10 per 1,000 prices.

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👉 [**Scrape your first 1,000 transcripts free now**](https://apify.com/omkar-cloud/google-finance-earnings-calls)

# Actor input Schema

## `symbols` (type: `array`):

A symbol (AAPL:NASDAQ), a bare ticker (NVDA) or any google.com/finance/quote link.

## `callsPerSymbol` (type: `integer`):

How many of each company's most recent calls to get. Ignored when fiscal quarters are listed.

## `fiscalQuarters` (type: `array`):

Exact fiscal quarters to get for every company, e.g. 2024-Q1, 2025-Q4.

## `language` (type: `string`):

2-letter language code for company names (transcripts stay in the call's language).

## `maxResults` (type: `integer`):

Stop after this many transcripts. Caps the cost of a run.

## Actor input object example

```json
{
  "symbols": [
    "AAPL:NASDAQ",
    "NVDA"
  ],
  "callsPerSymbol": 1,
  "language": "en",
  "maxResults": 1000
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "symbols": [
        "AAPL:NASDAQ",
        "NVDA"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("omkar-cloud/google-finance-earnings-calls").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 = { "symbols": [
        "AAPL:NASDAQ",
        "NVDA",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("omkar-cloud/google-finance-earnings-calls").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 '{
  "symbols": [
    "AAPL:NASDAQ",
    "NVDA"
  ]
}' |
apify call omkar-cloud/google-finance-earnings-calls --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,omkar-cloud/google-finance-earnings-calls"
        }
    }
}
```

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/V77vIk7qolqfgd3ok/builds/iyX3gaV6WRbdNceab/openapi.json