# Yahoo Finance Earnings Calendar Scraper (`searchapi/yahoo-finance-earnings-scraper`) Actor

Scrapes Yahoo Finance earnings calendar for upcoming and past earnings reports including EPS estimates, reported EPS, surprise percentage, and market cap.

- **URL**: https://apify.com/searchapi/yahoo-finance-earnings-scraper.md
- **Developed by:** [Search API](https://apify.com/searchapi) (community)
- **Categories:** Automation, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

## Yahoo Finance Earnings Calendar Scraper

Scrapes Yahoo Finance earnings calendar for upcoming and past earnings reports including EPS estimates, reported EPS, surprise percentage, and market cap.

### What this Actor collects

The Actor creates one record for each company event in the requested Yahoo Finance earnings-calendar date range.

- Uses the input limits and filters below to control the crawl.
- Stores source-backed fields defined by the 10-field dataset schema.
- Preserves Yahoo's displayed values, including `-` when an estimate or reported figure is not yet available.

### Use cases

- Market and company research
- Price, fundamentals, earnings, or derivatives monitoring
- Structured inputs for financial analysis

### Input

Provide input in JSON. Fields marked required must be supplied; source-specific alternatives and constraints are described in the field text.

| Field | Type | Required | Default | Description |
| --- | --- | :---: | --- | --- |
| `fromDate` | string | No | `""` | Start date for earnings calendar (YYYY-MM-DD). Defaults to today. |
| `toDate` | string | No | `""` | End date for earnings calendar (YYYY-MM-DD). Defaults to 7 days after fromDate. |
| `proxyConfiguration` | object | No | — | Proxy settings. |

#### Example input

```json
{
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

### Output

The default dataset contains one item per earnings-calendar entry. Numeric financial values are source-formatted strings, so suffixes such as `T` and Yahoo's `-` marker are preserved.

| Field | Type | Description |
| --- | --- | --- |
| `scrapedAt` | string | Scraped At |
| `symbol` | string | Ticker Symbol |
| `companyName` | string | Company Name |
| `eventName` | string | Event Name |
| `earningsCallTime` | string | Earnings Call Time |
| `epsEstimate` | string | EPS Estimate |
| `reportedEps` | string | Reported EPS |
| `surprisePercent` | string | Surprise % |
| `marketCap` | string | Market Cap |
| `earningsDate` | string | Earnings Date |

<details>
<summary>All 10 declared dataset fields</summary>

`symbol`, `companyName`, `eventName`, `earningsCallTime`, `epsEstimate`, `reportedEps`, `surprisePercent`, `marketCap`, `earningsDate`, `scrapedAt`

</details>

#### Example dataset item

This compact example is a subset of one item in local Actor storage; every displayed value is unmodified.

```json
{
  "scrapedAt": "2026-07-23T12:29:28.069Z",
  "symbol": "MSFT",
  "companyName": "Microsoft Corporation",
  "eventName": "Q4 2026 Earnings Announcement",
  "earningsCallTime": "AMC",
  "epsEstimate": "4.24",
  "reportedEps": "-",
  "surprisePercent": "-",
  "marketCap": "2.9T",
  "earningsDate": "2026-07-23"
}
```

### Related Actors

- [Yahoo Finance Options Chain Scraper](https://apify.com/searchapi/yahoo-finance-options-scraper)
- [Yahoo Finance Stocks Scraper](https://apify.com/searchapi/yahoo-finance-stocks-scraper)
- [Yahoo Images Scraper](https://apify.com/searchapi/yahoo-images-scraper)

# Actor input Schema

## `fromDate` (type: `string`):

Start date for earnings calendar (YYYY-MM-DD). Defaults to today.

## `toDate` (type: `string`):

End date for earnings calendar (YYYY-MM-DD). Defaults to 7 days after fromDate.

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

Proxy settings.

## Actor input object example

```json
{
  "fromDate": "",
  "toDate": "",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

Dataset schema for yahoo-finance-earnings-scraper

# 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 = {
    "fromDate": "",
    "toDate": "",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("searchapi/yahoo-finance-earnings-scraper").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 = {
    "fromDate": "",
    "toDate": "",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("searchapi/yahoo-finance-earnings-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "fromDate": "",
  "toDate": "",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call searchapi/yahoo-finance-earnings-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=searchapi/yahoo-finance-earnings-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/Mg7ek3OXiSQqwNDT8/builds/ECaNcnoF4nvB907hl/openapi.json