# Forexfactory Discovery Parser Spider (`getdataforme/forexfactory-discovery-parser-spider`) Actor

The Forexfactory Discovery Parser Spider scrapes and parses ForexFactory data using keywords, providing real-time insights into market trends, news, and discussions....

- **URL**: https://apify.com/getdataforme/forexfactory-discovery-parser-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Features:** Limited permissions
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 1,000 results

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

***

## Forexfactory Discovery Parser Spider

### Introduction

The Forexfactory Discovery Parser Spider is designed to efficiently scrape and parse data from ForexFactory.com based on specified keywords. This tool provides valuable insights into market trends, news, and discussions related to forex trading. It's an essential resource for traders, analysts, and researchers looking to gather comprehensive information quickly.

### Features

- **Keyword-Based Scraping**: Customize searches with specific keywords to target relevant data.
- **High Data Quality**: Ensures accurate and up-to-date information from ForexFactory.com.
- **Flexible Item Limit**: Control the number of items scraped per run for optimal performance.
- **Real-Time Insights**: Access real-time quotes, news, and market discussions.
- **User-Friendly Configuration**: Easy setup with intuitive input parameters.

### Input Parameters

| Parameter   | Type    | Required | Description                                                                 | Example                  |
|-------------|---------|----------|-----------------------------------------------------------------------------|--------------------------|
| Keywords    | array   | No       | The keywords for the spider.                                                | `["gold", "forex"]`      |
| item_limit  | integer | No       | Maximum items to scrape per actor run. Set to 0 for no limit.               | `10`                     |

### Example Usage

#### Input JSON

```json
{
  "Keywords": ["gold", "forex"],
  "item_limit": 5
}
```

#### Output JSON

```json
[
  {
    "title": "Silver/USD | Forex Factory",
    "link": "https://www.forexfactory.com/market/silverusd",
    "site_info": "forexfactory.com/market/silverusd",
    "description": "View real-time Silver/USD quotes, news, economic calendar events, charts, and more!",
    "date": null,
    "search_keyword": "silver",
    "searchid": "80671637",
    "actor_id": "joCoE40Xf5pgiKvok",
    "run_id": "gnAixfRNgFzj727O0"
  },
  {
    "title": "Silver | Forex Factory",
    "link": "https://www.forexfactory.com/thread/1350953-silver",
    "site_info": "forexfactory.com/thread/1350953-silver",
    "description": "Jul 11, 2025 ... Hello traders, I'm starting this thread to connect with others who actively trade Silver (XAG/USD). Lately, silver's been showing some serious...",
    "date": "Jul 11, 2025",
    "search_keyword": "silver",
    "searchid": "80671637",
    "actor_id": "joCoE40Xf5pgiKvok",
    "run_id": "gnAixfRNgFzj727O0"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather data for comprehensive market studies.
- **Competitive Intelligence**: Monitor competitors' activities and strategies.
- **Price Monitoring**: Track price changes in real-time for informed trading decisions.
- **Content Aggregation**: Compile relevant articles, discussions, and news.
- **Academic Research**: Support research projects with up-to-date financial data.
- **Business Automation**: Automate data collection processes for efficiency.

### Installation and Usage

1. Search for "Forexfactory Discovery Parser Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output is a JSON array containing objects with the following fields:

- **title**: The title of the scraped item.
- **link**: URL link to the original content.
- **site_info**: Site-specific information or identifier.
- **description**: A brief description of the content.
- **date**: Date associated with the content, if available.
- **search_keyword**: Keyword used for scraping this item.
- **searchid**: Unique search identifier.
- **actor_id**: Identifier for the actor instance.
- **run_id**: Identifier for the specific run.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: [Contact Us](https://getdataforme.com/contact/)

We're here to help you get the most out of this Actor!

# Actor input Schema

## `Keywords` (type: `array`):

The keywords for the spider.

## `item_limit` (type: `integer`):

Maximum items to scrape per actor run. Set to 0 for no limit.

## Actor input object example

```json
{
  "Keywords": [
    "gold",
    "forex",
    "silver"
  ],
  "item_limit": 10
}
```

# Actor output Schema

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

Scraped data items from dataset

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/forexfactory-discovery-parser-spider").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/forexfactory-discovery-parser-spider").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 '{}' |
apify call getdataforme/forexfactory-discovery-parser-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/forexfactory-discovery-parser-spider"
        }
    }
}
```

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/joCoE40Xf5pgiKvok/builds/7b7fCPb6xaFHBBoV9/openapi.json