# ONE Championship Events Scraper | Fighter & Event Data (`parseforge/one-championship-events-scraper`) Actor
Export ONE Championship event records: event name, date, venue, country, card details, fighter names, weight class, fight outcomes when reported and event URL. Index past and upcoming cards. CSV, Excel, JSON or XML for MMA media, sportsbook research and analytics.
- **URL**: https://apify.com/parseforge/one-championship-events-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Other, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
## ๐ ONE Championship Events Scraper
> ๐ **Export ONE Championship event records: event name, date, venue, country, card details, fighter names, weight class, fight outcomes when reported and event URL.**
> ๐ **Last updated:** 2026-05-26 ยท **๐ 10+ fields** per record ยท **Production scale** ยท **Comprehensive coverage**
Export ONE Championship event records: event name, date, venue, country, card details, fighter names, weight class, fight outcomes when reported and event URL. Index past and upcoming cards. CSV, Excel, JSON or XML for MMA media, sportsbook research and analytics.
| ๐ฏ Target Audience | ๐ก Primary Use Cases |
|---|---|
| Researchers | Data export |
| Analysts | Market intelligence |
| Sales teams | Lead generation |
| Developers | Pipeline automation |
### ๐ What this scraper does
- Queries the source in real time
- Returns structured one-row-per-record output
- Supports filtering via input parameters
- Outputs to CSV, Excel, JSON, or XML
> ๐ก **Why it matters:** Programmatic access to onefc.com data saves hours of manual collection.
### ๐ฌ Full Demo (_๐ง Coming soon_)
### โ๏ธ Input
Field
Type
Description
maxItems
integer
Cap on rows (free: 10)
query
string
Optional search keyword or filter
```json
{ "maxItems": 50 }
````
```json
{ "maxItems": 200, "query": "example" }
```
> โ ๏ธ **Good to Know:** Real-time scrape โ results reflect current source state.
### ๐ Output
| Field | Type | Description |
|---|---|---|
| ๐ (primary id) | string | Record identifier |
| ๐ name/title | string | Record name |
| ๐ท status | string | Status when available |
| ๐ url | string | Direct source URL |
| ๐ scrapedAt | string | ISO timestamp |
### โจ Why choose this Actor
- Direct source pull โ no third-party cache
- Real-time data
- Works with Make, Zapier, Airbyte, GitHub Actions, Google Sheets
### ๐ How it compares to alternatives
| Approach | Cost | Maintenance | Coverage |
|---|---|---|---|
| This actor | Pay per result | None | Full |
| Manual export | Free | High | Limited |
| Commercial APIs | $$$ | None | Curated |
### ๐ How to use
1. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp)
2. Open the actor page
3. Set inputs
4. Run
5. Download dataset as CSV, Excel, JSON, or XML
### ๐ผ Business use cases
#### Competitor and market monitoring
Track changes in records as they are filed, listed, or updated.
#### Pipeline expansion
Identify prospects, partners, or licensed professionals in your target territory.
#### Compliance and due diligence
Audit licensing and registration status before onboarding.
#### Market sizing and research
Quantify activity within a vertical for strategic planning.
### ๐ Automating this Scraper
Connects with Make, Zapier, Slack, Airbyte, GitHub Actions, and Google Drive via Apify's standard integrations.
### ๐ Beyond business use cases
#### Research
Academic studies needing structured data export.
#### Personal
Personal portfolio, civic engagement, hobbyist use.
#### Non-profit
Watchdog work, public-interest journalism.
#### Experimentation
Train models or test pipelines with real-world data.
### ๐ค Ask an AI assistant about this scraper
ChatGPT, Claude, Perplexity, or Copilot can explain inputs, output schema, and integrations.
### โ Frequently Asked Questions
**Q: Is this data real-time?** A: Yes, every run queries the source live.
**Q: Can I export to CSV?** A: Yes, CSV, Excel, JSON, and XML are all supported.
**Q: Do I need an API key for the source?** A: Not generally; check input schema for optional keys.
**Q: What is the rate limit?** A: Governed by the source's policy plus Apify's defaults.
**Q: How accurate is the data?** A: As accurate as the underlying public source.
**Q: Do you cache results?** A: No, every run is a fresh fetch.
**Q: Can I run this on a schedule?** A: Yes, via Apify schedules.
**Q: Is this affiliated with the source?** A: No โ independent tool, public data only.
**Q: Can free users run it?** A: Yes, with a 10-item preview cap.
**Q: How do I get support?** A: Contact form linked below.
### ๐ Integrate with any app
Make, Zapier, Slack, Airbyte, GitHub Actions, Google Sheets, Webhooks.
### ๐ Recommended Actors
| Actor | Description |
|---|---|
| [USAspending Contracts Scraper](https://apify.com/parseforge/usaspending-contracts-scraper) | Federal contract awards |
| [SEC EDGAR Scraper](https://apify.com/parseforge/sec-edgar-scraper) | SEC company filings |
| [FDIC Bank Scraper](https://apify.com/parseforge/fdic-bank-scraper) | FDIC institution data |
> ๐ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge).
**๐ Need Help?** [Open our contact form](https://tally.so/r/BzdKgA)
> **โ ๏ธ Disclaimer:** independent tool, not affiliated with the source organization. Only publicly available data collected.
# Actor input Schema
## `maxItems` (type: `integer`):
Free: 10. Paid: up to 1,000,000.
## Actor input object example
```json
{
"maxItems": 10
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/one-championship-events-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "maxItems": 10 }
# Run the Actor and wait for it to finish
run = client.actor("parseforge/one-championship-events-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 10
}' |
apify call parseforge/one-championship-events-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=parseforge/one-championship-events-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "ONE Championship Events Scraper | Fighter & Event Data",
"description": "Export ONE Championship event records: event name, date, venue, country, card details, fighter names, weight class, fight outcomes when reported and event URL. Index past and upcoming cards. CSV, Excel, JSON or XML for MMA media, sportsbook research and analytics.",
"version": "0.1",
"x-build-id": "GF3WOOs5etoXgVdaf"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/parseforge~one-championship-events-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-parseforge-one-championship-events-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/parseforge~one-championship-events-scraper/runs": {
"post": {
"operationId": "runs-sync-parseforge-one-championship-events-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/parseforge~one-championship-events-scraper/run-sync": {
"post": {
"operationId": "run-sync-parseforge-one-championship-events-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Free: 10. Paid: up to 1,000,000."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```