# Tapology MMA Fighters Scraper - Profiles & Records (`parseforge/tapology-mma-fighters-scraper`) Actor
Surface player and team records from Tapology Mma Fighters with stats, rankings, profiles, history and head to head splits when published. Perfect for fantasy sports, betting analytics, agencies and sports media. Run on demand or on a recurring schedule and feed every row into your favourite anal.
- **URL**: https://apify.com/parseforge/tapology-mma-fighters-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Lead generation, Automation
- **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
## ๐ฅ Tapology MMA Fighters Scraper
> ๐ **Pull MMA fighter profiles from Tapology in seconds.** Name, nickname, weight class, win-loss record, country and fighter page URL. multiple table outputs.
> ๐ **Last updated:** 2026-05-27 ยท **๐ 9 fields** per record ยท 100,000+ fighters indexed
Pulls Tapology fighter search results: every fighter who matches your search term, with weight class, win-loss record, nickname and country. Built with residential proxy + Chrome TLS fingerprint to bypass Tapology's datacenter-IP block.
---
### Target Audience / Use Cases
| ๐ฏ Target Audience | ๐ก Primary Use Cases |
|---|---|
| MMA journalists | Profile lookup and event prep |
| Bettors / analysts | Compare fighter records at a glance |
| Researchers | Combat-sport demographics datasets |
| Promoters | Talent sourcing by weight class |
| Fans | Build personal rankings |
---
### ๐ What this scraper does
- Connects to the public Tapology fighter search
- Pulls every fighter matching the search term
- Returns structured rows ready for analysis
- Outputs structured data, spreadsheet, spreadsheet, feed
> ๐ก **Why it matters:** Tapology is the most complete MMA database on the web; this actor turns it into a queryable feed.
---
### ๐ฌ Full Demo
๐ง Coming soon
---
### โ๏ธ Input
Field
Type
Description
maxItems
integer
Free users: Limited to 10. Paid users: Optional, max 1,000,000.
searchTerm
string
Fighter-name search term. e.g. 'jones', 'silva', 'mcgregor'.
```json
{ "maxItems": 5, "searchTerm": "jones" }
````
```json
{ "maxItems": 100, "searchTerm": "silva" }
```
> โ ๏ธ **Good to Know:** Tapology blocks datacenter IPs. The actor automatically uses Apify Residential proxies to bypass that.
***
### ๐ Output
Key fields: name, nickname, weightClass, record, country, id, slug, url, sourceUrl, scrapedAt.
***
### โจ Why choose this Actor
- ๐ข Backed by the official Tapology search
- ๐ข No login or API key required
- ๐ข Up to 1,000,000 records per paid run
- ๐ข Multiple pull outputs
***
### ๐ How it compares to alternatives
| Option | Free | Bulk | Live |
|---|---|---|---|
| Source website | Yes | No | Yes |
| **ParseForge Scraper** | **Yes** | **Yes** | **Live** |
***
### ๐ How to use
1. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp)
2. Open this actor in the Apify Console
3. Enter your search term
4. Click **Start** and wait for the run to finish
5. Use the dataset as multiple table outputs
***
### ๐ผ Business use cases
- Building an MMA stats data product
- Match-prep workflow for journalists / bettors
- Promoter talent sourcing by weight class
- Compiling fighter rosters for promotions
***
### ๐ Automating Tapology MMA Fighters Scraper
Trigger runs from Make, Zapier, n8n, Airbyte, GitHub Actions, Google Sheets, Slack, Airtable or any HTTP client via the Apify API.
***
### ๐ Beyond business use cases
- Combat-sport academic research
- Personal MMA-stats dashboards
- Non-profit grassroots MMA archiving
- Tech experimentation with sports datasets
***
### ๐ค Ask an AI assistant
Open the run URL with ChatGPT, Claude, Perplexity or Copilot for instant insights.
***
### โ Frequently Asked Questions
**Is this affiliated with Tapology?** No, independent tool.
**Is login required?** No, only public data.
**Why residential proxies?** Tapology returns HTTP 403 from datacenter IPs.
**Can I pull to spreadsheet?** Yes.
**Is the data live?** Yes, every run.
**Does it include detailed bio?** Search rows give name, nickname, weight class, record, country - use the URL to drill into the full profile.
**Can I search by weight class?** Search by term; filter the dataset by weightClass column post-pull.
**What's the maximum number of records?** Up to 1,000,000 on paid plans.
**How many pages does it paginate?** Up to 20 pages of search results.
**Does the actor follow detail pages?** No, it returns the search rows; URLs are included for drill-down.
***
### ๐ Integrate with any app
Apify API works with REST, webhooks, Make, Zapier, Airbyte, n8n, Slack, Google Drive, GitHub, Airtable.
***
### ๐ Recommended Actors
| Actor | What it does |
|---|---|
| [Google Maps Scraper](https://apify.com/compass/crawler-google-places) | Business listings from Google Maps |
| [LinkedIn Profile Scraper](https://apify.com/curious_coder/linkedin-profile-scraper) | Public LinkedIn profile data |
| [Amazon Product Scraper](https://apify.com/junglee/amazon-crawler) | Amazon product listings |
> 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 Tapology. Only publicly available data collected.
# Actor input Schema
## `maxItems` (type: `integer`):
Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000
## `searchTerm` (type: `string`):
Fighter name to search on Tapology. e.g. 'jones', 'silva', 'mcgregor'.
## Actor input object example
```json
{
"maxItems": 10,
"searchTerm": "jones"
}
```
# 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/tapology-mma-fighters-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/tapology-mma-fighters-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/tapology-mma-fighters-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=parseforge/tapology-mma-fighters-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Tapology MMA Fighters Scraper - Profiles & Records",
"description": "Surface player and team records from Tapology Mma Fighters with stats, rankings, profiles, history and head to head splits when published. Perfect for fantasy sports, betting analytics, agencies and sports media. Run on demand or on a recurring schedule and feed every row into your favourite anal.",
"version": "0.1",
"x-build-id": "YzBJtZi18vHQyo1F1"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/parseforge~tapology-mma-fighters-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-parseforge-tapology-mma-fighters-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/parseforge~tapology-mma-fighters-scraper/runs": {
"post": {
"operationId": "runs-sync-parseforge-tapology-mma-fighters-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/parseforge~tapology-mma-fighters-scraper/run-sync": {
"post": {
"operationId": "run-sync-parseforge-tapology-mma-fighters-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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 users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000"
},
"searchTerm": {
"title": "Search term",
"type": "string",
"description": "Fighter name to search on Tapology. e.g. 'jones', 'silva', 'mcgregor'.",
"default": "jones"
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```