# Flashscore Match Results Scraper (`muhammadafzal/flashscore-match-results-scraper`) Actor

Extract public Flashscore match results and fixtures with teams, scores, status, competition, times, and match URLs for sports analytics and dashboards.

- **URL**: https://apify.com/muhammadafzal/flashscore-match-results-scraper.md
- **Developed by:** [Muhammad Afzal](https://apify.com/muhammadafzal) (community)
- **Categories:** Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 scraped match results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## 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

## Flashscore Match Results Scraper

Extract public Flashscore match results from competition, league, and results pages into a clean dataset for sports analytics, historical result collection, dashboards, and model training.

### Extracted fields

Each record includes the home and away teams, scores, status, displayed time, competition, public match URL when available, source URL, and scrape timestamp. Optional fields are `null` when Flashscore does not expose them on the selected page.

### Input

Provide one or more public Flashscore URLs, such as `https://www.flashscore.com/football/england/premier-league/`. Set `maxResults` from 1 to 500 and `maxPages` from 1 to 20. Login, betting, private, and authenticated URLs are not supported.

### Output example

```json
{
  "matchId": "2H3kLmNq",
  "competition": "Premier League",
  "status": "Finished",
  "homeTeam": "Arsenal",
  "awayTeam": "Chelsea",
  "homeScore": 2,
  "awayScore": 1,
  "matchUrl": "https://www.flashscore.com/match/2H3kLmNq/"
}
```

### Pricing

Pay per event is configured at $0.001 per delivered dataset record, plus a $0.00005 run-start event. A 100-result run therefore has an event charge of about $0.10005, before any optional proxy/platform usage.

### Reliability and limitations

The Actor uses public Flashscore pages and a bounded Playwright session. Residential proxy use is enabled by default for pages that challenge datacenter traffic. A challenge, empty page, or layout change is reported in `OUTPUT`; the Actor does not fabricate match records or bypass access controls. Flashscore page availability, language, and displayed history can vary by sport, country, and competition.

Use the data in accordance with Flashscore's terms, applicable law, and competition/data-rights requirements. This Actor is for public-page extraction only and does not access accounts, betting flows, or private data.

### Use cases

- Schedule repeatable collection and export results to downstream workflows.
- Run a one-off research job and export the structured result as JSON, CSV, Excel, XML, or RSS from Apify.
- Schedule the same input to monitor changes over time and send completed datasets to a webhook or integration.
- Feed schema-shaped records into a database, spreadsheet, BI tool, or AI workflow with the source URL retained for verification.

### Run Flashscore Match Results Scraper with the Apify API

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('muhammadafzal/flashscore-match-results-scraper').call({
  "startUrls": [
    {
      "url": "https://www.flashscore.com/football/england/premier-league/"
    }
  ],
  "maxResults": 100,
  "maxPages": 1,
  "includeUpcoming": false,
  "useResidentialProxy": true
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

You can also run the Actor from Apify Console, schedules, webhooks, the REST API, Make, Zapier, n8n, or the hosted Apify MCP server.

### Responsible use

Use this Actor only for data you are authorized to access. Follow the target website's terms, robots and access policies, and applicable privacy, database, copyright, anti-spam, and data-protection laws. Do not use it to bypass authentication or other access controls, collect private data, harass people, or make high-impact decisions without independent verification.

### Frequently asked questions

#### Can I schedule Flashscore Match Results Scraper?

Yes. Use an Apify schedule to run the same saved input at a chosen interval, then connect a webhook or integration to process the dataset when the run finishes.

#### How should I test a new input?

Begin with the prefilled example or a small limit. Confirm that the output fields, source coverage, runtime, and live charges match your workflow before increasing the scope.

#### How do I export the results?

Open the run's default dataset in Apify Console and export JSON, CSV, Excel, XML, or RSS. Applications can retrieve the same records through the Apify API client or REST dataset endpoint.

#### Can an AI agent call this Actor?

Yes. Add `muhammadafzal/flashscore-match-results-scraper` through the hosted Apify MCP server or call it through the API. The Actor's input and dataset schemas help agents construct valid requests and interpret returned records.

### Recommended workflow

1. **Define the smallest useful scope.** Choose a representative public URL, query, identifier, or filter and keep the first result limit low.
2. **Run and inspect.** Check the run log, dataset item count, field coverage, source URLs, and live event or usage charges.
3. **Validate downstream assumptions.** Confirm nullable fields, deduplication keys, timestamps, and any locale-specific formats before importing records into another system.
4. **Scale gradually.** Increase limits or scheduling frequency only after the small run behaves as expected. Use Apify's maximum-cost and timeout controls to bound large jobs.
5. **Monitor changes.** Keep a small known-good input as a canary. If the source layout or API changes, compare the new dataset with a previously validated run and report the run ID when requesting support.

For recurring workflows, store the exact Actor input with your pipeline configuration. This makes runs reproducible and helps distinguish a source-data change from an input change.

# Actor input Schema

## `startUrls` (type: `array`):

Use this for public Flashscore competition or results pages, for example https://www.flashscore.com/football/england/premier-league/. Login, betting, and private URLs are not supported.

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

Maximum unique match results to return across supplied pages; use 1-500. Default: 100.

## `maxPages` (type: `integer`):

Maximum public Flashscore pages to visit; use 1-20. Default: number of supplied URLs.

## `includeUpcoming` (type: `boolean`):

Use this to document that upcoming fixtures are acceptable; result rows still reflect the status exposed by Flashscore. Default: false.

## `useResidentialProxy` (type: `boolean`):

Use Apify Residential Proxy for public pages that challenge datacenter traffic. Proxy usage may add platform cost. Default: true.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.flashscore.com/football/england/premier-league/"
    }
  ],
  "maxResults": 100,
  "maxPages": 1,
  "includeUpcoming": false,
  "useResidentialProxy": true
}
```

# Actor output Schema

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

URL of the schema-validated match results dataset.

## `status` (type: `string`):

No description

## `warnings` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("muhammadafzal/flashscore-match-results-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("muhammadafzal/flashscore-match-results-scraper").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 muhammadafzal/flashscore-match-results-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,muhammadafzal/flashscore-match-results-scraper"
        }
    }
}

```

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/g48AJCbtYfo8AeyPK/builds/A5Ze75Q6v7XfjXGnJ/openapi.json