# 247Sports College Recruit Rankings Scraper (`s7_studio/247sports-recruits-scraper`) Actor

Scrape 247Sports college football & basketball recruit rankings. Get athlete name, profile URL, position, height, weight, high school, hometown, star rating, composite rating, national/state/position rank and committed college. Pay per result. No login or proxy key needed.

- **URL**: https://apify.com/s7\_studio/247sports-recruits-scraper.md
- **Developed by:** [S7 Studio](https://apify.com/s7_studio) (community)
- **Categories:** News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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?

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

## 247Sports College Recruit Rankings Scraper

Collect publicly available **247Sports (247sports.com)** college-recruiting
rankings as clean, structured records. Pick a sport, class year, institution
group and ranking type; the scraper reads the ranking page and returns one row
per ranked recruit — the whole class in a single run.

### What you get (one record per recruit)

| field | description |
|---|---|
| `athlete_id` | stable numeric id from the player profile URL |
| `name` | recruit name |
| `profile_url` | 247Sports player profile URL |
| `sport` | Football or Basketball |
| `recruitment_year` | recruiting class year |
| `position` | position code (QB, WR, Edge, IOL, …) |
| `height` / `weight` | listed measurements |
| `high_school` | high school name |
| `hometown` | city, state |
| `star_rating` | 1–5 stars |
| `rating_composite` | numeric rating (Top247 0–100 or Composite 0.0000–1.0000) |
| `national_rank` / `state_rank` / `position_rank` | rankings |
| `committed_college` | school the recruit committed to (empty if uncommitted) |
| `ranking_type` | `top247` or `composite` |

### Input

| field | default | description |
|---|---|---|
| `sport` | `football` | `football` or `basketball` |
| `recruitment_year` | `2027` | recruiting class year |
| `institution_group` | `highschool` | `highschool`, `juco` or `prep` |
| `ranking_type` | `top247` | `top247` (0–100) or `composite` (0.0000–1.0000) |
| `maxItems` | `0` | cap on recruits (`0` = whole ranking page, ~250) |
| `proxyConfiguration` | RESIDENTIAL | uses Apify Residential by default — **no external proxy key needed** |

### How it works

The ranking page is server-rendered, so the scraper parses each recruit row by
stable structural attributes (resistant to cosmetic markup changes). Every ranked
recruit is present in the page markup, so a single fetch returns the full class —
there is no pagination to chase. Requests use a residential proxy for reliable
access; you only supply the ranking parameters.

### Pricing

Pay per result — you are charged once per recruit record written to the dataset.
Compute runs on your own Apify account.

### Notes

This tool collects publicly available college-recruiting ranking data for
research and aggregation.

# Actor input Schema

## `sport` (type: `string`):

Which sport's recruit rankings to scrape.

## `recruitment_year` (type: `integer`):

Recruiting class year, e.g. 2027. 247Sports publishes rankings for the current and upcoming classes.

## `institution_group` (type: `string`):

Recruit pool to rank.

## `ranking_type` (type: `string`):

Top247 = 247Sports' own ranking (0-100 rating). Composite = the 247Sports Composite (0.0000-1.0000, blends major services).

## `maxItems` (type: `integer`):

Maximum number of recruits to return. Default 0 = the whole ranking page (typically ~250 ranked recruits).

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

Proxy used to reach 247sports.com. Apify RESIDENTIAL is recommended and used by default — no external proxy key required.

## Actor input object example

```json
{
  "sport": "football",
  "recruitment_year": 2027,
  "institution_group": "highschool",
  "ranking_type": "top247",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Dataset of ranked recruit records.

# 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 = {
    "sport": "football",
    "recruitment_year": 2027,
    "institution_group": "highschool",
    "ranking_type": "top247",
    "maxItems": 0,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("s7_studio/247sports-recruits-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 = {
    "sport": "football",
    "recruitment_year": 2027,
    "institution_group": "highschool",
    "ranking_type": "top247",
    "maxItems": 0,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("s7_studio/247sports-recruits-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 '{
  "sport": "football",
  "recruitment_year": 2027,
  "institution_group": "highschool",
  "ranking_type": "top247",
  "maxItems": 0,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call s7_studio/247sports-recruits-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,s7_studio/247sports-recruits-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/PudoHPqNdhgxo8Kkf/builds/GnsX0ap4c810NCo4M/openapi.json