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AI Studio  add-on for Spider.
Gaming & Esports
op.gg Verified

OP.GG Scraper

Extract League of Legends player stats, champion data, match history, and tier rankings from OP.GG.

Get started Docs
target
op.gg
success rate
99.9%
latency
~4ms
POST /fetch/op.gg/
return_format
curl -X POST https://api.spider.cloud/fetch/op.gg/ \
  -H "Authorization: Bearer $SPIDER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{}'
200 OK · cache hit · response shape
{
  "url": "https://op.gg/",
  "status": 200,
  "data": {
    "summoner_name": "string",
    "rank": "string",
    "win_rate": "string",
    "top_champions": "string",
    "recent_matches": "string",
    "lp": "string",
    "level": "string",
    "kda": "string"
  }
}
Quick start

Extract data in minutes.

Structured JSON from op.gg with a single POST. Call it with no selectors and the model names the fields, or pass your own CSS to skip the AI.

opgg-scraper.ts
import { SpiderBrowser } from "spider-browser";

const spider = new SpiderBrowser({
  apiKey: process.env.SPIDER_API_KEY!,
  stealth: 2,
});

await spider.connect();
const page = spider.page!;
await page.goto("https://www.op.gg/summoners/na/Doublelift-1lol");

// No selectors, no schema. Spider reads the page and names the fields.
const data = await page.scrape();

console.log(data);
await spider.close();
ready to run · spider-browser · no selectors
Extraction

Fields you can pull.

Summoner nameRankWin rateTop championsRecent matchesLPLevelKDA
Data

Game metadata

Extract prices, reviews, system requirements, and ratings from op.gg.

Rendering

Store page handling

Handle dynamic storefronts, interactive catalogs, and lazy-loaded content.

Scale

Catalog coverage

Process entire game libraries and mod repositories at scale.

Related

More Gaming & Esports scrapers.

Start

Start scraping op.gg.

Grab an API key and call the endpoint above. The first request resolves the config; every request after hits cache.