Memrise Scraper

Extract vocabulary courses, spaced repetition sets, community-created decks, and language categories from Memrise. Built on spider-browser .

Get started Docs

target
memrise.com: success rate
99.9%: latency
~4ms

POST /fetch/memrise.com/

return_format

curl -X POST https://api.spider.cloud/fetch/memrise.com/ \
  -H "Authorization: Bearer $SPIDER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'

200 OK · cache hit · response shape

{
  "url": "https://memrise.com/",
  "status": 200,
  "data": {
    "course_title": "string",
    "language": "string",
    "creator": "string",
    "word_count": "string",
    "learner_count": "string",
    "level": "string",
    "category": "string"
  }
}

# Memrise Scraper

**Course title**: string
**Language**: string
**Creator**: string
**Word count**: string
**Learner count**: string
**Level**: string
**Category**: string

Quick start

Extract data in minutes.

Structured JSON from memrise.com with a single POST. AI-resolved selectors, cached on the first call.

memrise-scraper.ts

import { SpiderBrowser } from "spider-browser";

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

await spider.connect();
const page = spider.page!;
await page.goto("https://www.memrise.com/courses/english/");

const data = await page.evaluate(`(() => {
  const courses = [];
  document.querySelectorAll(".course-card").forEach(el => {
    const title = el.querySelector(".course-card-title")?.textContent?.trim();
    const creator = el.querySelector(".course-card-creator")?.textContent?.trim();
    const learners = el.querySelector(".course-card-learners")?.textContent?.trim();
    const words = el.querySelector(".course-card-words")?.textContent?.trim();
    if (title) courses.push({ title, creator, learners, words });
  });
  return JSON.stringify({ total: courses.length, courses: courses.slice(0, 15) });
})()`);

console.log(JSON.parse(data));
await spider.close();

curl -X POST https://api.spider.cloud/fetch/memrise.com/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'

import requests

resp = requests.post(
    "https://api.spider.cloud/fetch/memrise.com/",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={"return_format": "json"},
)
print(resp.json())

const resp = await fetch("https://api.spider.cloud/fetch/memrise.com/", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ return_format: "json" }),
});
const data = await resp.json();
console.log(data);