# Coursera Scraper — Courses & Ratings | from $1.50/1K (`bovi/coursera-courses-scraper`) Actor

Scrape Coursera by search query: course title, partner/university, rating, review count, difficulty, duration, skills, price, type (COURSE/SPECIALIZATION) and URL. Uses Coursera's official internal GraphQL API.

- **URL**: https://apify.com/bovi/coursera-courses-scraper.md
- **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community)
- **Categories:** Other, AI, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.55 / 1,000 coursera scraper — courses & ratings | from $1.50/1ks

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

## Coursera Scraper — Courses & Ratings | from $1.50/1K

Scrape Coursera courses and specializations by search query. Returns clean structured data for each course: title, partner/university, instructors, rating, review count, difficulty, duration, skills, price info, and URL.

### What it does

- Searches Coursera by any keyword or subject (e.g. "machine learning", "python", "digital marketing")
- Returns courses **and** specializations in one unified dataset
- Fetches instructor names for individual courses via Coursera's REST API
- Cursor-based pagination — handles thousands of results
- Charges **per result** (Pay-Per-Event) — you only pay for what you get

### Output fields

| Field | Type | Description |
|-------|------|-------------|
| `id` | string | Coursera product ID (`course~...` or `s12n~...`) |
| `courseId` | string | Short ID without type prefix |
| `productType` | string | `COURSE`, `SPECIALIZATION`, or `PROFESSIONAL_CERTIFICATE` |
| `name` | string | Course title |
| `partners` | array | Universities / companies offering the course |
| `instructors` | array | Instructor full names (COURSE type only) |
| `rating` | number | Average star rating (0–5) |
| `reviewCount` | integer | Number of ratings |
| `enrollmentCount` | integer | Total enrollments (null — not in public API) |
| `difficulty` | string | `BEGINNER`, `INTERMEDIATE`, `ADVANCED`, `MIXED` |
| `duration` | string | Duration bucket (e.g. `ONE_TO_THREE_MONTHS`) |
| `skills` | array | Skills covered |
| `isFree` | boolean | True if course can be audited for free |
| `isCourseraPlus` | boolean | Included in Coursera Plus subscription |
| `tagline` | string | Marketing tagline |
| `imageUrl` | string | Course thumbnail URL |
| `url` | string | Full course URL |
| `query` | string | Search query used |
| `scrapedAt` | string | ISO 8601 timestamp |

### Input

| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `query` | string | **Yes** | — | Search query (e.g. "python", "machine learning") |
| `maxItems` | integer | No | 100 | Max results to return (0 = unlimited) |
| `proxyConfiguration` | object | No | RESIDENTIAL | Proxy settings |

### Example input

```json
{
  "query": "machine learning",
  "maxItems": 100
}
```

### Access method

Uses Coursera's official internal GraphQL API (`/graphql-gateway?opname=Search`) — the same endpoint the Coursera website SPA calls. Clean JSON output, no HTML parsing, cursor-based pagination. No proxy required for most regions.

### Pricing

Pay-Per-Event: **$1.50 per 1,000 courses** scraped.

# Actor input Schema

## `query` (type: `string`):

Search query to find courses on Coursera (e.g. 'machine learning', 'python', 'data science', 'digital marketing'). Required.

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

Maximum number of courses/specializations to return. Set to 0 for all available results. Default 100.

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

Proxy settings. Coursera's GraphQL API is accessible without proxy for most regions. Use Apify Residential proxy if you see blocks.

## Actor input object example

```json
{
  "query": "machine learning",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Dataset containing Coursera Courses Scraper records (name, productType, partners, instructors, rating, reviewCount, difficulty, duration, skills, isFree, isCourseraPlus, tagline, url, query, scrapedAt).

# 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 = {
    "query": "machine learning",
    "maxItems": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bovi/coursera-courses-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 = {
    "query": "machine learning",
    "maxItems": 100,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("bovi/coursera-courses-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 '{
  "query": "machine learning",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call bovi/coursera-courses-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bovi/coursera-courses-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/0h51iLGVV148eppxg/builds/GQatJ0Wz3dAuLxbq8/openapi.json