# Coursera Courses, Ratings & Instructors Scraper (`scrapers_lat/coursera-scraper`) Actor
Scrape Coursera courses by keyword or URL. Extract title, partner, instructors, rating, reviews, enrollment, skills, price, level and certificate type. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/coursera-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Education, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $6.80 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).
If your project is in a different language, use 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
[](https://console.apify.com/actors/xPMQyop1vZH7JqdxF/input)
## Coursera Scraper
> Extract courses, ratings, instructors and enrollment numbers from Coursera by keyword or URL, across the full catalog of 20,000+ courses, specializations and professional certificates
26 fields per record
Full catalog coverage
JSON / CSV / Excel output formats
Updated 2026-07-26
### What you get
Each record is one Coursera product (course, specialization, professional certificate, guided project or degree) with its ratings, pricing signals, skills and provider. Search by keyword or paste any Coursera URL.
- **imageUrl**: course cover image
- **title**: course or program name
- **url**: direct link to the Coursera product page
- **id**: Coursera product id
- **productType**: COURSE, SPECIALIZATION, PROFESSIONAL_CERTIFICATE, GUIDED_PROJECT or DEGREE
- **partner**: the primary university or company offering it
- **partners**: every institution credited on the product
- **partnerLogo**: logo image of the primary partner
- **rating**: average learner rating out of 5
- **reviewCount**: number of ratings behind that score
- **difficultyLevel**: Beginner, Intermediate, Advanced or Mixed
- **durationCategory**: expected time to complete (for example "1 to 3 months")
- **certificateType**: the credential the product awards
- **isFree**: whether the course can be taken free
- **isPartOfCourseraPlus**: whether it is included in a Coursera Plus subscription
- **isCreditEligible**: whether it can count toward academic credit
- **tagline**: the short marketing tagline
- **skills**: the skills the course teaches
- **tools**: named software or tools taught
- **languages**: languages with full audio and subtitles
- **subtitleLanguages**: languages available as subtitles only
- **enrollmentCount\***: total learners enrolled
- **instructors\***: instructor names
- **workload\***: recommended weekly study time and length
- **description\***: full course description
- **sourceQuery**: the keyword or URL that produced this record
- **observedAt**: when this record was last seen by the scraper
*\*These fields only appear when Fetch Course Details is set to true.*
### Who is it for
| Use case | Who benefits |
|---|---|
| Build an edtech course catalog or comparison site | Course aggregators and review sites |
| Track competitor courses, ratings and enrollment | Online education providers |
| Map in-demand skills to available training | L&D and HR teams |
| Research course pricing and free-audit options | Learners and career switchers |
| Feed course data into recommendation engines | Data teams and app builders |
### Frequently Asked Questions
**What Coursera content can this scraper cover?**
It searches the entire public Coursera catalog: individual courses, specializations, professional certificates, guided projects and degrees. You can restrict results to a single product type, difficulty level or language.
**How many courses can I get in one run?**
There is no fixed ceiling. Set Max Courses to the number you want and the scraper paginates through the catalog until it reaches that count or runs out of matches. Each keyword you add runs its own search.
**Can I scrape a specific course instead of searching?**
Yes. Paste one or more course, specialization or search URLs into Coursera URLs. Product URLs return that single product; a search URL runs the keyword behind it.
**Where do the enrollment numbers and instructor names come from?**
Enrollment count, instructor names, the full description and recommended workload are collected when Fetch Course Details is enabled. The listing fields like rating, skills and pricing are always included.
**What happens if a course has no rating or is missing some fields?**
Fields that a given product does not expose (for example workload on a specialization, or a rating on a brand new course) come back empty rather than guessed. Every record still carries the core identification and catalog fields.
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [Chrome Web Store Extensions Scraper](https://apify.com/scrapers_lat/chrome-web-store-scraper): extensions, ratings, users and publisher data from the Chrome Web Store
- [arXiv Research Papers & Abstracts Scraper](https://apify.com/scrapers_lat/arxiv-papers-scraper): titles, authors and abstracts from the arXiv research archive
- [Apple App Store Reviews & Ratings Scraper](https://apify.com/scrapers_lat/app-store-reviews-scraper): user reviews, ratings and versions from the Apple App Store
- [Clinical Trials Scraper](https://apify.com/scrapers_lat/clinicaltrials-scraper): studies, sponsors and conditions from the public clinical trials registry
- [US Patents Scraper](https://apify.com/scrapers_lat/patents-uspto-scraper): patents with assignee, inventor and claims data
- [Amazon Product Price & Reviews Scraper](https://apify.com/scrapers_lat/amazon-product-scraper): product prices, ratings and reviews from Amazon
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Coursera. It only accesses data that is publicly available on the platform. Use it in accordance with Coursera's terms of service.
# Actor input Schema
## `maxCourses` (type: `integer`):
Maximum number of courses to collect across the whole run. Optional.
## `withDetails` (type: `boolean`):
When enabled, fetch each course's detail data to add the full description, instructor names, workload and total enrollment count. Adds a request per course.
## `searchQueries` (type: `array`):
One or more keywords to search the Coursera catalog (e.g. "machine learning", "python", "project management"). Each keyword runs its own search.
## `startUrls` (type: `array`):
Coursera course, specialization or search URLs (e.g. https://www.coursera.org/learn/machine-learning or https://www.coursera.org/search?query=data%20science). Course and specialization URLs return that single product; search URLs run the keyword.
## `productType` (type: `string`):
Restrict results to a single Coursera product type. Leave empty for all types.
## `difficultyLevel` (type: `string`):
Only return courses at this difficulty level. Leave empty for all levels.
## `language` (type: `string`):
Only return courses available in this language (as full audio or subtitles). Leave empty for all languages.
## Actor input object example
```json
{
"maxCourses": 10,
"withDetails": true,
"searchQueries": [
"machine learning"
],
"productType": "",
"difficultyLevel": "",
"language": ""
}
````
# Actor output Schema
## `results` (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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxCourses": 10,
"searchQueries": [
"machine learning"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/coursera-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"maxCourses": 10,
"searchQueries": ["machine learning"],
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/coursera-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxCourses": 10,
"searchQueries": [
"machine learning"
]
}' |
apify call scrapers_lat/coursera-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/coursera-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Coursera Courses, Ratings & Instructors Scraper",
"description": "Scrape Coursera courses by keyword or URL. Extract title, partner, instructors, rating, reviews, enrollment, skills, price, level and certificate type. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "n8zn4a7KIQZsgc3D7"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~coursera-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-coursera-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~coursera-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-coursera-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~coursera-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-coursera-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"maxCourses": {
"title": "Max Courses To Scrape",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of courses to collect across the whole run. Optional."
},
"withDetails": {
"title": "Fetch Course Details",
"type": "boolean",
"description": "When enabled, fetch each course's detail data to add the full description, instructor names, workload and total enrollment count. Adds a request per course.",
"default": true
},
"searchQueries": {
"title": "Search Keywords",
"type": "array",
"description": "One or more keywords to search the Coursera catalog (e.g. \"machine learning\", \"python\", \"project management\"). Each keyword runs its own search.",
"items": {
"type": "string"
}
},
"startUrls": {
"title": "Coursera URLs",
"type": "array",
"description": "Coursera course, specialization or search URLs (e.g. https://www.coursera.org/learn/machine-learning or https://www.coursera.org/search?query=data%20science). Course and specialization URLs return that single product; search URLs run the keyword.",
"items": {
"type": "string"
}
},
"productType": {
"title": "Product Type",
"enum": [
"",
"Courses",
"Specializations",
"Professional Certificates",
"Guided Projects",
"Degrees"
],
"type": "string",
"description": "Restrict results to a single Coursera product type. Leave empty for all types.",
"default": ""
},
"difficultyLevel": {
"title": "Difficulty Level",
"enum": [
"",
"Beginner",
"Intermediate",
"Advanced",
"Mixed"
],
"type": "string",
"description": "Only return courses at this difficulty level. Leave empty for all levels.",
"default": ""
},
"language": {
"title": "Language",
"enum": [
"",
"English",
"Spanish",
"Portuguese",
"French",
"German",
"Italian",
"Arabic",
"Chinese",
"Russian",
"Japanese"
],
"type": "string",
"description": "Only return courses available in this language (as full audio or subtitles). Leave empty for all languages.",
"default": ""
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```