Coursera Course & Specialization Catalog Scraper

Search Coursera's course and specialization catalog by keyword, difficulty or partner university, with rating, learner count, enrollment type and course links.

Open in Apify Store$0.99 / 1K on Free

Short answer

Coursera Course & Specialization Catalog Scraper is an Apify Store Actor that returns 7 published output fields, including name, partnerName, difficultyLevel, avgRating. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 21 input settings; one is required (mode). Last updated Nov 10, 2026.

From the public Store listing and published build schema, synced 2026-11-12.
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What it returns

7 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

  • recordType
  • name
  • partnerName
  • difficultyLevel
  • avgRating
  • learnerCount
  • courseUrl

Input

SettingTypeRequiredDefaultWhat it does
mode string Yes search What to fetch. `bySlug`, `byUrl` and `byIds` always return detail fields for the looked-up products.
query string No – Keyword search (mode=search, searchSpecializations). Optional narrowing keyword for byCategory and byPartner.
startUrls array No [] Course, specialization, professional certificate, guided project, degree or certificate page, or a Coursera search / courses URL. Search URLs are converted into catalog filters.
slugs array No [] Course or specialization slugs, e.g. `machine-learning`. A full Coursera URL is also accepted.
productIds array No [] Coursera product IDs such as `course~8UjeMk-mEeit4g4GsxE4dg` or `s12n~nOOfCDWeEeuiZgo2K4rorQ`. Bare course IDs are also accepted.
productTypes array No [] Limit results to these Coursera product types. Leave empty for every type.
difficulties array No [] Only include products at these difficulty levels.
durations array No [] Only include products in these duration bands.
costs array No [] Only include products with these cost labels.
topics array No [] Only include products in these subject areas (mode=byCategory requires at least one).
Show the other 11 settings
SettingTypeRequiredDefaultWhat it does
languages array No [] Only include products available in these content languages.
subtitleLanguages array No [] Only include products with subtitles in these languages.
handsOnLearningTypes array No [] Only include products with these hands-on learning formats.
tools array No [] Only include products that teach these tools or software skills.
partners array No [] Partner or university names, e.g. `IBM`, `Google`, `Stanford Online`, `DeepLearning.AI`. Matched to the live Coursera partner filter; partial names such as `Stanford` are resolved to the closest partner.
skills array No [] Skill names, e.g. `Python Programming`, `Machine Learning`. Matched to the live skill filter; partial names are resolved when possible.
courseraPlusStatus string No – Filter by Coursera Plus inclusion.
freeOnly boolean No false Only return products whose Coursera cost label is Free. The older audit/verified filter is no longer exposed by Coursera; access flags are included in every record.
sortBy string No BEST_MATCH Result order for search, browse, byCategory and byPartner modes.
maxItems integer No 50 Maximum number of records to return (1-1000).
includeDetails boolean No false Fetch each product page to add instructors, syllabus/modules, total enrollment, page views, rating breakdown, top reviews, learning objectives, recommended background and membership. Slower: one extra request per record. Lookup modes (bySlug/byUrl/byIds) always return detail fields.

Example input

Built from the input form's published example values and defaults.

{
  "mode": "search",
  "query": "machine learning",
  "startUrls": [],
  "slugs": [],
  "productIds": [],
  "productTypes": [
    "COURSE"
  ],
  "difficulties": [],
  "durations": [],
  "costs": [],
  "topics": [],
  "languages": [],
  "subtitleLanguages": [],
  "handsOnLearningTypes": [],
  "tools": [],
  "partners": [],
  "skills": [],
  "freeOnly": false,
  "sortBy": "BEST_MATCH",
  "maxItems": 3,
  "includeDetails": false
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "search",
    "query": "machine learning",
    "startUrls": [],
    "slugs": [],
    "productIds": [],
    "productTypes": [
        "COURSE"
    ],
    "difficulties": [],
    "durations": [],
    "costs": [],
    "topics": [],
    "languages": [],
    "subtitleLanguages": [],
    "handsOnLearningTypes": [],
    "tools": [],
    "partners": [],
    "skills": [],
    "freeOnly": False,
    "sortBy": "BEST_MATCH",
    "maxItems": 3,
    "includeDetails": False
}

run = client.actor("nimbryxo-studio/coursera-course-and-specialization-catalog-scraper").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

pip install apify-client

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "search",
    "query": "machine learning",
    "startUrls": [],
    "slugs": [],
    "productIds": [],
    "productTypes": [
        "COURSE"
    ],
    "difficulties": [],
    "durations": [],
    "costs": [],
    "topics": [],
    "languages": [],
    "subtitleLanguages": [],
    "handsOnLearningTypes": [],
    "tools": [],
    "partners": [],
    "skills": [],
    "freeOnly": false,
    "sortBy": "BEST_MATCH",
    "maxItems": 3,
    "includeDetails": false
};

const run = await client.actor("nimbryxo-studio/coursera-course-and-specialization-catalog-scraper").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

npm install apify-client

cURL

curl -X POST "https://api.apify.com/v2/actors/nimbryxo-studio~coursera-course-and-specialization-catalog-scraper/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"search","query":"machine learning","startUrls":[],"slugs":[],"productIds":[],"productTypes":["COURSE"],"difficulties":[],"durations":[],"costs":[],"topics":[],"languages":[],"subtitleLanguages":[],"handsOnLearningTypes":[],"tools":[],"partners":[],"skills":[],"freeOnly":false,"sortBy":"BEST_MATCH","maxItems":3,"includeDetails":false}'

Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).

MCP (AI agents)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=nimbryxo-studio/coursera-course-and-specialization-catalog-scraper",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

Apify planPer 1,00010,000 results100,000 results
Free plan$0.99$9.90$99
Starter plan$0.82$8.20$82
Scale plan$0.66$6.60$66
Business plan$0.49$4.90$49
  • Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
  • The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
  • Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
  • Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

What people use it for

  • catalog course offerings
  • filter learning programs

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Questions people ask

How much does Coursera Course & Specialization Catalog Scraper cost?

The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.

What data does Coursera Course & Specialization Catalog Scraper return?

Its published output schema lists 7 fields: recordType, name, partnerName, difficultyLevel, avgRating, learnerCount, courseUrl. A listed field is not guaranteed to be filled in every row.

What input does Coursera Course & Specialization Catalog Scraper need?

Required: mode. Optional settings include query, startUrls, slugs, productIds, productTypes, difficulties.

How do I run Coursera Course & Specialization Catalog Scraper from Python or the API?

Use the Apify API client: in Python, ApifyClient(token).actor("nimbryxo-studio/coursera-course-and-specialization-catalog-scraper").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("nimbryxo-studio/coursera-course-and-specialization-catalog-scraper").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/nimbryxo-studio~coursera-course-and-specialization-catalog-scraper/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.

Sources

Actor updated 2026-11-10 Data synced 2026-11-12
Cite this page

Scraper Finder. "Coursera Course & Specialization Catalog Scraper." https://scraperfinder.com/catalogue/coursera-course-and-specialization-catalog-scraper/ (data checked 2026-11-12).

Run Coursera Course & Specialization Catalog Scraper

$0.99 per 1,000 results. Paste the example input above, set your target query, then export the dataset.

Open in Apify Store