Coursera Progress

Data & APIs

Fetch and display Coursera course enrollment, completion progress, grades, certificates, and upcoming deadlines using the Coursera API. Use this skill whenever the user wants to check their Coursera learning progress, see what courses they're enrolled in, review assignment deadlines, track certificate completions, or get a learning summary. Trigger on phrases like "my Coursera courses", "Coursera progress", "check my Coursera", "what's due on Coursera", "Coursera certificate", "online course progress", or "my enrollments".

Install

openclaw skills install coursera-progress

Coursera Progress Skill

Fetch enrollment status, grades, deadlines, and certificates from Coursera via the Coursera REST API v1.

Authentication setup

Coursera uses OAuth 2.0. Two paths:

Path A — Personal access (for learners)

Go to coursera.org/account/api → Generate key
Note the Client ID and Client Secret
Get a token (client credentials flow):

export COURSERA_CLIENT_ID="your_client_id"
export COURSERA_CLIENT_SECRET="your_client_secret"

COURSERA_ACCESS_TOKEN=$(curl -s -X POST \
  "https://api.coursera.com/oauth2/client_credentials/token" \
  -H "Content-Type: application/x-www-form-urlencoded" \
  -d "grant_type=client_credentials&client_id=$COURSERA_CLIENT_ID&client_secret=$COURSERA_CLIENT_SECRET" \
  | python3 -c "import json,sys; print(json.load(sys.stdin)['access_token'])")

export COURSERA_ACCESS_TOKEN

Path B — Unofficial API (no key needed)

Coursera's public endpoints don't require auth for some queries. Use when the user hasn't set up credentials.

Base URL and headers

https://api.coursera.com/api

AUTH_HEADER="Authorization: Bearer $COURSERA_ACCESS_TOKEN"

Core API calls

Get enrollments for a user

# Get your own user ID first
curl -s "https://api.coursera.com/api/users/v1/me" \
  -H "$AUTH_HEADER"

# Then fetch enrollments
curl -s "https://api.coursera.com/api/enrollments.v1?userId=USER_ID&fields=courseId,enrolledAt,grade,completedAt,certificateCode" \
  -H "$AUTH_HEADER"

Get course details by ID

curl -s "https://api.coursera.com/api/courses.v1?ids=COURSE_ID_1,COURSE_ID_2&fields=name,slug,description,specializations" \
  -H "$AUTH_HEADER"

Get on-demand course progress

curl -s "https://api.coursera.com/api/onDemandCourseCompletions.v1?userId=USER_ID&courseId=COURSE_ID&fields=progressPercent,completedAt,grade" \
  -H "$AUTH_HEADER"

Get assignment deadlines

curl -s "https://api.coursera.com/api/onDemandDeadlineSchedules.v1?courseId=COURSE_ID&fields=deadlineSchedule,moduleIds" \
  -H "$AUTH_HEADER"

Get certificate info

curl -s "https://api.coursera.com/api/certificates.v1?userId=USER_ID&fields=courseId,issuedAt,verifyUrl,grade" \
  -H "$AUTH_HEADER"

Search for courses

curl -s "https://api.coursera.com/api/courses.v1?q=search&query=SEARCH_TERM&fields=name,slug,partnerIds,primaryLanguages" \
  -H "$AUTH_HEADER" \
  | python3 -m json.tool

Displaying results

Active enrollments summary:

Your Coursera Courses
─────────────────────────────────────────────────────
📚 Machine Learning Specialization (Stanford/DeepLearning.AI)
   Progress: 68% complete   Grade: 91.4%
   Next deadline: Mar 28 — Week 4 Programming Assignment

📚 Python for Everybody (University of Michigan)
   Progress: 100% ✅  Grade: 96.7%
   Certificate: Issued Jan 12, 2026
   Verify: https://coursera.org/verify/XXXX

📚 SQL for Data Science (UC Davis)
   Progress: 23%  Grade: —
   Next deadline: Apr 3 — Module 2 Quiz
─────────────────────────────────────────────────────
Certificates earned: 1   Active courses: 2

Upcoming deadlines:

Deadlines (next 14 days):
  Mar 28  Week 4 Programming Assignment  — Machine Learning
  Apr 3   Module 2 Quiz                 — SQL for Data Science
  Apr 10  Peer Review Submission        — Machine Learning

Without API credentials (public lookup)

For course search and public course info:

# Public course info (no auth)
curl -s "https://api.coursera.com/api/courses.v1?q=search&query=python&includes=instructors&fields=name,partnerIds,instructorIds,primaryLanguages,workload" \
  | python3 -m json.tool

For personal data (grades, certificates), credentials are required.

Python helper for parsing progress

import json, subprocess, os

def get_enrollments(user_id):
    token = os.environ["COURSERA_ACCESS_TOKEN"]
    r = subprocess.run(
        ["curl", "-s",
         f"https://api.coursera.com/api/enrollments.v1?userId={user_id}"
         f"&fields=courseId,enrolledAt,grade,completedAt,certificateCode",
         "-H", f"Authorization: Bearer {token}"],
        capture_output=True, text=True)
    return json.loads(r.stdout).get("elements", [])

def upcoming_deadlines(enrollments, days=14):
    from datetime import date, timedelta
    cutoff = (date.today() + timedelta(days=days)).isoformat()
    # Parse deadlines per course and filter by date
    ...

Error handling

Error	Meaning	Fix
`401 Unauthorized`	Token expired or missing	Re-run token generation step
`403 Forbidden`	Scope missing on key	Regenerate API key with correct scopes
Empty `elements` array	No enrollments found	Confirm correct user ID
Rate limit (429)	Too many requests	Back off 30s; Coursera is ~100 req/min