Learner reviews of a Coursera course: author name, star rating, text, date, helpful votes and whether the learner completed the course. Filter by stars, order by most helpful or newest. total is the number of matching reviews; pass next_page back as page.
Every response includes credits_used: the credits this call cost.
Parameters
name
type
description
slug
string
The course slug, e.g. machine-learning. Example: machine-learning
url
string
Or a coursera.org/learn/... link.
course_id
string
Or the course id (from /coursera/v1/course).
stars
string
Comma-separated star ratings to keep, e.g. 1,2.
sort
helpful | newest
Order (default helpful).
limit
integer
Results per page (default 20, max 100).
page
integer
Page number (default 1). Pass next_page back; null on the last page.
import os, requests
res = requests.get(
"https://api.api.sh/coursera/v1/reviews",
params={"slug": "machine-learning"},
headers={"x-api-key": os.environ["APISH_KEY"]},
timeout=120,
)
res.raise_for_status()
data = res.json()
const url = new URL("https://api.api.sh/coursera/v1/reviews");
url.searchParams.set("slug", "machine-learning");
const res = await fetch(url, { headers: { "x-api-key": process.env.APISH_KEY } });
if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);
const data = await res.json();
Response
A JSON object with the fields described above, plus raw (the source's own data), cached, fetched_at and credits_used. Errors return {"success": false, "error": "…"} with the HTTP status (see errors). A lookup that ran but found nothing (404) costs the price above; refused calls and errors on our side are free (what's charged).
The fastest way to see the full response is the playground: it runs this endpoint with your account and shows the exact JSON.