/bolt-ai-integration

Bolt.new AI and Skillshare integration: Step-by-Step Guide 2025

Step-by-step 2026 guide to integrating Bolt.new AI with Skillshare to boost course creation, automation, and productivity.

Matt Graham, CEO of Rapid Developers

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How to integrate Bolt.new AI with Skillshare?

There is no direct or official “Bolt.new → Skillshare integration API”. Skillshare does not offer a public REST API or OAuth developer platform. Therefore, the only valid ways to “integrate Bolt.new with Skillshare” are indirect ones: either automation around your own Skillshare content (using browser automation or scraping, if allowed), or connecting your Bolt.new project to Skillshare data that you export manually. Any real integration must follow what Skillshare actually supports, not imaginary endpoints.

 

What You CAN realistically build

 

You can use Bolt.new to build tools that interact with parts of Skillshare you control, but NOT directly call Skillshare as an API (because none exists). There are three valid integration strategies:

  • Use Skillshare’s HTML pages as data sources only if you scrape them with permission and in compliance with Skillshare’s Terms of Service.
  • Use browser automation (Playwright/Puppeteer) to log into your own instructor dashboard and collect analytics for yourself.
  • Use manual data export (for example, CSVs of student stats) and let your Bolt.new backend process that data.

These are the only real paths because Skillshare does not publish an API.

 

How to do each approach inside Bolt.new

 

Below is how you would actually implement each option in a Bolt.new project. This is the real engineering way — clear, secure, API‑standards‑only.

 

Approach A — Safe HTML scraping (only your own content, and only if ToS allows)

 

Bolt.new allows you to create a small backend using Node.js. You can fetch public pages and parse them. Do this only for pages you are legally allowed to fetch.

// bolt.new backend route example
import express from "express";
import axios from "axios";
import * as cheerio from "cheerio"; // HTML parser

const router = express.Router();

router.get("/skillshare/course-info", async (req, res) => {
  try {
    const courseUrl = req.query.url; // You provide your own class URL

    const html = await axios.get(courseUrl); // Only public pages if allowed
    const $ = cheerio.load(html.data);

    const title = $("h1").first().text().trim(); // Example selector
    const description = $("meta[name='description']").attr("content");

    res.json({ title, description });
  } catch (err) {
    res.status(500).json({ error: "Unable to fetch course data" });
  }
});

export default router;

This can run inside Bolt.new and your frontend can call /skillshare/course-info to show title/description previews. Again: only allowed for public pages.

 

Approach B — Browser automation login for your own instructor dashboard

 

If you want analytics (minutes watched, revenue, etc.), Skillshare does not provide an API. The only viable method is controlled browser automation on your own account.

The workflow:

  • You run Playwright locally or on your own server (not inside Bolt.new sandbox — automation requires a real browser runtime).
  • You log in manually (Skillshare uses standard login; automation should not bypass security).
  • You extract the analytics HTML and send the data to your Bolt.new backend via a POST webhook.

Your Bolt.new service becomes a receiver:

// In bolt.new - endpoint receiving scraped analytics
router.post("/skillshare/analytics", (req, res) => {
  const analytics = req.body; // Data posted by your own automation script
  // store in DB or process
  res.json({ status: "ok" });
});

This is a valid, real pattern used widely when no API exists.

 

Approach C — Manual data export + Bolt.new ingestion

 

Skillshare instructors sometimes export CSV‑style reports (depending on what they provide in your dashboard). You can upload that file in your Bolt.new frontend, and the backend parses it.

// CSV parser inside bolt.new backend
import fs from "fs";
import csv from "csv-parser";

router.post("/upload-skillshare", (req, res) => {
  const filePath = req.files.report.path;

  const rows = [];
  fs.createReadStream(filePath)
    .pipe(csv())
    .on("data", (row) => rows.push(row))
    .on("end", () => res.json({ parsed: rows }));
});

This is the safest and most compliant method because the data comes directly from you.

 

Auth considerations

 

  • Skillshare has no OAuth and no API keys.
  • Any login automation must be through a real browser you control.
  • Bolt.new cannot automate browsers internally — the environment is sandboxed. You must run the automation externally.
  • You can store any tokens or session cookies that your automation extracts inside your automation system, not inside Bolt.

 

What NOT to do

 

  • Do not attempt to “invent” Skillshare APIs — they do not exist.
  • Do not scrape private pages unless it is your own account and allowed by ToS.
  • Do not store Skillshare credentials inside Bolt.new environment variables — they may not persist and this is unsafe.

 

Summary

 

You cannot directly integrate Bolt.new AI with Skillshare through a native API, because Skillshare does not publish one. What you can do is integrate indirectly: scrape public pages, automate your own dashboard externally and POST data into Bolt.new, or upload exported CSV data. Bolt.new then acts as a processing and analytics layer, not a direct Skillshare client. This is the only technically and legally correct way to connect these two systems today.

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