Product Sourcing Tutorial

User inquiry → VPS scraping → Taobao/Pinduoduo/Baidu/1688 → PI → Reply

Quick Jump:

Here is how the complete product sourcing system works — from user chat to PI delivery:

System Flow Diagram

1. User sends inquiry (text + image)

User types: "এই মাউসটার মতো দরকার" + uploads product photo

2. Save to ProductInquiry entity

Inquiry stored with text + image_url, status = "pending"

3. Email alert to admin

SendEmail integration notifies admin: "New product inquiry from [user]"

4. AI recognizes product from image

InvokeLLM with vision model analyzes image → extracts keywords (brand, model, category)

5. Admin opens inquiry dashboard

Admin sees user name, text, image, AI keywords, clicks "Search Products"

6. VPS scrapes Taobao/Pinduoduo/Baidu/1688

Base44 backend function calls VPS API → Playwright browser opens & extracts products

7. Results displayed on admin page

Product name, price, MOQ, seller link, image — shown in a clean list

8. Admin creates Proforma Invoice (PI)

Admin selects products, adds markup, shipping cost → generates PI

9. Reply to user in chat + email

PI sent to user via in-app chat message + email notification

Components we will build:

  • VPS API Server (on 115.29.238.14) — Node.js + Playwright, searches 4 platforms
  • Base44 Backend Function — scrapeProducts bridges app and VPS
  • ProductInquiry Entity — stores inquiries with status tracking
  • Admin Dashboard Page — view inquiries, search products, create PI, reply
  • Email Notifications — admin gets alerted on new inquiry + user gets PI

Server details:

IP: 115.29.238.14 · Region: Hangzhou (China mainland) · OS: Ubuntu 20.04 · 2 vCPU / 2GB RAM

1.1 — SSH into your server

Open Terminal (Mac/Linux) or PowerShell (Windows) and run:

ssh root@115.29.238.14

Enter the root password you set during ordering. You will see a prompt like root@iZbp1...:~#

Expected output:

root@115.29.238.14's password: ********
Welcome to Ubuntu 20.04 LTS (GNU/Linux 5.4.0-generic x86_64)

root@iZbp16bd840bjqfvwjnqxeZ:~#

1.2 — Update the system

apt update && apt upgrade -y

Expected output:

Hit:1 http://mirrors.cloud.aliyuncs.com/ubuntu focal InRelease
Hit:2 http://mirrors.cloud.aliyuncs.com/ubuntu focal-updates InRelease
Reading package lists... Done
Building dependency tree
Reading state information... Done
...
Processing triggers for libc-bin (2.31-0ubuntu9.18) ...
Processing triggers for systemd (245.4-4ubuntu3.18) ...

1.3 — Install Node.js 20 LTS

curl -fsSL https://deb.nodesource.com/setup_20.x | bash -
apt install -y nodejs

# Verify
node -v   # should show v20.x.x
npm -v    # should show 10.x.x

Expected output:

## Installing the NodeSource Node.js 20.x repo...
...
Reading package lists... Done
Setting up nodejs (20.x-1nodesource1) ...

root@iZbp16bd840bjqfvwjnqxeZ:~# node -v
v20.x.x
root@iZbp16bd840bjqfvwjnqxeZ:~# npm -v
10.x.x

1.4 — Install Playwright + Chromium browser

# Install system dependencies for Chromium
apt install -y libnss3 libatk1.0-0 libatk-bridge2.0-0 \
  libcups2 libdrm2 libxkbcommon0 libxcomposite1 libxdamage1 \
  libxrandr2 libgbm1 libpango-1.0-0 libcairo2 libasound2

# Install Playwright globally
npm install -g playwright

# Download Chromium browser
npx playwright install chromium

# Test it works
node -e "const {chromium}=require('playwright'); (async()=>{const b=await chromium.launch();console.log('Browser works!');await b.close();})()"

Expected output:

Reading package lists... Done
libnss3 is already the newest version (3.x-1)
...
added 1 package in 2s

root@iZbp16bd840bjqfvwjnqxeZ:~# npx playwright install chromium
Downloading Chromium 1xx.x.x (playwright build) from
https://playwright.azureedge.net/builds/...
Chromium 1xx.x.x downloaded

root@iZbp16bd840bjqfvwjnqxeZ:~# node -e "..."
Browser works!

1.5 — Install PM2 (keeps server running forever)

npm install -g pm2

Expected output:

added 1 package in 3s
root@iZbp16bd840bjqfvwjnqxeZ:~#
After this step, your VPS has Node.js + Playwright + Chromium ready to automate browsers.

Create a Node.js API server on the VPS that Base44 can call to search products.

2.1 — Create project directory & install packages

mkdir -p /root/scraper-api
cd /root/scraper-api
npm init -y
npm install express cors playwright

Expected output:

root@iZbp16bd840bjqfvwjnqxeZ:~# mkdir -p /root/scraper-api
root@iZbp16bd840bjqfvwjnqxeZ:~# cd /root/scraper-api
root@iZbp16bd840bjqfvwjnqxeZ:/root/scraper-api# npm init -y
Wrote to /root/scraper-api/package.json:

{
  "name": "scraper-api",
  "version": "1.0.0",
  "main": "server.js",
  ...
}

root@iZbp16bd840bjqfvwjnqxeZ:/root/scraper-api# npm install express cors playwright
added 80 packages, and audited 81 packages in 10s
found 0 vulnerabilities

2.2 — Create the API server file

Copy this code and save as /root/scraper-api/server.js on the VPS using nano:

// Save as: /root/scraper-api/server.js

const express = require("express");
const cors = require("cors");
const { chromium } = require("playwright");

const app = express();
app.use(cors());
app.use(express.json());

// API key security — only your Base44 app can call this
const API_KEY = process.env.SCRAPER_API_KEY || "bd2china-secret-2026";

// ─── Taobao Search ───
app.post("/api/search/taobao", async (req, res) => {
  const { keyword, api_key } = req.body;
  if (api_key !== API_KEY) return res.status(401).json({ error: "Unauthorized" });

  const browser = await chromium.launch({ headless: true });
  const page = await browser.newPage();
  try {
    const url = "https://s.taobao.com/search?q=" + encodeURIComponent(keyword);
    await page.goto(url, { waitUntil: "domcontentloaded", timeout: 30000 });
    await page.waitForTimeout(3000);

    const products = await page.$$eval("[class*=Content]", items => {
      return items.slice(0, 10).map(item => {
        const titleEl = item.querySelector("[class*=Title] span, a[title]");
        const priceEl = item.querySelector("[class*=Price]");
        const linkEl = item.querySelector("a[href]");
        const imgEl = item.querySelector("img[src]");
        return {
          title: (titleEl && titleEl.textContent && titleEl.textContent.trim()) || "",
          price: (priceEl && priceEl.textContent && priceEl.textContent.trim()) || "",
          link: linkEl ? linkEl.href : "",
          image: imgEl ? imgEl.src : "",
          platform: "taobao"
        };
      }).filter(p => p.title);
    });

    res.json({ success: true, keyword, count: products.length, products });
  } catch (error) {
    res.json({ success: false, error: error.message, products: [] });
  } finally {
    await browser.close();
  }
});

// ─── Pinduoduo Search ───
app.post("/api/search/pinduoduo", async (req, res) => {
  const { keyword, api_key } = req.body;
  if (api_key !== API_KEY) return res.status(401).json({ error: "Unauthorized" });

  const browser = await chromium.launch({ headless: true });
  const page = await browser.newPage();
  try {
    const url = "https://mobile.yangkeduo.com/proxy/api/search?q=" + encodeURIComponent(keyword);
    await page.goto(url, { waitUntil: "domcontentloaded", timeout: 30000 });
    await page.waitForTimeout(3000);
    const products = await page.$$eval("div[class*=goods]", items => {
      return items.slice(0, 10).map(item => ({
        title: (item.querySelector("[class*=title]") || {}).textContent || "",
        price: (item.querySelector("[class*=price]") || {}).textContent || "",
        image: item.querySelector("img") ? item.querySelector("img").src : "",
        link: item.querySelector("a") ? item.querySelector("a").href : "",
        platform: "pinduoduo"
      })).filter(p => p.title);
    });
    res.json({ success: true, keyword, count: products.length, products });
  } catch (error) {
    res.json({ success: false, error: error.message, products: [] });
  } finally {
    await browser.close();
  }
});

// ─── 1688 (Alibaba) Search ───
app.post("/api/search/1688", async (req, res) => {
  const { keyword, api_key } = req.body;
  if (api_key !== API_KEY) return res.status(401).json({ error: "Unauthorized" });

  const browser = await chromium.launch({ headless: true });
  const page = await browser.newPage();
  try {
    const url = "https://s.1688.com/selloffer/offer_search.htm?keywords=" + encodeURIComponent(keyword);
    await page.goto(url, { waitUntil: "domcontentloaded", timeout: 30000 });
    await page.waitForTimeout(3000);
    const products = await page.$$eval("[class*=offer]", items => {
      return items.slice(0, 10).map(item => ({
        title: (item.querySelector("[class*=title], .title") || {}).textContent || "",
        price: (item.querySelector("[class*=price], .price") || {}).textContent || "",
        image: item.querySelector("img") ? item.querySelector("img").src : "",
        link: item.querySelector("a") ? item.querySelector("a").href : "",
        platform: "1688"
      })).filter(p => p.title);
    });
    res.json({ success: true, keyword, count: products.length, products });
  } catch (error) {
    res.json({ success: false, error: error.message, products: [] });
  } finally {
    await browser.close();
  }
});

// ─── Baidu Search (general product info) ───
app.post("/api/search/baidu", async (req, res) => {
  const { keyword, api_key } = req.body;
  if (api_key !== API_KEY) return res.status(401).json({ error: "Unauthorized" });

  const browser = await chromium.launch({ headless: true });
  const page = await browser.newPage();
  try {
    const url = "https://www.baidu.com/s?wd=" + encodeURIComponent(keyword);
    await page.goto(url, { waitUntil: "domcontentloaded", timeout: 20000 });
    const results = await page.$$eval(".result", items => {
      return items.slice(0, 10).map(item => ({
        title: (item.querySelector("h3 a") || {}).textContent || "",
        link: item.querySelector("h3 a") ? item.querySelector("h3 a").href : "",
        snippet: (item.querySelector("[class*=content], .c-abstract") || {}).textContent || "",
        platform: "baidu"
      })).filter(r => r.title);
    });
    res.json({ success: true, keyword, count: results.length, products: results });
  } catch (error) {
    res.json({ success: false, error: error.message, products: [] });
  } finally {
    await browser.close();
  }
});

// ─── Search ALL platforms ───
app.post("/api/search/all", async (req, res) => {
  const { keyword, api_key } = req.body;
  if (api_key !== API_KEY) return res.status(401).json({ error: "Unauthorized" });

  const platforms = ["taobao", "pinduoduo", "1688", "baidu"];
  const allResults = {};

  for (const platform of platforms) {
    try {
      const resp = await fetch("http://localhost:3000/api/search/" + platform, {
        method: "POST",
        headers: { "Content-Type": "application/json" },
        body: JSON.stringify({ keyword, api_key })
      });
      allResults[platform] = await resp.json();
    } catch (e) {
      allResults[platform] = { success: false, error: e.message, products: [] };
    }
  }

  res.json({ success: true, keyword, results: allResults });
});

// ─── Health check ───
app.get("/api/health", (req, res) => {
  res.json({ status: "ok", server: "bd2china-scraper", time: new Date().toISOString() });
});

const PORT = 3000;
app.listen(PORT, "0.0.0.0", () => {
  console.log("Scraper API running on port " + PORT);
});

📝 How to save code with nano editor

  1. Type nano server.js and press Enter
  2. You are now inside nano — a blank text editor with menu options at the bottom
  3. Scroll up to the grey code box above and click the Copy button
  4. Paste into nano: Windows → right-click or Ctrl+Shift+V · Mac → Cmd+V
  5. Press Ctrl+O (letter O) then Enter to save
  6. Press Ctrl+X to exit nano
  7. Verify: ls -la server.js → should show the file

⚠️ Do NOT paste code directly into the terminal!

If you see -bash: syntax error near unexpected token — you pasted JavaScript into the shell instead of nano. The terminal runs shell commands, not JavaScript. Open nano first, then paste inside it.


2.3 — Start the server with PM2

cd /root/scraper-api

# Set API key as environment variable
export SCRAPER_API_KEY="bd2china-secret-2026"

# Start with PM2 (auto-restarts on crash)
pm2 start server.js --name scraper-api

# Save PM2 config (auto-start on reboot)
pm2 save
pm2 startup

# Check it is running
pm2 status
curl http://localhost:3000/api/health

Expected output:

root@iZbp16bd840bjqfvwjnqxeZ:/root/scraper-api# pm2 start server.js --name scraper-api
[PM2] Starting /root/scraper-api/server.js in fork_mode (1 instance)
[PM2] Done.
+---+------------------+----------+---------+----------+
| id| name             | mode     | status  | restarts |
+---+------------------+----------+---------+----------+
| 0 | scraper-api      | fork     | online  | 0        |
+---+------------------+----------+---------+----------+

root@iZbp16bd840bjqfvwjnqxeZ:/root/scraper-api# pm2 save
[PM2] Saving current process list...
[PM2] Successfully saved in /root/.pm2/dump.pm2

root@iZbp16bd840bjqfvwjnqxeZ:/root/scraper-api# pm2 startup
[PM2] Init System found: systemd
...
[PM2] [v] Command successfully executed.

root@iZbp16bd840bjqfvwjnqxeZ:/root/scraper-api# pm2 status
+---+------------------+-----------+
| id| name             | status    |
+---+------------------+-----------+
| 0 | scraper-api      | online    |
+---+------------------+-----------+

root@iZbp16bd840bjqfvwjnqxeZ:/root/scraper-api# curl http://localhost:3000/api/health
{"status":"ok","server":"bd2china-scraper","time":"2026-07-08T..."}

Security: Open port 3000 in Alibaba Cloud

Go to your ECS console → Security Group → Add Inbound Rule:

  • Port range: 3000/3000
  • Authorization: Source IP = 0.0.0.0/0
  • Action: Allow
Your VPS now has an API at http://115.29.238.14:3000 that can search Taobao, Pinduoduo, 1688, and Baidu.

Run these commands on your VPS to confirm everything is working. Copy-paste each one and check the output matches.

Run these on your VPS:

# ===== 1. Check Node.js =====
node -v
# Expected: v20.x.x

# ===== 2. Check npm =====
npm -v
# Expected: 10.x.x

# ===== 3. Check PM2 is installed =====
pm2 -v
# Expected: 5.x.x

# ===== 4. Check scraper-api is running =====
pm2 status
# Expected: scraper-api -> online

# ===== 5. Check Playwright + Chromium =====
npx playwright --version
# Expected: Version 1.xx.x

# ===== 6. Check server health endpoint =====
curl http://localhost:3000/api/health
# Expected: {"status":"ok","server":"bd2china-scraper",...}

# ===== 7. Check port 3000 is listening =====
ss -tlnp | grep 3000
# Expected: LISTEN 0.0.0.0:3000 (node server.js)

# ===== 8. Check from OUTSIDE the VPS (run on your laptop) =====
curl http://115.29.238.14:3000/api/health
# Expected: {"status":"ok",...}
# If this fails -> security group port 3000 not open yet

Expected output (all green = you are good):

root@iZbp16bd840bjqfvwjnqxeZ:~# node -v
v20.x.x

root@iZbp16bd840bjqfvwjnqxeZ:~# npm -v
10.x.x

root@iZbp16bd840bjqfvwjnqxeZ:~# pm2 -v
5.x.x

root@iZbp16bd840bjqfvwjnqxeZ:~# pm2 status
+---+------------------+-----------+
| id| name             | status    |
+---+------------------+-----------+
| 0 | scraper-api      | online    |
+---+------------------+-----------+

root@iZbp16bd840bjqfvwjnqxeZ:~# npx playwright --version
Version 1.xx.x

root@iZbp16bd840bjqfvwjnqxeZ:~# curl http://localhost:3000/api/health
{"status":"ok","server":"bd2china-scraper","time":"2026-07-08T..."}

root@iZbp16bd840bjqfvwjnqxeZ:~# ss -tlnp | grep 3000
LISTEN  0  0  0.0.0.0:3000  0.0.0.0:*  users:(("node",pid=12345,fd=18))

If all commands return the expected output → your VPS is 100% ready!

If any check fails, go back to the step that installed it and re-run the commands.

If step 8 (outside curl) fails:

Your server works locally but is blocked by Alibaba Cloud's security group. Go to:

ECS Console → Instances → Security Groups → Add Inbound Rule → Port 3000 → Source 0.0.0.0/0 → Allow

Store the VPS IP and API key as secrets so backend functions can call the VPS securely.

SCRAPER_VPS_IP115.29.238.14

SCRAPER_VPS_PORT3000

SCRAPER_API_KEYbd2china-secret-2026

Tell the chat: "Set secrets: SCRAPER_VPS_IP, SCRAPER_VPS_PORT, SCRAPER_API_KEY"

The AI will create a secrets form for you to fill in securely.

This function sits in Base44 and calls the VPS API when admin searches for products.

// File: base44/functions/scrapeProducts/entry.ts

import { createClientFromRequest } from "npm:@base44/sdk@0.8.31";

Deno.serve(async (req) => {
  try {
    const base44 = createClientFromRequest(req);
    const user = await base44.auth.me();
    if (!user) return Response.json({ error: "Unauthorized" }, { status: 401 });

    const body = await req.json();
    const keyword = body.keyword;
    const platform = body.platform || "all";
    const inquiryId = body.inquiry_id;

    const VPS_IP = Deno.env.get("SCRAPER_VPS_IP");
    const VPS_PORT = Deno.env.get("SCRAPER_VPS_PORT") || "3000";
    const API_KEY = Deno.env.get("SCRAPER_API_KEY");

    const vpsUrl = "http://" + VPS_IP + ":" + VPS_PORT + "/api/search/" + platform;
    const vpsResponse = await fetch(vpsUrl, {
      method: "POST",
      headers: { "Content-Type": "application/json" },
      body: JSON.stringify({ keyword, api_key: API_KEY })
    });

    const data = await vpsResponse.json();

    if (inquiryId && data.success) {
      await base44.asServiceRole.entities.ProductInquiry.update(inquiryId, {
        search_results: JSON.stringify(data.results || data.products || []),
        status: "searched"
      });
    }

    return Response.json({ success: true, data });
  } catch (error) {
    return Response.json({ error: error.message }, { status: 500 });
  }
});

Ask the AI builder: "Create the scrapeProducts backend function" after setting the secrets.

A database table to store every product inquiry from users.

{
  "name": "ProductInquiry",
  "type": "object",
  "properties": {
    "user_id": { "type": "string" },
    "user_name": { "type": "string" },
    "user_email": { "type": "string" },
    "user_phone": { "type": "string" },
    "image_url": { "type": "string" },
    "ai_identified_keywords": { "type": "string" },
    "ai_product_name": { "type": "string" },
    "product_keyword": { "type": "string" },
    "product_description": { "type": "string" },
    "quantity_needed": { "type": "integer" },
    "target_price": { "type": "number" },
    "platforms_searched": {
      "type": "array",
      "items": { "type": "string", "enum": ["taobao","pinduoduo","1688","baidu"] }
    },
    "search_results": { "type": "string" },
    "selected_products": { "type": "string" },
    "pi_data": {
      "type": "object",
      "properties": {
        "pi_number": { "type": "string" },
        "items": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "name": { "type": "string" },
              "price": { "type": "number" },
              "quantity": { "type": "integer" },
              "total": { "type": "number" }
            }
          }
        },
        "subtotal": { "type": "number" },
        "shipping_cost": { "type": "number" },
        "total": { "type": "number" },
        "currency": { "type": "string", "default": "CNY" },
        "valid_until": { "type": "string" }
      }
    },
    "status": {
      "type": "string",
      "enum": ["pending","searched","pi_created","replied","closed"],
      "default": "pending"
    },
    "admin_notes": { "type": "string" },
    "reply_message": { "type": "string" }
  },
  "required": ["user_id", "product_keyword"]
}

Status flow:

pending → searched → pi_created → replied → closed

When a user sends a product request, it gets saved to the database AND emails the admin.

A

এই মাউসটার মতো দরকার, ৫০০ পিস। দাম ১৫ ইউয়ানের নিচে হলে ভালো।

আপনার অনুরোধ গ্রহণ করা হয়েছে! আমরা Taobao/1688 এ খুঁজছি। ফলাফল কিছুক্ষণের মধ্যে পাবেন।

ProductInquiry record created (status: pending)
Admin receives email: "New Product Inquiry — wireless mouse x500"
User gets confirmation message in chat

When a user uploads a product image, the system uses LLM vision to identify the product and search automatically.

AI Image Analysis...

Detected: Wireless Mouse, 2.4GHz, Black, Ergonomic Design

Chinese keyword: 无线鼠标 2.4G 黑色

// File: base44/functions/identifyProductFromImage/entry.ts

import { createClientFromRequest } from "npm:@base44/sdk@0.8.31";

Deno.serve(async (req) => {
  try {
    const base44 = createClientFromRequest(req);
    const user = await base44.auth.me();
    if (!user) return Response.json({ error: "Unauthorized" }, { status: 401 });

    const body = await req.json();
    const { inquiry_id, image_url, user_text } = body;

    // Step 1: Use LLM vision to identify the product from the image
    const identification = await base44.asServiceRole.integrations.Core.InvokeLLM({
      prompt: "You are a product identification expert. Look at this product image and identify:\n" +
        "1. Product name (in English)\n" +
        "2. Chinese name (for Taobao/1688 search)\n" +
        "3. Brand (if visible)\n" +
        "4. Category\n" +
        "5. Key features (color, size, material, model number if visible)\n" +
        "6. Best search keyword for Chinese e-commerce\n\n" +
        "User also said: " + (user_text || "(no text)"),
      file_urls: [image_url],
      response_json_schema: {
        type: "object",
        properties: {
          product_name_en: { type: "string" },
          product_name_cn: { type: "string" },
          brand: { type: "string" },
          category: { type: "string" },
          key_features: { type: "string" },
          search_keyword: { type: "string" },
          search_keyword_cn: { type: "string" }
        }
      }
    });

    // Step 2: Save results to the inquiry
    if (inquiry_id) {
      await base44.asServiceRole.entities.ProductInquiry.update(inquiry_id, {
        ai_product_name: identification.product_name_en || "",
        ai_identified_keywords: JSON.stringify(identification),
        product_keyword: identification.search_keyword_cn || identification.search_keyword || identification.product_name_en || "",
      });
    }

    return Response.json({
      success: true,
      identification,
      search_keyword: identification.search_keyword_cn || identification.search_keyword || identification.product_name_en
    });
  } catch (error) {
    return Response.json({ error: error.message }, { status: 500 });
  }
});

Why this works:

The InvokeLLM integration supports file_urls — pass the uploaded image URL and the LLM vision model will analyze it. The prompt asks for Chinese keywords so the VPS scraper can search Taobao/1688 in Chinese for better results.

Admin selects products from search results and builds a Proforma Invoice.

Proforma Invoice — PI-2026-001
To: Anwar Hossain
Date: 2026-07-08
Valid until: 2026-07-15
Currency: CNY ¥
ProductQtyUnit PriceTotal
Wireless Mouse 2.4G (Taobao)500¥8.50¥4,250
Shipping (BD → Dhaka, Air Cargo)——¥800
Grand Total¥5,050
  • Selected products with platform source
  • Quantity & unit price in CNY
  • Shipping cost (air cargo / sea freight)
  • Grand total · Validity date (7 days) · PI number

PI is sent to the user both in-app chat and via email.

PI-2026-001 তৈরি হয়েছে!

আপনার অনুরোধ অনুযায়ী ৫০০ পিস wireless mouse খুঁজে পেয়েছি।

Wireless Mouse 2.4G × 500

একক দাম: ¥8.50

শিপিং: ¥800 (Air Cargo, 7-10 দিন)

মোট: ¥5,050 (~৳92,000)

PI টি ৭ দিন পর্যন্ত বৈধ। অর্ডার কনফার্ম করতে রিপ্লাই দিন।

Complete! The user received their PI with real product data scraped from China's biggest e-commerce platforms, all powered by your Alibaba Cloud VPS in Hangzhou.

Complete Checklist

1Create identifyProductFromImage backend function (LLM vision)
2SSH into 115.29.238.14 with root password
3Install Node.js 20 + Playwright + Chromium
4Create /root/scraper-api/server.js (API server)
5Start with PM2 + open port 3000 in security group
6Set secrets: SCRAPER_VPS_IP, SCRAPER_VPS_PORT, SCRAPER_API_KEY
7Create scrapeProducts backend function in Base44
8Create ProductInquiry entity
9Build Admin Product Inquiry dashboard page
10Wire up user chat → save inquiry → email admin
11Admin searches → VPS scrapes → results displayed
12Admin creates PI → replies to user in chat + email

Ready to build?

Tell the chat what you want to build next:

"Set secrets for the scraper VPS: SCRAPER_VPS_IP, SCRAPER_VPS_PORT, SCRAPER_API_KEY"
"Create the ProductInquiry entity"
"Create the scrapeProducts backend function"
"Build the Admin Product Inquiry dashboard page (with image display)"