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How to Build a Reviews & Ratings with Lovable

Build a reviews and ratings system in Lovable where users submit 1-5 star reviews on any item, a database trigger recalculates the average score automatically, and admins moderate submissions through a DataTable. A unique constraint prevents duplicate reviews per user per item. Rate limiting and a profanity check via Edge Function protect the system from abuse.

What you'll build

  • Reviewable items table with average_rating auto-updated by a database trigger
  • Star rating component using interactive Button rows for 1-5 selection
  • Review submission form with rating, title, and body — one review per user per item enforced by unique constraint
  • Moderation DataTable with approve/reject actions and status Badge
  • Upvote/downvote system on review_votes table with unique constraint per user per review
  • Public reviews list filtered to approved status only, sorted by helpfulness votes
  • Profanity filter and rate limiting via Supabase Edge Function
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Beginner15 min read2-3 hoursLovable (any plan), Supabase Free tierApril 2026RapidDev Engineering Team
TL;DR

Build a reviews and ratings system in Lovable where users submit 1-5 star reviews on any item, a database trigger recalculates the average score automatically, and admins moderate submissions through a DataTable. A unique constraint prevents duplicate reviews per user per item. Rate limiting and a profanity check via Edge Function protect the system from abuse.

What you're building

A trust layer that can be added to any Lovable app — products, services, blog posts, vendors, or any item type. Authenticated users submit reviews with a star rating and optional text. A PostgreSQL trigger fires on every insert or delete to recalculate the item's average_rating without any application code. Admins approve reviews before they go public and can reject inappropriate content. Review votes let readers mark helpful reviews so the best ones surface first.

Final result

A live reviews widget that shows the star distribution, total review count, and individual approved reviews sorted by helpfulness. An admin moderation panel at /admin/reviews handles the content queue.

Tech stack

LovableAI-assisted UI and project scaffolding
SupabasePostgreSQL, database triggers for average calculation, RLS, Edge Functions
shadcn/uiCard, Badge, DataTable, Dialog, Form, Button, Tabs, DropdownMenu
React Hook Form + ZodReview form validation
Lucide ReactStar icons for rating display

Prerequisites

  • Lovable account (Free plan works)
  • Supabase project with Auth enabled
  • Supabase project URL and anon key ready
  • Basic familiarity with Lovable's chat prompt interface

Build steps

1

Create the schema with triggers and unique constraints

Run this SQL in Supabase. The average_rating column on reviewable_items is maintained by a trigger — every time a review is inserted, updated, or deleted, the trigger recalculates the average for that item automatically.

supabase_schema.sql
1-- Run in Supabase SQL Editor
2create table public.reviewable_items (
3 id uuid primary key default gen_random_uuid(),
4 name text not null,
5 description text,
6 average_rating numeric(3,2) not null default 0,
7 review_count integer not null default 0,
8 created_at timestamptz not null default now()
9);
10
11create table public.reviews (
12 id uuid primary key default gen_random_uuid(),
13 item_id uuid not null references public.reviewable_items(id) on delete cascade,
14 user_id uuid not null references auth.users(id),
15 rating integer not null check (rating between 1 and 5),
16 title text,
17 body text,
18 status text not null default 'pending' check (status in ('pending','approved','rejected')),
19 helpful_count integer not null default 0,
20 created_at timestamptz not null default now(),
21 unique (item_id, user_id)
22);
23
24create table public.review_votes (
25 id uuid primary key default gen_random_uuid(),
26 review_id uuid not null references public.reviews(id) on delete cascade,
27 user_id uuid not null references auth.users(id),
28 vote text not null check (vote in ('helpful','unhelpful')),
29 unique (review_id, user_id)
30);
31
32-- Trigger to recalculate average_rating and review_count
33create or replace function public.recalculate_item_rating()
34returns trigger language plpgsql as $$
35declare
36 target_item_id uuid;
37begin
38 target_item_id := coalesce(new.item_id, old.item_id);
39 update public.reviewable_items
40 set
41 average_rating = coalesce((select avg(rating) from public.reviews where item_id = target_item_id and status = 'approved'), 0),
42 review_count = (select count(*) from public.reviews where item_id = target_item_id and status = 'approved')
43 where id = target_item_id;
44 return new;
45end;
46$$;
47
48create trigger reviews_rating_trigger
49after insert or update or delete on public.reviews
50for each row execute function public.recalculate_item_rating();
51
52alter table public.reviewable_items enable row level security;
53alter table public.reviews enable row level security;
54alter table public.review_votes enable row level security;
55
56-- Public can read items and approved reviews
57create policy "public_read_items" on public.reviewable_items for select to anon using (true);
58create policy "public_read_approved_reviews" on public.reviews for select to anon using (status = 'approved');
59
60-- Authenticated users can submit reviews and votes
61create policy "auth_insert_review" on public.reviews for insert to authenticated with check (user_id = auth.uid());
62create policy "auth_vote" on public.review_votes for insert to authenticated with check (user_id = auth.uid());
63create policy "auth_read_own_review" on public.reviews for select to authenticated using (user_id = auth.uid() or status = 'approved');
64
65-- Admins can update review status
66create policy "admin_update_reviews" on public.reviews for update to authenticated using (true);

Pro tip: The trigger only counts approved reviews in the average. This means approving a review in the admin panel automatically updates the item's score without any extra code.

Expected result: Three tables appear in Supabase Table Editor. In the Database → Functions section you can see recalculate_item_rating. Submitting and approving a test review should update the item's average_rating automatically.

2

Scaffold the project with Lovable

Connect Supabase in Lovable's Cloud tab and use the prompt below to generate the reviews widget, public item page, and admin moderation panel.

prompt.txt
1// Lovable prompt — paste into chat
2// Build a reviews and ratings system with Supabase.
3// Tables: reviewable_items (name, average_rating, review_count), reviews (rating 1-5, title, body, status, helpful_count), review_votes.
4// Pages:
5// /items/[id] — public page: item name, average star display (filled/empty stars), review count,
6// list of approved reviews (Card per review: stars, title, body, date, helpful count, Vote Helpful button),
7// Review submission form at bottom (star selector, title Input, body Textarea).
8// If user already reviewed this item show their existing review instead of the form.
9// /admin/reviews — protected DataTable: reviewer, item, rating stars, title, status Badge, created_at, Actions.
10// Actions DropdownMenu: Approve, Reject.
11// Tabs: All | Pending | Approved | Rejected.
12// Use shadcn/ui throughout. Star rating uses 5 Button components with Star icon fill toggling.

Pro tip: After generation, ask Lovable to add a rating distribution breakdown — a small bar showing how many 5-star, 4-star, etc. reviews exist. This improves the trust signal on the item page.

Expected result: Lovable generates the item detail page with a star selector, reviews list, and the admin moderation DataTable. Preview shows placeholder stars and an empty reviews list.

3

Build the interactive star rating component

The star rating selector shows five stars that fill on hover and lock on click. It uses local hover state and a selected value controlled by React Hook Form.

src/components/StarRating.tsx
1// src/components/StarRating.tsx
2import { useState } from 'react'
3import { Star } from 'lucide-react'
4import { cn } from '@/lib/utils'
5
6type Props = {
7 value: number
8 onChange: (value: number) => void
9 readonly?: boolean
10 size?: 'sm' | 'md' | 'lg'
11}
12
13const sizes = { sm: 'h-4 w-4', md: 'h-6 w-6', lg: 'h-8 w-8' }
14
15export function StarRating({ value, onChange, readonly = false, size = 'md' }: Props) {
16 const [hovered, setHovered] = useState(0)
17
18 return (
19 <div className="flex gap-1">
20 {[1, 2, 3, 4, 5].map(star => (
21 <button
22 key={star}
23 type="button"
24 disabled={readonly}
25 onClick={() => !readonly && onChange(star)}
26 onMouseEnter={() => !readonly && setHovered(star)}
27 onMouseLeave={() => !readonly && setHovered(0)}
28 className={cn('focus:outline-none', !readonly && 'cursor-pointer hover:scale-110 transition-transform')}
29 aria-label={`${star} star${star !== 1 ? 's' : ''}`}
30 >
31 <Star
32 className={cn(
33 sizes[size],
34 (hovered || value) >= star ? 'fill-yellow-400 text-yellow-400' : 'text-muted-foreground'
35 )}
36 />
37 </button>
38 ))}
39 </div>
40 )
41}

Pro tip: Use the readonly prop to display static star ratings on review cards. Pass the numeric average_rating (e.g., 3.7) by rounding it to the nearest integer for display, and show the exact decimal next to the stars.

Expected result: Stars highlight yellow on hover from left to right. Clicking locks the selection. The component works in both interactive and readonly modes.

4

Build the review submission form with duplicate prevention

Before showing the form, check if the current user already reviewed this item. If they have, show their existing review. If they submit and the unique constraint fires, show a friendly error instead of a raw Supabase error.

src/components/ReviewForm.tsx
1// src/components/ReviewForm.tsx
2import { useEffect, useState } from 'react'
3import { useForm, Controller } from 'react-hook-form'
4import { zodResolver } from '@hookform/resolvers/zod'
5import { z } from 'zod'
6import { supabase } from '@/lib/supabase'
7import { StarRating } from './StarRating'
8import { Button } from '@/components/ui/button'
9import { Input } from '@/components/ui/input'
10import { Textarea } from '@/components/ui/textarea'
11import { Form, FormField, FormItem, FormLabel, FormControl, FormMessage } from '@/components/ui/form'
12import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card'
13import { Badge } from '@/components/ui/badge'
14import { toast } from 'sonner'
15
16const schema = z.object({
17 rating: z.number().min(1, 'Please select a star rating').max(5),
18 title: z.string().max(120).optional(),
19 body: z.string().max(1000).optional()
20})
21type FormValues = z.infer<typeof schema>
22
23type Props = { itemId: string }
24
25export function ReviewForm({ itemId }: Props) {
26 const [existing, setExisting] = useState<any>(null)
27 const [loading, setLoading] = useState(true)
28
29 const form = useForm<FormValues>({
30 resolver: zodResolver(schema),
31 defaultValues: { rating: 0 }
32 })
33
34 useEffect(() => {
35 supabase.auth.getUser().then(({ data: { user } }) => {
36 if (!user) { setLoading(false); return }
37 supabase.from('reviews').select('*').eq('item_id', itemId).eq('user_id', user.id).maybeSingle()
38 .then(({ data }) => { setExisting(data); setLoading(false) })
39 })
40 }, [itemId])
41
42 async function onSubmit(values: FormValues) {
43 const { data: { user } } = await supabase.auth.getUser()
44 if (!user) { toast.error('Sign in to leave a review'); return }
45 const { error } = await supabase.from('reviews').insert({
46 item_id: itemId, user_id: user.id, ...values
47 })
48 if (error?.code === '23505') {
49 toast.error('You already reviewed this item')
50 return
51 }
52 if (error) { toast.error('Failed to submit review'); return }
53 toast.success('Review submitted — it will appear after moderation')
54 form.reset()
55 }
56
57 if (loading) return null
58
59 if (existing) return (
60 <Card><CardHeader><CardTitle>Your Review</CardTitle></CardHeader>
61 <CardContent className="space-y-2">
62 <StarRating value={existing.rating} onChange={() => {}} readonly />
63 {existing.title && <p className="font-medium">{existing.title}</p>}
64 {existing.body && <p className="text-sm text-muted-foreground">{existing.body}</p>}
65 <Badge variant="outline">{existing.status}</Badge>
66 </CardContent>
67 </Card>
68 )
69
70 return (
71 <Card><CardHeader><CardTitle>Write a Review</CardTitle></CardHeader>
72 <CardContent>
73 <Form {...form}>
74 <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-4">
75 <Controller control={form.control} name="rating" render={({ field }) => (
76 <FormItem><FormLabel>Rating</FormLabel>
77 <StarRating value={field.value} onChange={field.onChange} size="lg" />
78 {form.formState.errors.rating && <p className="text-sm text-destructive">{form.formState.errors.rating.message}</p>}
79 </FormItem>
80 )} />
81 <FormField control={form.control} name="title" render={({ field }) => (
82 <FormItem><FormLabel>Title (optional)</FormLabel><FormControl><Input placeholder="Summary" {...field} /></FormControl><FormMessage /></FormItem>
83 )} />
84 <FormField control={form.control} name="body" render={({ field }) => (
85 <FormItem><FormLabel>Review (optional)</FormLabel><FormControl><Textarea placeholder="Share your experience" {...field} /></FormControl><FormMessage /></FormItem>
86 )} />
87 <Button type="submit" disabled={form.formState.isSubmitting}>Submit Review</Button>
88 </form>
89 </Form>
90 </CardContent>
91 </Card>
92 )
93}

Expected result: Unauthenticated users see a 'Sign in to leave a review' toast. Authenticated users see the form. After submitting, a pending badge shows on their review. Submitting twice shows the duplicate error message.

5

Build the admin moderation DataTable with Tabs

The admin moderation panel shows all reviews filtered by status. Approving a review triggers the database trigger which recalculates the item's average_rating automatically.

src/pages/AdminReviews.tsx
1// src/pages/AdminReviews.tsx (key section)
2import { useEffect, useState } from 'react'
3import { supabase } from '@/lib/supabase'
4import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs'
5import { Badge } from '@/components/ui/badge'
6import { Button } from '@/components/ui/button'
7import { DataTable } from '@/components/ui/data-table'
8import { DropdownMenu, DropdownMenuContent, DropdownMenuItem, DropdownMenuTrigger } from '@/components/ui/dropdown-menu'
9import { MoreHorizontal } from 'lucide-react'
10import { toast } from 'sonner'
11import type { ColumnDef } from '@tanstack/react-table'
12
13type Review = { id: string; rating: number; title: string; status: string; created_at: string; reviewable_items: { name: string } }
14
15const statusVariants: Record<string, 'default' | 'secondary' | 'destructive' | 'outline'> = {
16 pending: 'secondary', approved: 'default', rejected: 'destructive'
17}
18
19export function AdminReviews() {
20 const [reviews, setReviews] = useState<Review[]>([])
21 const [tab, setTab] = useState('all')
22
23 useEffect(() => {
24 supabase.from('reviews').select('*, reviewable_items(name)').order('created_at', { ascending: false })
25 .then(({ data }) => setReviews(data ?? []))
26 }, [])
27
28 async function updateStatus(id: string, status: string) {
29 const { error } = await supabase.from('reviews').update({ status }).eq('id', id)
30 if (error) { toast.error('Update failed'); return }
31 setReviews(prev => prev.map(r => r.id === id ? { ...r, status } : r))
32 toast.success(`Review ${status}`)
33 }
34
35 const filtered = tab === 'all' ? reviews : reviews.filter(r => r.status === tab)
36
37 const columns: ColumnDef<Review>[] = [
38 { accessorKey: 'reviewable_items.name', header: 'Item' },
39 { accessorKey: 'rating', header: 'Rating', cell: ({ row }) => `${'★'.repeat(row.original.rating)}${'☆'.repeat(5 - row.original.rating)}` },
40 { accessorKey: 'title', header: 'Title' },
41 { accessorKey: 'status', header: 'Status', cell: ({ row }) => <Badge variant={statusVariants[row.original.status]}>{row.original.status}</Badge> },
42 { id: 'actions', cell: ({ row }) => (
43 <DropdownMenu>
44 <DropdownMenuTrigger asChild><Button variant="ghost" size="icon"><MoreHorizontal className="h-4 w-4" /></Button></DropdownMenuTrigger>
45 <DropdownMenuContent>
46 <DropdownMenuItem onClick={() => updateStatus(row.original.id, 'approved')}>Approve</DropdownMenuItem>
47 <DropdownMenuItem onClick={() => updateStatus(row.original.id, 'rejected')}>Reject</DropdownMenuItem>
48 </DropdownMenuContent>
49 </DropdownMenu>
50 )}
51 ]
52
53 return (
54 <div className="p-6">
55 <Tabs value={tab} onValueChange={setTab}>
56 <TabsList><TabsTrigger value="all">All</TabsTrigger><TabsTrigger value="pending">Pending</TabsTrigger><TabsTrigger value="approved">Approved</TabsTrigger><TabsTrigger value="rejected">Rejected</TabsTrigger></TabsList>
57 <TabsContent value={tab}><DataTable columns={columns} data={filtered} /></TabsContent>
58 </Tabs>
59 </div>
60 )
61}

Pro tip: When you approve a review, the database trigger fires automatically and recalculates reviewable_items.average_rating. You can verify this by checking the item's row in Supabase Table Editor after approving.

Expected result: The admin table shows all reviews across all statuses. Switching tabs filters correctly. Clicking Approve updates the Badge instantly and triggers the database average recalculation.

Complete code

src/components/StarRating.tsx
1import { useState } from 'react'
2import { Star } from 'lucide-react'
3import { cn } from '@/lib/utils'
4
5type Props = {
6 value: number
7 onChange: (value: number) => void
8 readonly?: boolean
9 size?: 'sm' | 'md' | 'lg'
10 showLabel?: boolean
11}
12
13const sizeClasses = {
14 sm: 'h-4 w-4',
15 md: 'h-6 w-6',
16 lg: 'h-8 w-8'
17}
18
19const labels: Record<number, string> = {
20 1: 'Terrible',
21 2: 'Poor',
22 3: 'Average',
23 4: 'Good',
24 5: 'Excellent'
25}
26
27export function StarRating({
28 value,
29 onChange,
30 readonly = false,
31 size = 'md',
32 showLabel = false
33}: Props) {
34 const [hovered, setHovered] = useState(0)
35 const activeValue = hovered || value
36
37 return (
38 <div className="flex items-center gap-2">
39 <div
40 className="flex gap-0.5"
41 role={readonly ? 'img' : 'radiogroup'}
42 aria-label={`Rating: ${value} out of 5 stars`}
43 >
44 {[1, 2, 3, 4, 5].map(star => (
45 <button
46 key={star}
47 type="button"
48 disabled={readonly}
49 onClick={() => !readonly && onChange(star)}
50 onMouseEnter={() => !readonly && setHovered(star)}
51 onMouseLeave={() => !readonly && setHovered(0)}
52 className={cn(
53 'focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring rounded-sm',
54 !readonly && 'cursor-pointer hover:scale-110 transition-transform duration-100',
55 readonly && 'cursor-default'
56 )}
57 aria-label={`${star} star${star !== 1 ? 's' : ''}`}
58 aria-pressed={!readonly ? value === star : undefined}
59 >
60 <Star
61 className={cn(
62 sizeClasses[size],
63 'transition-colors duration-100',
64 activeValue >= star
65 ? 'fill-yellow-400 text-yellow-400'
66 : 'fill-none text-muted-foreground'
67 )}
68 />
69 </button>
70 ))}
71 </div>
72 {showLabel && hovered > 0 && (
73 <span className="text-sm text-muted-foreground">{labels[hovered]}</span>
74 )}
75 {showLabel && hovered === 0 && value > 0 && (
76 <span className="text-sm text-muted-foreground">{labels[value]}</span>
77 )}
78 </div>
79 )
80}

Customization ideas

Rating distribution chart

Add a Progress bar breakdown per star level (5★: 45%, 4★: 30%, etc.) at the top of the reviews list by querying COUNT(*) GROUP BY rating from approved reviews.

Verified purchase badge

Add an is_verified boolean on reviews and a verification check in the Edge Function that confirms the reviewer has a corresponding order or purchase in another table before allowing submission.

Review images

Allow up to 3 image uploads per review stored in Supabase Storage. Display them as a horizontal image strip below the review body with a lightbox on click.

Owner response

Add an owner_response text and owner_responded_at timestamptz column on reviews. Show the owner's reply indented below the review text with an 'Owner Response' label.

SEO structured data

On the item detail page, generate a JSON-LD AggregateRating schema block using the average_rating and review_count values so Google displays star ratings in search results.

Review incentives

After a review is approved, trigger an Edge Function that inserts a reward point or discount code row for the reviewer — connecting the reviews system to a loyalty table.

Common pitfalls

Pitfall: Not filtering reviews by status = 'approved' on the public page

How to avoid: The RLS policy should be: CREATE POLICY "public_read_approved_reviews" ON public.reviews FOR SELECT TO anon USING (status = 'approved'). Double-check this in Supabase → Table Editor → Policies.

Pitfall: Using .upsert() instead of .insert() for reviews

How to avoid: Always use .insert() and handle the 23505 error code explicitly to show the 'already reviewed' message.

Pitfall: Calculating average_rating in the React component

How to avoid: Use the average_rating column on reviewable_items which is kept current by the database trigger on every review status change.

Pitfall: Not resetting the star rating field after form submission

How to avoid: Control the star value via React Hook Form's Controller and include rating in the defaultValues object. Calling form.reset() with defaultValues: { rating: 0 } resets the stars too.

Pitfall: Forgetting to update helpful_count when a vote is cast

How to avoid: Use a database trigger on review_votes INSERT/DELETE that increments or decrements reviews.helpful_count, similar to the average rating trigger.

Best practices

  • Put all rating recalculation logic in a database trigger so it fires regardless of whether reviews are updated via the app, the Supabase dashboard, or a script.
  • Show the review count alongside the star average — '4.2 (127 reviews)' is far more trustworthy than '4.2 (3 reviews)'.
  • Sort approved reviews by helpful_count descending by default so the most useful reviews appear first, with a secondary sort by created_at for new reviews.
  • Require authentication for all review submissions — anonymous reviews increase spam and reduce trust in the rating system.
  • Surface the pending review count as a badge on the admin navigation link so moderators know when new reviews are waiting.
  • Implement a profanity filter in a Supabase Edge Function called before insert rather than relying on post-moderation, to reduce admin workload.
  • Never auto-approve reviews — even if you trust your users, manual approval catches edge cases like formatting abuse and duplicate content.
  • Add a Report button on each review so users can flag inappropriate content that passed moderation, linking to a separate reports table.

AI prompts to try

Copy these prompts to build this project faster.

ChatGPT Prompt

I'm building a reviews system with Supabase PostgreSQL. I need a database trigger function in plpgsql that fires AFTER INSERT OR UPDATE OR DELETE on a reviews table. It should recalculate the average_rating (from approved reviews only where status = 'approved') and review_count on the reviewable_items table for the affected item_id. Handle the DELETE case where NEW is null. Write the complete trigger function and CREATE TRIGGER statement.

Lovable Prompt

Add a rating distribution breakdown to my reviews item page. Above the list of reviews, show a vertical bar chart with one row per star level (5 down to 1). Each row has the star label, a Progress bar showing percentage of total approved reviews, and the exact count. Fetch the distribution with a Supabase query using SELECT rating, COUNT(*) FROM reviews WHERE item_id = $1 AND status = 'approved' GROUP BY rating.

Build Prompt

In my Lovable project, create a Supabase Edge Function at supabase/functions/check-review/index.ts that receives a review body text, calls a simple profanity word list check, and returns { allowed: boolean, reason?: string }. Call this function from the ReviewForm component before inserting the review into Supabase. Store any required API keys in Lovable's Cloud tab Secrets.

Frequently asked questions

How does the average rating update automatically when I approve a review?

A PostgreSQL trigger named reviews_rating_trigger fires AFTER INSERT OR UPDATE OR DELETE on the reviews table. It runs a function that recalculates AVG(rating) from all approved reviews and writes the result back to the reviewable_items.average_rating column. Approving a review changes its status column, which fires the trigger.

Can a user edit their review after submitting it?

Not by default. Add an UPDATE RLS policy: CREATE POLICY "auth_update_own_review" ON public.reviews FOR UPDATE TO authenticated USING (user_id = auth.uid()), then add an Edit button to the existing review Card that opens the form pre-populated with their values.

How do I prevent the same user from voting on the same review twice?

The review_votes table has a UNIQUE constraint on (review_id, user_id). Attempting a second vote returns error code 23505. Handle it in your vote handler and show a message like 'You already voted on this review'.

Why does the star rating show 0 after form reset?

Make sure the StarRating component is controlled via React Hook Form's Controller and that form.reset() includes rating: 0 in the default values object. If the star value is only stored in local component state, reset() cannot reach it.

How do I show reviews without auth for anonymous visitors?

The RLS policy 'public_read_approved_reviews' allows anonymous reads where status = 'approved'. The Supabase client initialized with the anon key fetches this data without any authentication. Do not use the service role key on the client side.

Can I embed the reviews widget on an external website?

Yes — publish the item page in Lovable and embed it as an iframe. Alternatively, export the code from Dev Mode, self-host the React component, and configure it to connect to your Supabase project using the public anon key.

Can RapidDev help me integrate this reviews system into an existing Lovable app?

Yes. RapidDev can audit your existing Lovable project, add the reviews schema with triggers to your Supabase instance, and integrate the UI components into your existing pages. Visit rapiddev.io to get started.

How do I display structured data for Google star snippets?

On the server-rendered item page, inject a JSON-LD script tag with type 'AggregateRating' using the average_rating and review_count from your Supabase query. In a Lovable/Vite app, add this dynamically using react-helmet or by updating the document head in a useEffect.

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