# Avis Verifies Certified Reviews Scraper (`totaka/avis-verifies-scraper`) Actor
Scrape certified customer reviews from Avis Verifies — France's #1 certified review platform (26M+ verified reviews). The only Avis Verifies scraper on Apify.
- **URL**: https://apify.com/totaka/avis-verifies-scraper.md
- **Developed by:** [Thomas Gharbi](https://apify.com/totaka) (community)
- **Categories:** E-commerce, Marketing
- **Stats:** 2 total users, 1 monthly users, 58.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $4.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Avis Vérifiés Certified Reviews Scraper — France's #1 Review Platform
Scrape **certified customer reviews from Avis Vérifiés** (SKEEPERS group) — France's leading verified review platform with 26 million+ certified reviews across 6,000+ brands. Extract star ratings, review text, reviewer name, date, verified status, and merchant responses. Exports to JSON, CSV, or Excel.
**This is the only Avis Vérifiés scraper on Apify.**
---
### Why Avis Vérifiés?
Avis Vérifiés is the dominant certified review platform in France. Unlike Google or Trustpilot reviews, every Avis Vérifiés review is verified against a real purchase — making the data higher quality for market research and sentiment analysis.
Top French e-commerce brands (Amazon.fr, Cdiscount, Fnac, La Redoute, Darty, Boulanger) display their Avis Vérifiés score prominently. For any competitive analysis in the French market, this data is essential.
---
### Input parameters
| Parameter | Type | Description |
|-----------|------|-------------|
| `domains` | array | Merchant domains to scrape (e.g. `["amazon.fr", "cdiscount.com"]`) |
| `maxReviewsPerMerchant` | integer | Max reviews per merchant (default: 100) |
| `proxyConfiguration` | object | Proxy settings |
#### Input example
```json
{
"domains": ["amazon.fr", "cdiscount.com", "fnac.com"],
"maxReviewsPerMerchant": 500
}
````
***
### Output fields
Each review is one dataset item:
| Field | Type | Description |
|-------|------|-------------|
| `domain` | string | Merchant domain (e.g. `amazon.fr`) |
| `merchantName` | string | Brand display name |
| `merchantWebsite` | string | Brand website URL |
| `overallRating` | string | Merchant's aggregate rating (e.g. "4.7") |
| `totalReviews` | integer | Total certified reviews for this merchant |
| `rating` | integer | Review star rating (1–5) |
| `author` | string | Reviewer name (usually first name + initial) |
| `date` | string | Review date (localized French format) |
| `text` | string | Review text content |
| `verified` | boolean | Purchase verified by Avis Vérifiés |
| `merchantReply` | string|null | Merchant's public response (if any) |
| `scrapedAt` | string | Scrape timestamp (ISO 8601) |
#### Output example
```json
{
"domain": "amazon.fr",
"merchantName": "Amazon.fr",
"merchantWebsite": "https://www.amazon.fr/",
"overallRating": "4.6",
"totalReviews": 524312,
"rating": 5,
"author": "Sophie M.",
"date": "12 juin 2026",
"text": "Livraison ultra rapide, produit conforme à la description, emballage soigné. Je recommande sans hésitation.",
"verified": true,
"merchantReply": null,
"scrapedAt": "2026-06-12T10:15:00.000Z"
}
```
***
### Use cases
**Reputation monitoring** — Track your brand's certified review score over time. Compare monthly averages to detect satisfaction drops before they escalate.
**Competitive intelligence (France)** — Compare your Avis Vérifiés score against direct competitors in the French market. Identify service gaps from what customers praise in competitor reviews.
**Sentiment analysis** — Analyze thousands of verified reviews to extract recurring themes, complaints, and praise points. Feed into LLMs or NLP classifiers for structured insights.
**Market entry research** — Before entering the French e-commerce market, understand customer satisfaction levels and common friction points for existing players in your category.
**Agency / consulting reporting** — Build automated monthly reputation reports for French clients using fresh, verified review data.
**Review response audit** — Check if and how quickly a merchant responds to reviews. High response rate correlates with customer trust scores.
***
### How to find a merchant's domain
1. Go to [fr.avis-verifies.com/annuaire/](https://fr.avis-verifies.com/annuaire/)
2. Browse by category or search for the brand name
3. Click the brand to open their review page
4. The domain is visible in the URL: `https://www.avis-verifies.com/avis-clients/`**`amazon.fr`**
#### Popular domains to get you started
```
amazon.fr · cdiscount.com · fnac.com · darty.com · boulanger.com
la-redoute.fr · leroy-merlin.fr · decathlon.fr · sncf.com · ldlc.com
```
***
### Limitations
- **French market focus** — Avis Vérifiés covers primarily French merchants and French-speaking markets. For international certified reviews, use [Trustpilot](https://apify.com/store?search=trustpilot)
- **20 reviews per page** — high review counts require `maxReviewsPerMerchant` set accordingly and longer run times
- **Recent reviews only** — Avis Vérifiés shows the most recent reviews by default; very old reviews may not be accessible
- **Domain required** — you need the merchant's exact domain as registered on Avis Vérifiés (use the annuaire to look it up)
***
### Support
Open a ticket in the **Issues tab** on the actor page. We monitor all issues and respond quickly. If a merchant domain doesn't work, we'll investigate and push a fix.
# Actor input Schema
## `merchantDomains` (type: `array`):
Enter one merchant domain per line — exactly as it appears on Avis Vérifiés.
Examples: amazon.fr, cdiscount.com, fnac.com, ldlc.com
💡 Find the domain by searching on Avis Vérifiés Annuaire.
## `maxReviewsPerMerchant` (type: `integer`):
Maximum number of reviews to scrape per merchant.
Default: 100 | Each page contains 20 reviews.
⚠️ Large merchants (e.g. Amazon, Cdiscount) have 100,000+ reviews — set a reasonable limit.
## `proxyConfiguration` (type: `object`):
Residential proxies are recommended for reliable access to Avis Vérifiés.
## Actor input object example
```json
{
"merchantDomains": [
"dafy-moto.com"
],
"maxReviewsPerMerchant": 100,
"proxyConfiguration": {
"useApifyProxy": true
}
}
```
# Actor output Schema
## `results` (type: `string`):
Dataset containing all scraped verified reviews. Each item includes reviewId, companyName, companyUrl, rating (1-5), title, body, date, reviewerName, verifiedPurchase status, helpful votes, and company metadata (globalRating, totalReviews, category).
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"merchantDomains": [
"dafy-moto.com"
],
"maxReviewsPerMerchant": 100
};
// Run the Actor and wait for it to finish
const run = await client.actor("totaka/avis-verifies-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"merchantDomains": ["dafy-moto.com"],
"maxReviewsPerMerchant": 100,
}
# Run the Actor and wait for it to finish
run = client.actor("totaka/avis-verifies-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"merchantDomains": [
"dafy-moto.com"
],
"maxReviewsPerMerchant": 100
}' |
apify call totaka/avis-verifies-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=totaka/avis-verifies-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Avis Verifies Certified Reviews Scraper",
"description": "Scrape certified customer reviews from Avis Verifies — France's #1 certified review platform (26M+ verified reviews). The only Avis Verifies scraper on Apify.",
"version": "1.0",
"x-build-id": "eyEPqRHxXoFx9Ak1q"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/totaka~avis-verifies-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-totaka-avis-verifies-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/totaka~avis-verifies-scraper/runs": {
"post": {
"operationId": "runs-sync-totaka-avis-verifies-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/totaka~avis-verifies-scraper/run-sync": {
"post": {
"operationId": "run-sync-totaka-avis-verifies-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"merchantDomains"
],
"properties": {
"merchantDomains": {
"title": "🏪 Merchant domain names",
"minItems": 1,
"type": "array",
"description": "Enter one merchant domain per line — exactly as it appears on Avis Vérifiés.
Examples: amazon.fr, cdiscount.com, fnac.com, ldlc.com
💡 Find the domain by searching on Avis Vérifiés Annuaire.",
"items": {
"type": "string"
}
},
"maxReviewsPerMerchant": {
"title": "📊 Max reviews per merchant",
"minimum": 1,
"maximum": 10000,
"type": "integer",
"description": "Maximum number of reviews to scrape per merchant.
Default: 100 | Each page contains 20 reviews.
⚠️ Large merchants (e.g. Amazon, Cdiscount) have 100,000+ reviews — set a reasonable limit.",
"default": 100
},
"proxyConfiguration": {
"title": "🌐 Proxy configuration",
"type": "object",
"description": "Residential proxies are recommended for reliable access to Avis Vérifiés.",
"default": {
"useApifyProxy": true
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```