# 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, 100.0% 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).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": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,totaka/avis-verifies-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/Phq6TPeKtVeJnggZ6/builds/IblU53Alf0v9hhU0L/openapi.json