# Avis Verifier scraper (`saswave/avis-verifier`) Actor $0.9 / 1000 results. Allows you to automate data extraction from www.avis-verifies.com Get companies personnal infos, reviews scores and reviews list details - **URL**: https://apify.com/saswave/avis-verifier.md - **Developed by:** [SASWAVE](https://apify.com/saswave) (community) - **Categories:** Automation - **Stats:** 28 total users, 1 monthly users, 90.4% runs succeeded, 3 bookmarks - **User rating**: No ratings yet ## Pricing from $0.90 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Verifier Scraper – Company Reviews & Ratings Extraction Avis Verifier Scraper is a powerful web scraping tool designed to extract company information and online reviews from a list of domain names. It allows you to monitor company reputation, collect review analytics, and generate actionable insights for business intelligence or market research. ## Key Features Retrieve company overview information: name, address, postal code, city, and category Collect review statistics: average score, number of 5-star to 1-star reviews, total and yearly review counts Extract detailed reviews: review content, author, rating, publication date, and expiration date Supports batch processing: input multiple domains at once Optional proxy support for high-volume scraping Outputs structured JSON, ready for analytics, dashboards, or CRM integration ### Inputs - domain : list OR string (csv format) ex: \['youtube.com', 'google.com', 'apple.com'] OR "youtube.com,google.com,apple.com" One of the 2 types is needed. - proxies : object not mandatory but recommended if high volume ### Outputs Overview object ```json { "website": "draegerparis.com", "score": "4", "5_stars": "2336", "4_stars": "350", "3_stars": "120", "2_stars": "42", "1_stars": "43", "total_reviews": 2891, "lifetime_reviews": "3132", "12_months_reviews": "775", "lifetime_starting_date": "27/10/2018", "company": "Draeger international", "streetAddress": "109 rue Montmartre", "postalCode": "75002", "city": "Paris", "category": "Fleurs & cadeaux" } ``` Reviews object ```json { "review_website": "draegerparis.com", "review_rating": "5", "review_item_reviewed": "Local business", "review_about": "Fleurs & cadeaux", "review_body": "Confotme", "review_exp_date": "2024-09-22", "review_publish_date": "2024-09-30", "review_author": "JEAN PAUL B." } ``` ### Use Cases Company Reputation Monitoring – track overall review ratings and feedback trends Competitive Analysis – compare reviews and ratings across multiple companies in your industry Market Research – collect insights about customer satisfaction, service quality, and product feedback Lead Generation – identify businesses with positive reviews for partnerships or B2B outreach ### 🛟 SUPPORT Share your runs with the developer team and create issues on error to help us improve actor quality. You might discover edge case we didn't test yet We stay available anytime # Actor input Schema ## `get_reviews` (type: `boolean`): Get each reviews content (it will slow the scraper) ## `reviews_page_limit` (type: `integer`): 0 = no limit ## `domains` (type: `array`): Make a list of domains you want to search for avis-verifier score ## Actor input object example ```json { "get_reviews": false, "reviews_page_limit": 1, "domains": [ "zen-up.com", "hyperassur.com", "devismutuelle.com" ] } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "domains": [ "zen-up.com", "hyperassur.com", "devismutuelle.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("saswave/avis-verifier").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 = { "domains": [ "zen-up.com", "hyperassur.com", "devismutuelle.com", ] } # Run the Actor and wait for it to finish run = client.actor("saswave/avis-verifier").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 '{ "domains": [ "zen-up.com", "hyperassur.com", "devismutuelle.com" ] }' | apify call saswave/avis-verifier --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,saswave/avis-verifier" } } } ``` 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/WzngLwRcRV9ayTW8Q/builds/2eMJEo0Z4m91rx8Pv/openapi.json