You can access the Avis Verifier scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "domains": [
10        "zen-up.com",
11        "hyperassur.com",
12        "devismutuelle.com",
13    ],
14    "str_domains": "zen-up.com,hyperassur.com,devismutuelle.com",
15    "proxyConfiguration": { "useApifyProxy": False },
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("saswave/avis-verifier").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Avis Verifier scraper API in Python

The Apify API client for Python is the official library that allows you to use Avis Verifier scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Avis Verifier scraper API in JavaScript

Avis Verifier scraper API through CLI

Avis Verifier scraper OpenAPI definition

Avis Verifier scraper API

avis-verifies.com scraper

meetmagnet-owner/avis-verifies-com-scraper

Permet de scraper les avis clients d'un site web

MeetMagnet

Avis Vérifiés Reviews

avistor_dev/avis-verifies-reviews

Avis Vérifiés Review Scraper extracts customer reviews from Avis Vérifiés for any brand. Input a review page URL and number of pages to scrape, and get structured data with reviewer names, ratings, dates, review texts, and brand responses. Ideal for reputation monitoring and analysis! 🚀

Avistor dev

Lazada Reviews Scraper (Rental)

ecomscrape/lazada-reviews-scraper-rental

Lazada scraper to extract reviews from Lazada products. Scrape detailed data like review details, rating scores, dates, image URLs, likes, and more. Create custom filters to target specific data and set limits on the number of reviews to retrieve in one go.

ecomscrape

Lazada Reviews Scraper (Pay Per Result)

ecomscrape/lazada-reviews-scraper

ecomscrape

1.0

Angi (Angie's List) Scraper

babak/angi-angie-s-list-scraper

Angi (Angie’s List) Scraper allows you to extract Angie's List companies' data. Using our search fields, you'll get general details, contact info, and reviews for market and advertising research, competitive and customer feedback analysis, product development, and business partnership.

V Hzrok

Google Email Verifier Actor

minion_hub/verify-emails-actor

This Apify Actor verifies Gmail and Google Workspace email addresses to check if they are valid and deliverable. It supports bulk processing, logs the results.

MinionHub

Aliexpress Reviews Scraper

caprolok/aliexpress-reviews-scraper

AliExpress Reviews Scraper extracts detailed reviews from product pages. Input product IDs and links to retrieve ratings, feedback, and more. Ideal for market analysis and consumer insights. Supports batch processing and customizable data extraction.