Review Analyzer API — Sentiment, Topics & Complaints
Pricing
from $1.00 / 1,000 review analyzeds
Analyze customer reviews in bulk: sentiment, topics praised or criticized, complaint severity and unanswered complaints, with a summary per business. Works on any Google Maps, Trustpilot or Tripadvisor reviews dataset. Pay per review.
You can access the Review Analyzer API — Sentiment, Topics & Complaints 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 API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "reviews": [10 {11 "text": "Lovely dinner, the duck was perfect and the staff were warm. We will come back.",12 "rating": 5,13 "placeName": "Sample Bistro",14 "category": "Restaurant",15 },16 {17 "text": "Food was good but we waited 50 minutes for our mains and nobody apologized.",18 "rating": 3,19 "placeName": "Sample Bistro",20 "category": "Restaurant",21 },22 {23 "text": "Overpriced for tiny portions. Our table next to the door was freezing.",24 "rating": 2,25 "placeName": "Sample Bistro",26 "category": "Restaurant",27 },28 {29 "text": "Found a hair in my salad and the waiter just shrugged. Never again.",30 "rating": 1,31 "placeName": "Sample Bistro",32 "category": "Restaurant",33 },34 {35 "text": "Great wine list and a cozy atmosphere, a bit noisy on Friday night.",36 "rating": 4,37 "placeName": "Sample Bistro",38 "category": "Restaurant",39 },40 ],41 "businessType": "auto",42 "maxReviews": 500,43 "maxReviewsPerPlace": 100,44}45
46# Run the Actor and wait for it to finish47run = client.actor("sherwood/review-analyzer").call(run_input=run_input)48
49# Fetch and print Actor results from the run's dataset (if there are any)50print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")51for item in client.dataset(run.default_dataset_id).iterate_items():52 print(item)53
54# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Review Analyzer API — Sentiment, Topics & Complaints API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: