Pricing

from $20.00 / 1,000 maps review trends reports

Try for free

Go to Apify Store

Google Maps Review Sentiment & Priority Analysis

Try for free

Compare ratings and recurring service issues over time in authorized review data exports. For Multi-location service and reputation analysts. Check the live Pricing tab and input limits.

Pricing

from $20.00 / 1,000 maps review trends reports

Rating

0.0

(0)

Developer

Practical AI Lab

Actor stats

Bookmarked

Total users

Monthly active users

3 hours ago

Last modified

Categories

SEO tools

Lead generation

You can access the Google Maps Review Sentiment & Priority Analysis 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.

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 = { "records": [
9        {
10            "placeId": "sample-place-001",
11            "title": "Example Cafe",
12            "stars": 5,
13            "publishedAtDate": "2026-01-11T11:00:00Z",
14            "text": "Friendly staff and delicious food.",
15        },
16        {
17            "placeId": "sample-place-001",
18            "title": "Example Cafe",
19            "stars": 4,
20            "publishedAtDate": "2026-01-17T11:00:00Z",
21            "text": "Great service and clean tables.",
22        },
23        {
24            "placeId": "sample-place-001",
25            "title": "Example Cafe",
26            "stars": 4,
27            "publishedAtDate": "2026-02-03T11:00:00Z",
28            "text": "Good atmosphere and reasonable price.",
29        },
30        {
31            "placeId": "sample-place-001",
32            "title": "Example Cafe",
33            "stars": 3,
34            "publishedAtDate": "2026-02-09T11:00:00Z",
35            "text": "The wait time is slow.",
36        },
37        {
38            "placeId": "sample-place-001",
39            "title": "Example Cafe",
40            "stars": 2,
41            "publishedAtDate": "2026-03-10T11:00:00Z",
42            "text": "Long wait and noisy seating.",
43        },
44        {
45            "placeId": "sample-place-001",
46            "title": "Example Cafe",
47            "stars": 1,
48            "publishedAtDate": "2026-03-19T11:00:00Z",
49            "text": "Service was rude and the price is expensive.",
50        },
51        {
52            "placeId": "sample-place-002",
53            "title": "Example Bakery",
54            "stars": 4,
55            "publishedAtDate": "2026-01-13T11:00:00Z",
56            "text": "Fresh bread and friendly staff.",
57        },
58        {
59            "placeId": "sample-place-002",
60            "title": "Example Bakery",
61            "stars": 5,
62            "publishedAtDate": "2026-01-23T11:00:00Z",
63            "text": "Excellent value and delicious pastries.",
64        },
65        {
66            "placeId": "sample-place-002",
67            "title": "Example Bakery",
68            "stars": 4,
69            "publishedAtDate": "2026-02-08T11:00:00Z",
70            "text": "Clean shop, parking is easy.",
71        },
72        {
73            "placeId": "sample-place-002",
74            "title": "Example Bakery",
75            "stars": 5,
76            "publishedAtDate": "2026-02-14T11:00:00Z",
77            "text": "Great fresh quality.",
78        },
79        {
80            "placeId": "sample-place-002",
81            "title": "Example Bakery",
82            "stars": 5,
83            "publishedAtDate": "2026-03-05T11:00:00Z",
84            "text": "Fantastic service and fair price.",
85        },
86        {
87            "placeId": "sample-place-002",
88            "title": "Example Bakery",
89            "stars": 4,
90            "publishedAtDate": "2026-03-20T11:00:00Z",
91            "text": "Helpful staff and short wait.",
92        },
93        {
94            "placeId": "sample-place-001",
95            "title": "Example Cafe",
96            "stars": 2,
97            "publishedAtDate": "2026-04-03T11:00:00Z",
98            "text": "Long wait and slow service",
99        },
100        {
101            "placeId": "sample-place-001",
102            "title": "Example Cafe",
103            "stars": 1,
104            "publishedAtDate": "2026-04-09T11:00:00Z",
105            "text": "Wait was long and staff were rude",
106        },
107        {
108            "placeId": "sample-place-001",
109            "title": "Example Cafe",
110            "stars": 2,
111            "publishedAtDate": "2026-04-15T11:00:00Z",
112            "text": "Overpriced, delayed order",
113        },
114        {
115            "placeId": "sample-place-001",
116            "title": "Example Cafe",
117            "stars": 1,
118            "publishedAtDate": "2026-05-02T11:00:00Z",
119            "text": "Dirty tables and poor service",
120        },
121        {
122            "placeId": "sample-place-001",
123            "title": "Example Cafe",
124            "stars": 2,
125            "publishedAtDate": "2026-05-11T11:00:00Z",
126            "text": "Slow service and long wait",
127        },
128        {
129            "placeId": "sample-place-001",
130            "title": "Example Cafe",
131            "stars": 1,
132            "publishedAtDate": "2026-05-21T11:00:00Z",
133            "text": "Staff were rude and the price was too expensive",
134        },
135        {
136            "placeId": "sample-place-002",
137            "title": "Example Bakery",
138            "stars": 5,
139            "publishedAtDate": "2026-04-01T11:00:00Z",
140            "text": "Friendly service and fresh bread",
141            "responseFromOwnerText": "Thank you for the feedback.",
142        },
143        {
144            "placeId": "sample-place-002",
145            "title": "Example Bakery",
146            "stars": 5,
147            "publishedAtDate": "2026-04-07T11:00:00Z",
148            "text": "Excellent pastries and good value",
149            "responseFromOwnerText": "Thank you for the feedback.",
150        },
151        {
152            "placeId": "sample-place-002",
153            "title": "Example Bakery",
154            "stars": 5,
155            "publishedAtDate": "2026-04-12T11:00:00Z",
156            "text": "Helpful staff and short wait",
157            "responseFromOwnerText": "Thank you for the feedback.",
158        },
159        {
160            "placeId": "sample-place-002",
161            "title": "Example Bakery",
162            "stars": 4,
163            "publishedAtDate": "2026-05-03T11:00:00Z",
164            "text": "Lovely quality and friendly service",
165            "responseFromOwnerText": "Thank you for the feedback.",
166        },
167        {
168            "placeId": "sample-place-002",
169            "title": "Example Bakery",
170            "stars": 5,
171            "publishedAtDate": "2026-05-13T11:00:00Z",
172            "text": "Good parking and excellent bread",
173            "responseFromOwnerText": "Thank you for the feedback.",
174        },
175        {
176            "placeId": "sample-place-002",
177            "title": "Example Bakery",
178            "stars": 5,
179            "publishedAtDate": "2026-05-18T11:00:00Z",
180            "text": "Nice atmosphere and fresh pastries",
181            "responseFromOwnerText": "Thank you for the feedback.",
182        },
183    ] }
184
185# Run the Actor and wait for it to finish
186run = client.actor("practical_ai_lab_jp/pal-maps-reviews-sentiment-trends").call(run_input=run_input)
187
188# Fetch and print Actor results from the run's dataset (if there are any)
189print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
190for item in client.dataset(run.default_dataset_id).iterate_items():
191    print(item)
192
193# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Google Maps Review Sentiment Analysis & Trends API in Python

The Apify API client for Python is the official library that allows you to use Google Maps Review Sentiment & Priority Analysis API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Google Maps Review Sentiment & Priority Analysis API in JavaScript

Google Maps Review Sentiment & Priority Analysis API through CLI

Google Maps Review Sentiment & Priority Analysis OpenAPI definition

Google Maps Review Sentiment & Priority Analysis API

Facebook Posts Scraper

apify/facebook-posts-scraper

Extract posts, videos, and engagement metrics from Facebook pages. Get text captions, reactions, video transcripts, images, external links, collaborators, and more from Facebook pages and profiles. Export ad data, schedule runs via API, and integrate with other tools or AI workflows.

Apify

132K

4.7

(236)

Instagram Scraper

apify/instagram-scraper

Extract Instagram posts, reels, profiles, places, hashtags, carousels, and comments. Get data from Instagram using one or more Instagram URLs or search queries: content, context, metrics, metadata. Export scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.

Apify

449K

4.7

(603)

Facebook Comments Scraper

apify/facebook-comments-scraper

Extract data from hundreds of Facebook comments from one or multiple Facebook posts. Get comment text, timestamp, likes count and basic commenter info. Download the data in JSON, CSV, Excel and use it in apps, spreadsheets, and reports.

Apify

53K

4.7

(88)

Twitter (X.com) Scraper Unlimited: No Limits

apidojo/twitter-scraper-lite

Introducing Twitter Scraper Unlimited, the most comprehensive Twitter data extraction solution available. Our enterprise-grade scraper offers unmatched capabilities with a transparent event-based pricing model, making it perfect for both small-scale and large-scale data extraction needs.

API Dojo

50K

4.8

(100)

Google Maps Scraper

compass/crawler-google-places

Extract data from thousands of Google Maps locations and businesses, including reviews, reviewer details, images, contact info, including full name, email, and job title, opening hours, prices & more. Export data, run via API, schedule and monitor runs, or integrate with other tools.

Compass

669K

4.7

(1,818)

Reddit Scraper | Enterprise Grade

fatihtahta/reddit-scraper-search-fast

Extract Reddit posts and full comment threads from searches, subreddits, user pages, and direct post URLs. Built for enterprise-grade speed, richest-in-class data coverage, advanced filtering, and clean JSON for market intelligence, sentiment analysis and analytics.

Fatih Tahta

71K

4.1

(25)

Instagram Profile Scraper

apify/instagram-profile-scraper

Scrape all Instagram profile info. Just add Instagram usernames, IDs or URLs and extract name, join date, number of followers, location, bio, website, related profiles, video&post count, latest posts. Export scraped data, schedule scraper via API, and integrate with other tools or AI workflows.

Apify

266K

4.7

(175)

TikTok Scraper

clockworks/tiktok-scraper

Extract data from TikTok videos, hashtags, and users. Use URLs or search queries to scrape TikTok profiles, hashtags, posts, URLs, shares, followers, hearts, names, video, and music-related data. Export scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.

Clockworks

365K

4.7

(370)

Tweet Scraper V2 - X Scraper / Twitter Scraper / X.com Scraper

apidojo/tweet-scraper

Lightning-fast search, URL, list, and profile scraping, with customizable filters. At $0.40 per 1000 tweets, and 30-80 tweets per second, it is ideal for researchers, entrepreneurs, and businesses! Get comprehensive insights from Twitter (X) now!

API Dojo

121K

3.9

(196)

Facebook Search Scraper — People, Pages, Posts & More

memo23/facebook-search-scraper

The most complete Facebook search: people, pages, places, events, posts, videos and top — in one actor, no login and no cookies. Get names, URLs, profile pictures, verified badges, event dates, and post text with authors. Auto-paginates across results. Export to JSON, CSV or Excel.