Pricing
Pay per event
Extract customer reviews from OpenTable restaurant listings for sentiment analysis, CX insights, or competitive tracking.
5.0 (1)
Pricing
Pay per event
3
18
6
Issues response
1.7 days
Last modified
7 days ago
You can access the OpenTable Review 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.
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 "runMode": "DEVELOPMENT",10 "startUrls": [{ "url": "https://www.opentable.com/r/sample-restaurant" }],11 "respectRobotsTxtFile": True,12 "linkSelector": "a[aria-label=\"Go to the next page\"]",13 "globs": [],14 "pseudoUrls": [],15 "excludes": [],16 "proxyConfiguration": { "useApifyProxy": True },17 "initialCookies": [],18 "waitUntil": ["networkidle2"],19 "preNavigationHooks": "[]",20 "postNavigationHooks": "[]",21 "breakpointLocation": "NONE",22 "customData": {},23}24
25# Run the Actor and wait for it to finish26run = client.actor("vertivine/opentable-review-scraper").call(run_input=run_input)27
28# Fetch and print Actor results from the run's dataset (if there are any)29print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])30for item in client.dataset(run["defaultDatasetId"]).iterate_items():31 print(item)32
33# 📚 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 OpenTable Review Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: