OpenTable Review Scraper

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    "runMode": "DEVELOPMENT",
10    "startUrls": [{ "url": "https://crawlee.dev/js" }],
11    "respectRobotsTxtFile": True,
12    "linkSelector": "a[href]",
13    "globs": [{ "glob": "https://crawlee.dev/js/*/*" }],
14    "pseudoUrls": [],
15    "excludes": [{ "glob": "/**/*.{png,jpg,jpeg,pdf}" }],
16    "proxyConfiguration": { "useApifyProxy": True },
17    "initialCookies": [],
18    "waitUntil": ["networkidle2"],
19    "preNavigationHooks": """// We need to return array of (possibly async) functions here.
20// The functions accept two arguments: the \"crawlingContext\" object
21// and \"gotoOptions\".
22[
23    async (crawlingContext, gotoOptions) => {
24        // ...
25    },
26]
27""",
28    "postNavigationHooks": """// We need to return array of (possibly async) functions here.
29// The functions accept a single argument: the \"crawlingContext\" object.
30[
31    async (crawlingContext) => {
32        // ...
33    },
34]""",
35    "breakpointLocation": "NONE",
36    "customData": {},
37}
38
39# Run the Actor and wait for it to finish
40run = client.actor("vertivine/opentable-review-scraper").call(run_input=run_input)
41
42# Fetch and print Actor results from the run's dataset (if there are any)
43print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
44for item in client.dataset(run["defaultDatasetId"]).iterate_items():
45    print(item)
46
47# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start