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๐บ Tripadvisor Reviews Scraper | Pay Per Result $0.5/1K reviews
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Pay $0.50 for 1,000 reviews
View all Actors![๐บ Tripadvisor Reviews Scraper | Pay Per Result $0.5/1K reviews](https://images.apifyusercontent.com/CgScf8blYC9dFGSTrCS_fCaOYIXcySkVjkCNjLIEW7E/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vTFBzaFFDSmhMcVZOSWRNcmYvdDV6MHdjOHRNTDVRY0JBS0wtVHJpcGFkdmlzb3JfaWNvbl9sb2dvLnBuZw.webp)
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๐บ Tripadvisor Reviews Scraper | Pay Per Result $0.5/1K reviews
thewolves/tripadvisor-reviews-scraper
Try for free
Pay $0.50 for 1,000 reviews
The Wolves proudly presents TripAdvisor Review Scraper, the perfect solution for TripAdvisor review extraction. Incredibly, it retrieves 100-200 reviews per second at an amazing cost-effective rate of $0.50 per 1000 reviews. Get any data from TripAdvisor by targeting. Cheapest!!
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8 "startUrls": [
9 "https://www.tripadvisor.com/Restaurant_Review-g60763-d25324283-Reviews-Allora_Fifth_Ave-New_York_City_New_York.html",
10 "https://www.tripadvisor.com/Hotel_Review-g60763-d15288822-Reviews-SpringHill_Suites_New_York_Manhattan_Times_Square_South-New_York_City_New_York.html?spAttributionToken=MjMyMTAzMzg",
11 ],
12 "languages": ["all"],
13 "ratings": ["all"],
14 "maxItems": 1000,
15 "customMapFunction": "(object) => { return {...object} }",
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("thewolves/tripadvisor-reviews-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("๐พ 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# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 15 monthly users
- 2 stars
- 97.3% runs succeeded
- 1.9 days response time
- Created in Apr 2024
- Modified about 22 hours ago
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