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Thefork Fast Scraper Per Result
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Pay $5.00 for 1,000 results
View all Actors![Thefork Fast Scraper Per Result](https://images.apifyusercontent.com/MrDdRpk5e7t78CPAwklvmrIte9zDSnqZQs54CbuWahA/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vZVM2REN5NEVJS3ZMR3lLdHcvbkNYNklxUEZ2NUFSYnk3UUEtM000T1k3SVpER2luRDVVNTAtdGhlX2ZvcmtfNzhmOWNkYTNkNS5wbmc.webp)
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Thefork Fast Scraper Per Result
mantisus/thefork-fast-scraper-per-result
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Pay $5.00 for 1,000 results
Scrape TheFork.com quickly and easily! Skip bloated browser tools. This scraper extracts restaurant data in a flash, no heavy lifting is needed. Scrape and monitor data with ease, all without Puppeteer or Playwright. ⚡️
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 "urls": ["https://www.thefork.com/restaurants/paris-c415144/italian-t436"],
9 "proxySettings": { "useApifyProxy": True },
10}
11
12# Run the Actor and wait for it to finish
13run = client.actor("mantisus/thefork-fast-scraper-per-result").call(run_input=run_input)
14
15# Fetch and print Actor results from the run's dataset (if there are any)
16print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
17for item in client.dataset(run["defaultDatasetId"]).iterate_items():
18 print(item)
19
20# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 1 monthly user
- 3 stars
- 89.7% runs succeeded
- 4.5 hours response time
- Created in Apr 2024
- Modified 5 months ago
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