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Trustradius Insights Scraper
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Trustradius Insights Scraper

Trustradius Insights Scraper

epctex/trustradius-scraper
Try for free

3 days trial then $20.00/month - No credit card required now

Dive into the Trustradius database with our specialized tool. Extract detailed product, vendor, and review data. Access authentic client feedback, in-depth vendor profiles, and portfolio insights. Navigate with custom search terms, ensuring precise and invaluable insights for your analytical needs.

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    "search": "food",
9    "startUrls": [
10        "https://www.trustradius.com/vendors/trustradius",
11        "https://www.trustradius.com/products/canva",
12        "https://www.trustradius.com/users/61ff850b1928ba0031703629",
13        "https://www.trustradius.com/users/5c24577c4452bb002b85451a",
14        "https://www.trustradius.com/search?t=product&q=food",
15        "https://www.trustradius.com/search?t=vendor&t=product&q=food",
16        "https://www.trustradius.com/products?q=food",
17        "https://www.trustradius.com/vendors?q=food",
18    ],
19    "maxItems": 20,
20    "endPage": 2,
21    "extendOutputFunction": "($) => { return {} }",
22    "customMapFunction": "(object) => { return {...object} }",
23    "proxy": { "useApifyProxy": True },
24}
25
26# Run the Actor and wait for it to finish
27run = client.actor("epctex/trustradius-scraper").call(run_input=run_input)
28
29# Fetch and print Actor results from the run's dataset (if there are any)
30print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
31for item in client.dataset(run["defaultDatasetId"]).iterate_items():
32    print(item)
33
34# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
  • 4 monthly users
  • 1 star
  • 100.0% runs succeeded
  • Created in May 2022
  • Modified about 23 hours ago