Use TrustRadius Product Ratings & Feature Score Extractor with Python

Extract TrustRadius product pages by direct URL, search term, or category: pricing, aggregate ratings, feature scorecards, award badges, and related products for B2B software comparison.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "categoryUrls": [],
  "companySizes": [],
  "countries": [],
  "departments": [],
  "includeProductDetails": false,
  "includeReviewDetails": false,
  "jobTypes": [],
  "lastUpdated": "any",
  "maxItems": 1,
  "maxReviewsPerProduct": 3,
  "minYearsExperience": 0,
  "mode": "product",
  "productUrls": [
    "https://www.trustradius.com/products/asana"
  ],
  "publishedAfter": "",
  "reviewSort": "newest",
  "reviewerRoles": [],
  "searchQueries": [],
  "starRatings": []
}

Download input.example.json and save your reviewed copy as input.json.

Field	Type	Required	Description
`mode`	string	required	What to collect: product profiles, individual reviews, product discovery cards or a side-by-side comparison.
`productUrls`	array	optional	TrustRadius product URLs, review URLs or bare slugs. Used by product and reviews modes; compare mode accepts a /compare-products/a-vs-b URL or two products.
`searchQueries`	array	optional	(mode=discover) Keywords to search in the TrustRadius software directory.
`categoryUrls`	array	optional	(mode=discover) TrustRadius category URLs or slugs, such as https://www.trustradius.com/categories/crm or crm.
`maxItems`	integer	optional	Hard cap on emitted products, reviews, discovery cards or comparisons.
`maxReviewsPerProduct`	integer	optional	(mode=reviews) Reviews to collect per product. Use 0 for the entire archive.
`reviewSort`	string	optional	(mode=reviews) Order in which reviews are collected.
`starRatings`	array	optional	(mode=reviews) Only reviews with these ratings (1-5), for example ["1","2"]. Leave empty for all ratings.
`companySizes`	array	optional	(mode=reviews) Reviewer company sizes: small, medium or large. Leave empty for all sizes.
`countries`	array	optional	(mode=reviews) Reviewer country codes in ISO3 form, for example USA, CAN or GBR.
`reviewerRoles`	array	optional	(mode=reviews) Roles reviewers played: user, manager, support, decisionMaker, consultant or implementer.
`jobTypes`	array	optional	(mode=reviews) Job types such as Engineer, Manager, Director or Analyst.
`departments`	array	optional	(mode=reviews) Departments such as Marketing, Engineering or Information Technology.
`minYearsExperience`	integer	optional	(mode=reviews) Minimum reviewer experience in years. Use 0 for no minimum.
`lastUpdated`	string	optional	(mode=reviews) Only include reviews updated within this window.
`publishedAfter`	string	optional	(mode=reviews) Keep reviews published on or after this date (YYYY-MM-DD). Leave empty for no cutoff.
`includeReviewDetails`	boolean	optional	(mode=reviews) Open each review to collect ROI, alternatives and the full Q&A. Adds one request per review.
`includeProductDetails`	boolean	optional	(mode=product) Also collect feature scorecards, pricing plans, product details, FAQs and alternatives.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/Bi0XIucr8FdHafeVw/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

TrustRadius software profiles, individual reviews, discovery cards and product comparisons.

Questions before you run

Which inputs are required?

The published required fields are mode

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Open on Apify Full Actor reference

Generated from source build MOtSZIbzqqhW2xiv8 and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.