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B2B software review research

See what buyers say about your product and its competitors: ratings, pros and cons, company size and role of the reviewer, never the reviewer’s name.

Steps

  1. Name the products (or paste their review page links).
  2. Run one actor for several sites at once, or one per site.
  3. Compare ratings and recurring pros and cons by competitor.

Actors for this job

Software Reviews Scraper

Type a product name like "Slack" or paste a mix of links and get its reviews from Capterra (and optionally Software Advice), Google Play and the App Store in one dataset, one row shape: rating, title, text, pros, cons, date, the reviewer's role and company size where the site has them. $1.79 per 1,000 reviews on the free plan, and you pay only for the rows you get.

$1.79 per 1,000 reviews on the Free plan, down to $1.16 on higher plans

  • Buyer versus user view: compare what procurement-minded reviewers say with what app users say.
  • Competitor tracking: run weekly with onlyNewReviews and watch what changes.
  • Sentiment analysis: feed review text and ratings into your own model or spreadsheet.

Apify Store · Guide · Comparison

Capterra Reviews Scraper

Give it Capterra product URLs and it returns one JSON row per review: overall and sub-ratings, pros, cons, review text, the reviewer's role, industry and company size, how long they used the product and the incentivized flag. $1.79 per 1,000 reviews on the free plan, and you pay only for the rows you get.

$1.79 per 1,000 reviews on the Free plan, down to $1.16 on higher plans

Apify Store · Guide · Comparison

TrustRadius Reviews Scraper

Give it TrustRadius product pages or product names and it returns one JSON row per review: rating, title, use case, pros, cons, the reviewer's job role and company size, and the incentive flag. $3.59 per 1,000 reviews on the free plan, and you pay only for the rows you get.

$3.59 per 1,000 reviews on the Free plan, down to $2.24 on higher plans

  • Competitive intelligence: export a rival's newest reviews every week and see what buyers praise and complain about.
  • Win and loss analysis: pull only the 1 and 2 rated reviews, or only reviews from large companies, and look for patterns.
  • Due diligence: read a software company's reviews by buyer role and company size before an investment or acquisition.

Apify Store · Guide · Comparison

Quick start

Run the first actor from Python (set APIFY_TOKEN):

# pip install apify-client
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("arcadium/software-reviews").call(run_input={
    "products": ["Slack"],
    "sources": ["capterra", "googleplay", "appstore"],
    "maxReviewsPerSource": 20,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

Or give an AI assistant all 3 actors as tools:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=arcadium/software-reviews,arcadium/capterra-reviews,arcadium/trustradius-reviews",
      "headers": {
        "Authorization": "Bearer <APIFY_TOKEN>"
      }
    }
  }
}