Trustpilot Competitor Analyzer

Drop in Trustpilot URLs or company domains. Get back review themes, reply quality scoring, sentiment trends, and a head-to-head ranking of competitors — AI-summarized, no setup, no API keys.

Built for B2B SaaS founders, marketing/CX teams, agencies, and analysts who need competitor reputation benchmarks without paying $69-$350/month for ReviewTrackers or Birdeye.

What this actor does

For each business domain you provide, this actor:

1. Scrapes recent Trustpilot reviews (up to 5,000 per business)
2. Computes a 0–100 reputation health score weighted toward replies-on-negative-reviews — the actual lever for reputation management
3. Surfaces recurring complaint and praise themes from real review text
4. Adds a one-paragraph AI executive briefing per business
5. When you analyze multiple businesses, ranks them head-to-head on every metric with a one-line headline (included free with the run)

Why not just use a Trustpilot scraper?

Most "Trustpilot scrapers" give you raw reviews and stop. You still have to do the analysis yourself — tag complaints, score reply quality, normalize across competitors. This actor does that work and returns ready-to-use intelligence.

Compared to review-monitoring SaaS (ReviewTrackers, Birdeye, etc.), you pay per analysis instead of $69–$350/month. A monthly check of your top 5 competitors costs ~$16/year at current pay-per-event rates.

Input

{
  "domains": [
    "stripe.com",
    "paypal.com",
    "wise.com"
  ],
  "max_reviews_per_business": 200
}

Field	Type	Description
domains	string[]	Trustpilot URLs (https://www.trustpilot.com/review/stripe.com) or bare domains (stripe.com). 1–50 per run.
max_reviews_per_business	integer	How many recent reviews to analyze per business. 20–5000, default 200.

Output

Each business produces one business item, plus one comparison item per run.

Business item:

{
  "type": "business",
  "metrics": {
    "domain": "stripe.com",
    "display_name": "Stripe",
    "trust_score": 4.2,
    "health_score": 72.4,
    "rating_distribution": { "negative_pct": 0.18, "positive_pct": 0.74 },
    "reply_metrics": {
      "reply_rate": 0.85,
      "reply_rate_on_negative": 0.92,
      "reply_quality_score": 0.78,
      "median_reply_days": 1.2
    },
    "trend_metrics": { "trend_30d_vs_90d": -0.15 },
    "trust_signals": { "verified_pct": 0.91, "top_countries": [["US", 78]] }
  },
  "themes": {
    "top_phrases_negative": [
      { "text": "customer support", "count": 12, "avg_rating": 1.4 },
      { "text": "hidden fees", "count": 7, "avg_rating": 1.7 }
    ],
    "top_phrases_positive": [
      { "text": "easy to integrate", "count": 18, "avg_rating": 4.9 }
    ],
    "summary_overall": "Stripe scores well on reply quality and verified-review share. Recent reviews trend slightly negative, driven primarily by customer-support complaints (12 of 50 negative reviews mention this). The same support quality customers praise in some reviews appears as the top complaint in others — a service-tier gap is the actionable lead."
  }
}

Comparison item (one per run):

{
  "type": "comparison",
  "headline": "stripe.com leads on overall health (72.4); paypal.com lags on reply quality (0.31)",
  "businesses_analyzed": ["stripe.com", "paypal.com", "wise.com"],
  "rankings": [
    {
      "metric": "Overall health score (0-100)",
      "leader": "stripe.com",
      "laggard": "paypal.com",
      "entries": [ /* all businesses ranked, with values */ ]
    }
    /* eight more rankings: reply quality, sentiment trend, % verified, etc. */
  ]
}

For failed domains, the item contains error and error_message fields instead.

Use cases

• Competitive benchmarking — Where do you stand against your top 5 competitors on reputation?
• Pre-investment due diligence — Fast reputation audit on prospects, portfolio companies, or acquisition targets
• Marketing & CX teams — Monthly reputation check across your industry
• Sales enablement — "Here's why customers leave [competitor] in their own words"
• Agency client reports — Drop the JSON into a dashboard; refresh monthly

Performance

• Typical run: ~1-2 minutes per business analyzed (real-browser scrape with full pagination)
• Pages 2+ use Trustpilot's internal JSON API (5–10× faster than HTML scraping)
• ~30 fields per review extracted, including verified status, language, business reply, and consumer country
• Apify residential proxy rotation per business raises success rate against Cloudflare; some businesses with very aggressive bot protection may not always succeed on first try — failures are logged with details and not charged.

Pricing

Pay-per-event. No subscription.

Event	Price	When
Actor start	$0.10	Once per run
Business analyzed	$0.25	Per business successfully scraped + analyzed (includes review scrape, metrics, themes, AI summary)

The head-to-head comparison report is included free when you analyze 2+ businesses.

Run	Cost
1 business	$0.35
3 businesses	$0.85
5 businesses	$1.35
10 businesses	$2.60

A monthly run of your top 5 competitors costs ~$16/year. Failed analyses are not charged.

Compared to ReviewTrackers ($69+/month) or Birdeye ($350+/month), you pay per analysis instead of a subscription.

Limitations

• Public Trustpilot pages only — no login walls bypassed
• English-tuned phrase extraction; the AI briefing handles other languages
• One run analyzes 1–50 businesses; larger batches need multiple runs

Author

Built and maintained by DataCortex IQ — an AI engineering studio specializing in RAG, voice AI, and applied ML for growth-stage companies.

Questions or feedback: open an issue on the GitHub repo.