# Trustpilot Competitor Analyzer (`datacortex/trustpilot-competitor-analyzer`) Actor 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. - **URL**: https://apify.com/datacortex/trustpilot-competitor-analyzer.md - **Developed by:** [datacortex](https://apify.com/datacortex) (community) - **Categories:** E-commerce, Automation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $250.00 / 1,000 business analyzeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 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 ```json { "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:** ```json { "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):** ```json { "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 ($350+/month), you pay per analysis instead of a subscription. ### Limitations - Public Trustpilot pages only — no login walls bypassed - English-tuned phrase extraction; the AI briefing handles other languages - One run analyzes 1–50 businesses; larger batches need multiple runs ### Author Built and maintained by [DataCortex IQ](https://datacortex.in) — an AI engineering studio specializing in RAG, voice AI, and applied ML for growth-stage companies. Questions or feedback: open an issue on the [GitHub repo](https://github.com/irfanalidv/trustpilot-competitor-analyzer). # Actor input Schema ## `domains` (type: `array`): One per line. Either a full Trustpilot URL like 'https://www.trustpilot.com/review/stripe.com' or just the company domain like 'stripe.com'. Add multiple to compare competitors. ## `max_reviews_per_business` (type: `integer`): How many recent reviews to analyze per business. More reviews = stronger themes, slightly higher cost. ## Actor input object example ```json { "domains": [ "wise.com" ], "max_reviews_per_business": 40 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "domains": [ "wise.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("datacortex/trustpilot-competitor-analyzer").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "domains": ["wise.com"] } # Run the Actor and wait for it to finish run = client.actor("datacortex/trustpilot-competitor-analyzer").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "domains": [ "wise.com" ] }' | apify call datacortex/trustpilot-competitor-analyzer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=datacortex/trustpilot-competitor-analyzer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trustpilot Competitor Analyzer", "description": "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.", "version": "0.0", "x-build-id": "3QhPbEN9WPR0fdKQQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/datacortex~trustpilot-competitor-analyzer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-datacortex-trustpilot-competitor-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/datacortex~trustpilot-competitor-analyzer/runs": { "post": { "operationId": "runs-sync-datacortex-trustpilot-competitor-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/datacortex~trustpilot-competitor-analyzer/run-sync": { "post": { "operationId": "run-sync-datacortex-trustpilot-competitor-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "domains" ], "properties": { "domains": { "title": "Trustpilot URLs or company domains", "minItems": 1, "maxItems": 50, "uniqueItems": true, "type": "array", "description": "One per line. Either a full Trustpilot URL like 'https://www.trustpilot.com/review/stripe.com' or just the company domain like 'stripe.com'. Add multiple to compare competitors.", "items": { "type": "string" } }, "max_reviews_per_business": { "title": "Reviews per business", "minimum": 20, "maximum": 5000, "type": "integer", "description": "How many recent reviews to analyze per business. More reviews = stronger themes, slightly higher cost.", "default": 40 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```