We extract company profiles, verified reviews, TrustScores, and category rankings from Trustpilot. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Company Profiles objects from trustpilot.com. All fields typed and schema-versioned.
"domain": "monzo.com", "company_name": "Monzo", "trust_score": 4.4, "review_count": 31492, "claimed_status": true, "categories": "['Bank', 'Financial Institution']", "location": "London, United Kingdom"
| # | domain | company_name | trust_score | review_count | categories | claimed_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from trustpilot.com. All fields typed and schema-versioned.
"review_id": "64b1a2c9e4b0d1a2c9e4b0d1", "company_domain": "monzo.com", "rating": 5, "title": "Excellent customer service", "verified_status": "Invited", "date_published": "2023-10-14T08:22:11Z", "reply_date": "2023-10-15T09:10:00Z"
| # | review_id | company_domain | rating | title | text | date_published |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviewer Profiles objects from trustpilot.com. All fields typed and schema-versioned.
"reviewer_id": "5f8a9b2c1d3e4f5a6b7c8d9e", "name": "Sarah Jenkins", "country": "GB", "review_count": 14, "useful_votes": 3, "latest_review_date": "2023-10-14"
| # | reviewer_id | name | country | review_count | useful_votes | image_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Transparency Metrics objects from trustpilot.com. All fields typed and schema-versioned.
"domain": "monzo.com", "asks_for_reviews": true, "time_on_trustpilot": "7 years", "reply_rate": 98.2, "reply_time": "< 24 hours", "organic_review_pct": 12.4
| # | domain | asks_for_reviews | time_on_trustpilot | merged_profiles | flagged_reviews_count | reply_rate |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Category Rankings objects from trustpilot.com. All fields typed and schema-versioned.
"category_name": "Bank", "rank_position": 3, "company_domain": "monzo.com", "trust_score": 4.4, "review_count": 31492, "location": "United Kingdom"
| # | category_name | category_url | rank_position | company_domain | company_name | trust_score |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Trustpilot scraper handles the platform's aggressive anti-bot measures, dynamic React state hydration, and strict pagination limits. You get clean sentiment data without the HTTP 403 errors.
Extract TrustScore, review counts, category assignments, claimed status, and contact information for any registered business domain.
Capture review text, star rating, publication date, experience date, and verification status across the entire review corpus.
Extract company reply text and response timestamps to measure customer service SLA and engagement rates.
Monitor if a company actively asks for reviews, their reply rate, average reply time, and the percentage of organic versus invited reviews.
Scrape public reviewer profiles to determine review count, geographic location, and useful votes to flag potential astroturfing.
Track company rank positions within specific Trustpilot categories and monitor new entrants in your industry.
Support for trustpilot.com, trustpilot.co.uk, trustpilot.dk, and all other regional domains with localised date parsing.
Automated TLS fingerprint spoofing and residential proxy rotation to bypass Trustpilot's strict Cloudflare Turnstile protection.
Maintain state and only extract new reviews published since the last pipeline run, reducing compute costs and storage bloat.
Brief in. Clean data out.
Provide target domains, category URLs, or competitor lists. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and Cloudflare bypass logic.
Schema validation, null-rate checks, date normalisation, and sample exports before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Trustpilot relies on Cloudflare and strict pagination limits. Here is how we maintain stable extraction.
Trustpilot uses aggressive Cloudflare protection. Our infrastructure uses residential proxies combined with custom TLS fingerprinting and automated Turnstile solvers to maintain high success rates without IP bans.
Trustpilot limits pagination to 500 pages per view. For companies with millions of reviews, we implement automated date-slicing algorithms to extract the complete historical corpus without hitting hard limits.
Much of Trustpilot's data is hydrated via React. We intercept the Next.js build state directly from the DOM, extracting clean JSON payloads rather than relying on brittle CSS selectors.
Regional Trustpilot domains format dates and numbers differently. Our pipeline normalises all timestamps to UTC ISO-8601 and standardises review metrics regardless of the source locale.
For ongoing monitoring, we track the latest review ID per domain. Subsequent runs only fetch new reviews and updated company metrics, providing a clean changelog.
Track competitor TrustScores, review velocity, and customer complaints to identify service gaps and market opportunities.
Feed verified review text into natural language processing models to categorise customer pain points and feature requests.
Identify companies with poor TrustScores in specific categories to target them with reputation management or alternative software solutions.
Aggregate reviews across multiple regional Trustpilot domains into a single internal dashboard for customer success teams.
Private equity firms analyse historical TrustScore trends and review volume to validate company growth claims and customer retention.
Analyse reviewer profiles and transparency metrics to detect review gating, astroturfing, and fake review rings.
"Trustpilot is the definitive system of record for European and North American consumer sentiment - but extracting it requires bypassing aggressive bot protection."
Most teams fail at Trustpilot scraping because they hit Cloudflare blocks or pagination caps. DataFlirt handles the TLS fingerprinting, proxy rotation, and state hydration required to extract review corpora reliably. You get normalised sentiment data, not HTTP 403 errors.
Everything supported by our trustpilot.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and Cloudflare challenges.
We maintain pools of residential ISP proxies across EU and US regions. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About trustpilot.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Trustpilot is generally permissible under applicable law. DataFlirt targets only public, non-authenticated company profiles and reviews. We do not extract personal data beyond public display names, circumvent authentication walls, or violate GDPR.
We use residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and automated Turnstile solvers. We monitor for HTTP 403 rate spikes in real time and trigger pool rotation automatically.
Yes. Trustpilot limits UI pagination to 500 pages. For companies with massive review volumes, our pipeline automatically slices the extraction by date ranges to capture the entire historical corpus without hitting the pagination cap.
Yes. We extract the exact text of the company's reply, the date of the reply, and calculate the time delta between the review publication and the company response.
Yes. We support all regional variants including trustpilot.co.uk, trustpilot.dk, and trustpilot.de. Our pipeline automatically normalises dates and numeric formats to a standard UTC schema.
For ongoing pipelines, we maintain a state file of the latest review IDs seen per company domain. Subsequent runs only extract reviews published after that ID, delivering a clean changelog of new sentiment.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off historical review dump or a continuous sentiment-monitoring feed across 10,000 domains - we scope, build, and operate the pipeline. Tell us what you need.
