We extract business profiles, customer reviews, trust ratings, and verified buyer signals from Sitejabber. 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 Business Profiles objects from sitejabber.com. All fields typed and schema-versioned.
"domain": "example.com", "business_name": "Example Corp", "overall_rating": 4.2, "review_count": 1402, "claimed_status": true, "category": "Software"
| # | domain | business_name | description | category | overall_rating | review_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Customer Reviews objects from sitejabber.com. All fields typed and schema-versioned.
"review_id": "sj_849103", "star_rating": 5, "review_title": "Great service", "date_posted": "2023-11-04", "verified_buyer": true, "helpful_votes": 12
| # | review_id | domain | reviewer_name | reviewer_location | star_rating | review_title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviewer Profiles objects from sitejabber.com. All fields typed and schema-versioned.
"reviewer_id": "usr_9912", "username": "John D.", "location": "London, UK", "total_reviews_written": 43, "helpful_votes_received": 104, "join_date": "2021-02-14"
| # | reviewer_id | username | location | total_reviews_written | helpful_votes_received | join_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Business Responses objects from sitejabber.com. All fields typed and schema-versioned.
"review_id": "sj_849103", "responder_name": "Customer Success Team", "response_text": "Thank you for the feedback.", "response_date": "2023-11-05", "resolution_status": "resolved", "domain": "example.com"
| # | response_id | review_id | domain | responder_name | responder_role | response_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Category Rankings objects from sitejabber.com. All fields typed and schema-versioned.
"category_name": "Web Hosting", "rank_position": 4, "domain": "hostexample.com", "overall_rating": 4.8, "review_count": 5420, "scraped_at": "2026-05-12T09:14:33Z"
| # | category_name | rank_position | domain | business_name | overall_rating | review_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Sitejabber scraper handles every layer of the platform: business profiles, paginated review threads, trust signals, and category rankings.
Domain, description, contact details, social links, and claimed status.
Full review text, star ratings, and publication dates.
Extract verified buyer tags and trust score metrics.
Capture how and when businesses reply to customer feedback.
Reviewer location, username, and historical contribution counts.
Monitor top businesses across specific Sitejabber categories.
Review text is stripped of HTML and normalised for NLP processing.
Deep scraping across thousands of paginated review pages.
Run one-off bulk exports or configure continuous pipelines.
Brief in. Clean data out.
Provide target domains or categories. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for sitejabber.com.
Schema validation, null-rate checks, and sample reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Sitejabber employs rate limiting and bot protection to guard its review corpus. Here is how we maintain steady extraction.
Sitejabber monitors request volume. We use residential ISP proxies with realistic browser fingerprints and randomised request timing.
Businesses with thousands of reviews require deep pagination. Our crawlers maintain state across hundreds of pages without dropping records.
Sitejabber updates its DOM structure. Our selector strategy uses multiple fallback chains per field.
For continuous monitoring, we maintain a hash index of last-seen values. Subsequent runs only push new reviews.
Every run emits structured logs. We alert on null-rate spikes and coverage drops.
Track competitor sentiment, feature requests, and common complaints to inform product strategy.
Monitor your own brand's reviews across Sitejabber to calculate support response times.
Identify highly rated B2B vendors or unhappy customers of competitors for targeted outreach.
Analyse category trends and customer expectations within specific industry verticals.
Evaluate company health and customer satisfaction metrics before mergers or acquisitions.
Train sentiment classifiers and entity recognition models on a clean corpus of verified reviews.
"Sitejabber contains millions of verified consumer interactions. Extracting this corpus provides immediate, unvarnished visibility into product quality and customer sentiment across any industry."
Building a reliable Sitejabber scraper requires navigating aggressive rate limits, handling complex pagination states, and parsing nested review threads. DataFlirt manages the proxy rotation, CAPTCHA solving, and schema maintenance. Your engineering team receives structured, analysis-ready review data without operating the extraction infrastructure.
Everything supported by our sitejabber.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 and retry logic. Playwright handles JavaScript rendering and interaction flows.
We maintain pools of residential proxies. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About sitejabber.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Sitejabber is generally permissible. DataFlirt targets only public business profiles and reviews. We do not extract personal data behind authentication walls.
We use residential ISP proxies and request timing modelled on human behaviour. We monitor for rate spikes in real time.
Yes. You can provide a specific list of domains, and we will extract only the profiles and reviews for those targets.
Yes. We extract the official business response text, responder name, and response date linked to the original review.
Pipelines can be configured for daily or weekly runs, ensuring you receive new reviews shortly after they are published.
Yes. A full historical scrape captures all available paginated reviews from the inception of the business profile.
Our smallest packages start at a defined domain list with weekly delivery. Contact us with your use case for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of category reviews or a continuous sentiment feed across key competitors, we scope, build, and operate the pipeline. Tell us what you need.
