SYSTEM all green source whathifi.com queue 14,892 pages p99 latency 215ms dataflirt.com · scraper/whathifi-com
RUN * 42 active pipelines * whathifi.com live

Audiophile data,
at warehouse scale.

We extract expert reviews, 5-star ratings, technical specifications, and affiliate pricing widgets from What Hi-Fi?. Delivered as clean JSON, CSV, or Parquet to your data warehouse.

Reviews extracted
12.4K /month
Spec sheets
45.1K /total
Price widget updates
182K /24h
Active pipelines
42
Uptime
99.98%
Data Dictionary

Every field we extract from whathifi.com

Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.

Complete list of extractable fields for Product Reviews objects from whathifi.com. All fields typed and schema-versioned.

urltitlebrandcategorystar_ratingreview_dateauthorverdictprosconsreview_bodyimage_urls
product_reviews
● 200 OK
"url": "https://www.whathifi.com/reviews/sony-wh-1000xm5",
"title": "Sony WH-1000XM5 review",
"brand": "Sony",
"star_rating": 5,
"author": "What Hi-Fi? Staff",
"verdict": "The best noise-cancelling headphones on the market.",
"pros": "['Exceptional clarity', 'Class-leading ANC']"
# urltitlebrandcategorystar_ratingreview_date
1
2
3

Complete list of extractable fields for Technical Specifications objects from whathifi.com. All fields typed and schema-versioned.

product_idurldimensionsweightinputsoutputsbluetooth_versiondriver_typeimpedancesensitivityfinish_options
technical_specifications
● 200 OK
"product_id": "sony-wh-1000xm5",
"dimensions": "25 x 20 x 7 cm",
"weight": "250g",
"inputs": "3.5mm jack",
"bluetooth_version": "5.2",
"driver_type": "30mm dynamic",
"finish_options": "['Black', 'Silver', 'Midnight Blue']"
# product_idurldimensionsweightinputsoutputs
1
2
3

Complete list of extractable fields for Pricing & Deals objects from whathifi.com. All fields typed and schema-versioned.

product_idretailer_namepricecurrencybuy_urlwidget_idstock_statusshipping_costscrape_timestamp
pricing_& deals
● 200 OK
"product_id": "sony-wh-1000xm5",
"retailer_name": "Amazon",
"price": 329.0,
"currency": "GBP",
"buy_url": "https://amazon.co.uk/dp/B09...",
"stock_status": "In Stock",
"scrape_timestamp": "2026-05-12T14:30:00Z"
# product_idretailer_namepricecurrencybuy_urlwidget_id
1
2
3

Complete list of extractable fields for Best Buy Guides objects from whathifi.com. All fields typed and schema-versioned.

guide_urlguide_titlecategorylast_updatedproduct_rankproduct_nameproduct_urlaward_winnersummary_text
best_buy guides
● 200 OK
"guide_url": "https://www.whathifi.com/best-buys/best-wireless-headphones",
"guide_title": "Best wireless headphones 2026",
"category": "Headphones",
"product_rank": 1,
"product_name": "Sony WH-1000XM5",
"award_winner": true,
"last_updated": "2026-05-01"
# guide_urlguide_titlecategorylast_updatedproduct_rankproduct_name
1
2
3

Complete list of extractable fields for News & Features objects from whathifi.com. All fields typed and schema-versioned.

article_urlheadlinepublish_dateauthortopictagsbody_textimage_urlsrelated_links
news_& features
● 200 OK
"article_url": "https://www.whathifi.com/news/new-spatial-audio-format",
"headline": "Dolby announces new spatial audio format",
"publish_date": "2026-05-10",
"author": "News Team",
"topic": "Home Cinema",
"tags": "['Dolby', 'Spatial Audio', 'News']"
# article_urlheadlinepublish_dateauthortopictags
1
2
3

Capabilities

Extract audio expertise at scale

Our What Hi-Fi? scraper converts unstructured editorial layouts, dynamic affiliate widgets, and category-specific spec sheets into strict, queryable schemas.

Expert Review Extraction

Capture full review text, definitive verdicts, and 5-star ratings from decades of archived editorial content.

Pros & Cons Parsing

Extract structured arrays of positive and negative points assigned by reviewers for direct product comparison.

Spec Sheet Normalisation

Map wildly different technical specifications across TVs, amplifiers, and headphones into unified JSON fields.

Affiliate Widget Hydration

Execute JavaScript to load Hawk affiliate widgets, capturing retailer names, pricing, and buy-box links.

Award Winner Tracking

Identify products tagged with the prestigious What Hi-Fi? Awards badge across all historical categories.

Best Buy Guide Monitoring

Track product rankings and editorial summaries within constantly updated buyer guides.

Author & By-line Data

Extract reviewer names, publication dates, and update timestamps for editorial auditing.

Category Traversal

Navigate complex taxonomy trees from Hi-Fi and Home Cinema to portable audio and accessories.

Image Asset Extraction

Capture high-resolution product photography and gallery CDN links embedded within reviews.

Change Detection

Maintain hash indexes of buyer guides to only emit diffs when rankings or products change.

// engagement pipeline

From editorial site to structured database

Brief in. Clean data out.

Define Scope
d 0

Provide categories, guide URLs, or brand names. We map the target schema for your specific requirements.

Pipeline Build
d 2–4

We configure Scrapy and Playwright to handle Future plc site structures and dynamic widget hydration.

Validation & QA
d 4–6

Schema validation, null-rate checks, and widget price accuracy verification run before full deployment.

Delivery
ongoing

JSON, CSV, or Parquet pushed to S3, BigQuery, or via Webhook on your required cadence.

Under the hood

Overcoming editorial scraping challenges

Publishing platforms like Future plc use dynamic layouts and aggressive caching. Here is how we ensure data consistency.

pipeline-monitor · whathifi.com · live ● active
// fingerprinting
Identity rotation
TLS fingerprintrandomised
User-agentrotated
IP poolresidential
Challenges blocked0
// pagination
Page coverage
48,291 pages queued running
// observability
Pipeline health
99.9%
uptime
142ms
p99 lat
0.3%
null rate
2
alerts
Dynamic Widgets
JavaScript execution for affiliate pricing

Retailer prices on What Hi-Fi? are loaded via third-party Hawk affiliate widgets. We use Playwright to execute the JavaScript, wait for network idle, and extract the rendered pricing data.

Infinite Scroll
Pagination interception

News feeds and category archives rely on infinite scroll. Our crawlers intercept XHR requests to paginate through historical content without loading heavy DOM elements.

Bot Protection
Residential IP rotation

Media networks deploy strict WAF rules to block datacenter IPs. We route requests through residential proxies with realistic TLS fingerprints to maintain high success rates.

Unstructured Specs
Category-specific parsing

A television spec sheet looks entirely different from a DAC spec sheet. We maintain category-specific parsing rules to map raw HTML tables into strictly typed JSON fields.

Content Updates
Hash-based diffing

Best Buy guides are updated frequently. We hash the content of each guide and only trigger downstream alerts when a product rank changes or a new item is added.

Applications

Who uses What Hi-Fi? data

Teams across industries use whathifi.com data to build competitive products and smarter operations.

01
Brand Sentiment Analysis

Consumer electronics manufacturers track expert reception and star ratings of new audio hardware launches.

02
Competitor Benchmarking

Product teams compare feature sets, verdicts, and spec sheets across rival product lines to identify market gaps.

03
Affiliate Price Monitoring

Retailers track which competitors win the buy-box within high-traffic What Hi-Fi? pricing widgets.

04
Product Development

R&D teams mine structured pros and cons lists to identify and rectify common flaws in current market offerings.

05
SEO & Content Strategy

Publishers analyse the structure and update frequency of top-ranking Best Buy guides to model their own content.

06
Retailer Assortment Planning

Buyers for AV retailers optimise their stock purchasing based on What Hi-Fi? Award winners and expert consensus.

Why DataFlirt

"What Hi-Fi? holds the definitive expert consensus for consumer audio, but extracting structured specs and ratings from editorial layouts requires precision parsing."

Editorial sites present unique scraping challenges. Content is heavily unstructured, spec sheets change format by category, and pricing is buried in third-party JavaScript widgets. DataFlirt handles the DOM parsing, widget hydration, and proxy rotation so you receive clean, queryable data without managing the infrastructure.

Technical Spec

What Hi-Fi? extraction capabilities

Everything supported by our whathifi.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.

JS rendering for pricing widgets
Playwright sessions to hydrate Hawk affiliate price tables
Supported
Star rating extraction
Parse 5-star graphical elements into integer values
Supported
Pros/Cons arrays
Extract bulleted verdict points into structured JSON arrays
Supported
Full article text
Clean text extraction stripping ads and inline promotions
Supported
Proxy rotation
Residential IPs to bypass Future plc WAF rules
Supported
Hash-based diffing
Detect rank changes in Best Buy guides automatically
Supported
High-res image URLs
Extract original CDN links for product photography
Supported
User comments
Disqus or third-party comment frames requiring user authentication
Partial
Magazine PDF archives
Digital print issues gated behind paid subscriber authentication
Partial
Infrastructure

Infrastructure powering the pipeline

Open-source tooling on proven cloud infra — no vendor lock-in, full observability.

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential ProxiesDockerKubernetesGrafanaPrometheus
Scrapy + Playwright

Scrapy handles crawling logic and deduplication, while Playwright executes JavaScript to render affiliate pricing widgets.

Proxy Infrastructure

Residential IP pools rotate per request to bypass WAF protections common on large publishing networks.

Cloud-Native Orchestration

Pipelines execute on AWS Lambda and ECS, orchestrated by Airflow for strict SLA compliance and monitoring.

Output & Delivery

Your data, your destination

Data delivered to where your team already works — no new tooling required.

JSON
Nested schema ideal for document stores
CSV
Flat files for spreadsheet analysis
Parquet
Columnar format for data warehouses
AWS S3
Direct delivery to your cloud storage
Webhook
HTTP POST for real-time price widget updates
API
REST endpoints to query historical reviews
BigQuery
Direct streaming into Google Cloud
Snowflake
Stage and COPY INTO workflows
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

About whathifi.com scraping, legality, and pipeline operations.

Ask us directly →
Is scraping What Hi-Fi? legal?

Yes. We extract publicly available editorial content, specifications, and pricing data without bypassing authentication walls or scraping personal user data.

Can you extract prices from the retailer widgets?

Yes. We use Playwright to execute the JavaScript required to load the Hawk affiliate widgets, capturing retailer names, prices, and stock status.

How do you handle unstructured technical specs?

We build category-specific parsers. A television review pipeline has different extraction rules than a headphone review pipeline, ensuring fields are correctly normalised.

Do you track changes in Best Buy guides?

Yes. We run scheduled diffs on buyer guides, emitting new records only when a product's rank changes or a new item is added to the list.

How fresh is the data?

Pipelines can be configured for daily runs to catch new reviews and guide updates, or higher frequency runs for pricing widget monitoring.

Can you extract high-resolution images?

Yes. We extract the raw CDN URLs for all product photography embedded within the review galleries.

Do you scrape other Future plc sites?

Yes. The underlying infrastructure can be adapted to scrape TechRadar, Tom's Guide, and other sister publications with similar DOM structures.

$ dataflirt scope --new-project --source=whathifi.com ready

Tell us what
to extract.
We do the rest.

20-minute scoping call. Pilot dataset within the week. Production within two. Need a full historical archive of AV reviews or continuous monitoring of Best Buy guides? We build and operate the pipeline. Tell us your requirements.

hello@dataflirt.com · Bengaluru · IST · typical reply < 4h
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