SYSTEM all green source hardware.info queue 12,491 pages p99 latency 184ms dataflirt.com · scraper/hardware-info
RUN * 41 active pipelines * hardware.info live

Hardware data,
at warehouse scale.

We extract PC component specifications, benchmark scores, price comparisons, and user reviews from hardware.info. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.

Products extracted
84.2K /day
Benchmark scores
1.2M /run
Price updates
452K /24h
Active pipelines
41
Uptime
99.98%
Data Dictionary

Every field we extract from hardware.info

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

Complete list of extractable fields for Component Specs objects from hardware.info. All fields typed and schema-versioned.

product_idcategorybrandmodel_nameean_coderelease_datemsrpwarranty_periodform_factorsocket_type
component_specs
● 200 OK
"product_id": "HW-89214",
"category": "Processors",
"brand": "AMD",
"model_name": "Ryzen 7 7800X3D",
"ean_code": "0730143314930",
"socket_type": "AM5",
"msrp": 449.0
# product_idcategorybrandmodel_nameean_coderelease_date
1
2
3

Complete list of extractable fields for Benchmark Results objects from hardware.info. All fields typed and schema-versioned.

product_idbenchmark_nameapplication_versionresolutiongraphics_presetscore_valuescore_unittest_system_cputest_system_gpu
benchmark_results
● 200 OK
"product_id": "HW-89214",
"benchmark_name": "Cinebench R23",
"application_version": "23.200",
"score_value": 18241.0,
"score_unit": "cb",
"test_system_gpu": "RTX 4090",
"resolution": "N/A"
# product_idbenchmark_nameapplication_versionresolutiongraphics_presetscore_value
1
2
3

Complete list of extractable fields for Price Comparison objects from hardware.info. All fields typed and schema-versioned.

product_idretailer_nameretailer_idprice_eurshipping_costtotal_pricestock_statusdelivery_time_daystimestamp
price_comparison
● 200 OK
"product_id": "HW-89214",
"retailer_name": "Megekko",
"price_eur": 389.0,
"shipping_cost": 3.95,
"total_price": 392.95,
"stock_status": "In Stock",
"timestamp": "2026-05-12T10:14:00Z"
# product_idretailer_nameretailer_idprice_eurshipping_costtotal_price
1
2
3

Complete list of extractable fields for User Reviews objects from hardware.info. All fields typed and schema-versioned.

review_idproduct_idauthor_usernamerating_overallpros_listcons_listreview_bodyhelpful_votespublish_date
user_reviews
● 200 OK
"review_id": "REV-99124",
"product_id": "HW-89214",
"author_username": "TechEnthusiast99",
"rating_overall": 4.5,
"helpful_votes": 14,
"publish_date": "2026-04-18",
"pros_list": "['Gaming performance', 'Efficiency']"
# review_idproduct_idauthor_usernamerating_overallpros_listcons_list
1
2
3

Complete list of extractable fields for Awards & Verdicts objects from hardware.info. All fields typed and schema-versioned.

product_idaward_nameaward_tiereditorial_scoreverdict_textauthor_namepublication_datereview_url
awards_& verdicts
● 200 OK
"product_id": "HW-89214",
"award_name": "Ultimate Choice",
"award_tier": "Gold",
"editorial_score": 9.2,
"author_name": "Koen Crijns",
"publication_date": "2026-02-14",
"review_url": "/reviews/1124/amd-ryzen-7-7800x3d-review"
# product_idaward_nameaward_tiereditorial_scoreverdict_textauthor_name
1
2
3

Capabilities

Hardware intelligence pipelines

Extract deep specification matrices, benchmark performance scores, and real-time Benelux retailer pricing from hardware.info.

Full Specification Extraction

Capture EAN codes, socket types, form factors, TDP, and hundreds of category-specific technical fields parsed from complex HTML tables.

Benchmark Matrix Scraping

Extract performance scores across games and synthetic tests, including resolution, graphics presets, and test system configuration.

Retailer Price Tracking

Monitor pricing across Benelux retailers, capturing base price, shipping costs, and total aggregate pricing per component.

Stock and Delivery Monitoring

Track inventory status and estimated delivery windows from third-party retailer listings linked on hardware.info.

User Review Mining

Extract user-generated reviews, including overall ratings, structured pros and cons lists, and helpful vote metrics.

Editorial Verdicts & Awards

Capture official hardware.info editorial scores, award tiers (e.g., Excellent Choice), and verdict summaries.

Product Category Mapping

Maintain accurate component taxonomy, mapping products to their exact sub-categories and manufacturer brands.

Historical Price Trends

Extract data points from JavaScript-rendered historical price charts to build long-term pricing models.

Scheduled Pipeline Execution

Run extractions at defined cadences with change-detection diffing to monitor daily price fluctuations.

// engagement pipeline

From component list to warehouse record

Brief in. Clean data out.

Define Scope
d 0

Provide categories, brands, or specific hardware.info URLs. We design the target extraction schema.

Pipeline Build
d 2–4

We configure crawlers, proxy rotation, session management, and table-parsing logic for hardware.info.

Validation & QA
d 4–6

Schema validation, null-rate checks, and unit conversion verification before full launch.

Delivery
ongoing

JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.

Under the hood

Handling complex specification matrices

Hardware.info relies on deeply nested tables and dynamic price charts. Here is how we maintain data integrity.

pipeline-monitor · hardware.info · 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
Anti-bot layer
Residential proxy rotation

We utilise residential ISP proxies from NL and BE regions to ensure consistent access and prevent IP blacklisting during high-volume category crawls.

JavaScript rendering
Playwright execution for dynamic charts

Historical price charts and interactive benchmark comparisons require full JavaScript execution. We run Playwright to hydrate the DOM before extraction.

Complex table parsing
Dynamic specification mapping

Component specifications vary wildly between GPUs and motherboards. Our parsers dynamically map row headers to schema keys, handling missing or merged cells.

Change detection
Delta exports for pricing

We maintain state on previous price crawls. Pipelines can be configured to only emit records when a retailer changes their price or stock status.

Monitoring & alerting
Automated schema drift detection

Hardware sites frequently update their layout for new product launches. We alert on null-rate spikes and schema drift in real time.

Applications

Who uses hardware.info data

Teams across industries use hardware.info data to build competitive products and smarter operations.

01
Price Intelligence and Repricing

Retailers monitor competitor pricing across the Benelux region to adjust their own margins and stay competitive.

02
Component Market Research

Manufacturers track user sentiment and editorial review scores against competing products in the same tier.

03
Competitor Benchmarking

Hardware brands aggregate synthetic and gaming benchmark scores to position their products in marketing materials.

04
AI Training Data

Machine learning teams use structured specification matrices to train technical Q&A models and recommendation engines.

05
Retailer Margin Analysis

Distributors analyse MSRP versus street price across multiple retailers to identify margin compression.

06
Enthusiast Platform Building

PC building websites aggregate specifications and compatibility data to power custom build configurators.

Why DataFlirt

"Hardware.info holds the most exhaustive PC component benchmark and specification matrix in Europe, but extracting structured relations requires dedicated infrastructure."

Most teams underestimate the investment required: reliable hardware.info scraping requires residential proxies, full JavaScript rendering for dynamic price charts, daily selector maintenance for complex specification tables, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis.

Technical Spec

Hardware.info scraper technical specifications

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

JavaScript rendering
Full Playwright sessions required for interactive price charts and benchmark filters
Supported
CAPTCHA bypass
Automated solver integration for rate-limit challenges
Supported
Residential proxy rotation
ISP-grade residential IPs from NL/BE pools to mimic local traffic
Supported
Benelux retailer pricing
Extracts linked retailer prices, shipping costs, and stock status
Supported
Benchmark matrix mapping
Normalises test scores across different resolutions and quality presets
Supported
Change detection (diffs)
Hash-based diff to emit only changed prices or new reviews
Supported
User account watchlists
Extraction of private user wishlists or account-specific alerts
Partial
Retailer backend inventory
Exact stock counts from third-party retailers not displayed on the frontend
Partial
Infrastructure

Infrastructure powering the extraction

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

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential ProxiesDockerKubernetesGrafanaPrometheusAPIXLS
Scrapy + Playwright Stack

Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering for dynamic price history charts.

Residential Proxy Infrastructure

We maintain pools of residential ISP proxies across NL and BE regions to ensure consistent access without rate limiting.

Cloud-Native Orchestration

Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.

Output & Delivery

Your data, your destination

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

JSON
Newline-delimited or nested schema
CSV
Flat file with typed columns
XLS
Excel compatible format for analysts
Parquet
Columnar format for BigQuery and Snowflake
AWS S3
Direct bucket delivery
Webhook
HTTP POST per record for real-time processing
API
REST endpoint for on-demand querying
PostgreSQL
Upsert into your existing schema
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

About hardware.info scraping, legality, and pipeline operations.

Ask us directly →
Is scraping hardware.info legal?

Scraping publicly available information is generally permissible. DataFlirt targets only public product, pricing, and review data. We do not extract personal data or circumvent authentication walls. Clients should consult legal counsel for their specific use cases.

How do you parse complex benchmark tables?

Our parsers use dynamic mapping logic to associate row headers (e.g., game title, resolution) with column values (e.g., average FPS, 1% low FPS). This ensures data remains structured even when table layouts vary between CPU and GPU reviews.

Which retailers are included in the price data?

We extract all retailer listings displayed on the hardware.info price comparison pages, covering major Benelux vendors like Megekko, Azerty, Alternate, and Amazon.nl.

How fresh is the pricing data?

Pipelines can be configured to run daily or at custom intervals. The data reflects the exact pricing displayed on hardware.info at the time of the crawl.

Can you track historical price charts?

Yes. We execute JavaScript to render the historical price chart components and extract the underlying data points to provide a time-series view of product pricing.

What is the minimum viable engagement?

Our smallest packages start at a defined category list (e.g., all current-generation CPUs and GPUs) with weekly delivery. Contact us with your specific requirements for a scoped quote.

$ dataflirt scope --new-project --source=hardware.info ready

Tell us what
to extract.
We do the rest.

20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off specification dump or a continuous price-monitoring feed across thousands of components. Tell us what you need.

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