We extract comprehensive device specifications, benchmark results, battery test data, and editorial reviews from PhoneArena. 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 Basic Info and Launch objects from phonearena.com. All fields typed and schema-versioned.
"device_id": "12082", "brand": "Samsung", "model": "Galaxy S23 Ultra", "status": "Available", "release_date": "2023-02-17", "dimensions_mm": "163.4 x 78.1 x 8.9", "weight_g": 234, "colours": "['Phantom Black', 'Green', 'Cream', 'Lavender']"
| # | device_id | brand | model | aliases | status | release_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Display and Hardware objects from phonearena.com. All fields typed and schema-versioned.
"device_id": "12082", "screen_size_inches": 6.8, "resolution": "3088 x 1440", "pixel_density_ppi": 501, "refresh_rate_hz": 120, "chipset": "Qualcomm Snapdragon 8 Gen 2", "ram_gb": "[8, 12]", "internal_storage_gb": "[256, 512, 1024]"
| # | device_id | screen_size_inches | resolution | pixel_density_ppi | refresh_rate_hz | screen_to_body_ratio |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Camera and Battery objects from phonearena.com. All fields typed and schema-versioned.
"device_id": "12082", "main_camera_mp": 200, "ultra_wide_mp": 12, "telephoto_mp": 10, "video_recording_max": "8K @ 30fps", "battery_capacity_mah": 5000, "charging_speed_w": 45, "wireless_charging_w": 15
| # | device_id | main_camera_mp | ultra_wide_mp | telephoto_mp | front_camera_mp | video_recording_max |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Benchmarks and Tests objects from phonearena.com. All fields typed and schema-versioned.
"device_id": "12082", "antutu_score": 1241531, "geekbench_single": 1566, "geekbench_multi": 4972, "battery_web_browsing_mins": 1152, "battery_video_playback_mins": 571, "battery_3d_gaming_mins": 435
| # | device_id | antutu_score | geekbench_single | geekbench_multi | gfxbench_car_chase | gfxbench_manhattan |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviews and Ratings objects from phonearena.com. All fields typed and schema-versioned.
"device_id": "12082", "editorial_score": 9.0, "user_rating": 8.8, "review_count": 412, "pros": "['Incredible zoom camera', 'Excellent battery life', 'Top-tier performance']", "cons": "['Expensive', 'Large and heavy']", "reviewer_name": "Victor Hristov", "review_date": "2023-02-15"
| # | device_id | editorial_score | user_rating | review_count | pros | cons |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our PhoneArena scraper extracts deeply nested specification tables, normalises benchmark metrics across generations, and captures editorial sentiment with full JavaScript rendering and proxy management.
Dimensions, materials, IP ratings, and every hardware specification mapped to a clean relational schema.
System-on-chip configurations, RAM variants, and internal storage tiers extracted per device model.
Screen size, resolution, refresh rates, peak brightness, and panel technology captured accurately.
Sensor sizes, apertures, focal lengths, and video recording capabilities for front and rear modules.
Capacity in mAh, wired charging speeds, wireless charging support, and proprietary battery test results.
Geekbench, AnTuTu, GFXBench, and 3DMark scores extracted from dynamic comparison charts.
Official PhoneArena scores, pros and cons lists, and full review text for sentiment analysis.
Aggregated user scores and comment extraction for crowd-sourced product feedback.
Supported 5G bands, Wi-Fi standards, Bluetooth versions, and NFC availability.
Track lifecycle phases from rumoured and announced to available or discontinued.
Brief in. Clean data out.
Provide brand lists, device categories, or release years. We design the extraction schema together.
We configure Scrapy crawlers, Playwright sessions, and proxy rotation for phonearena.com.
Schema validation, unit normalisation, and spec outlier detection before launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
PhoneArena's data structure evolves with mobile technology. Here is how we maintain schema integrity across a decade of device history.
Mobile specs are often presented as strings like '5000 mAh' or '6.8 inches'. We parse and cast these into strict numeric fields, ensuring your database receives clean integers and floats ready for analysis.
As new technologies emerge like foldable displays or under-display cameras, PhoneArena updates its table structures. Our pipelines use flexible extraction logic to map new fields without breaking existing schemas.
Performance metrics and battery test results are rendered via client-side JavaScript charts. We use Playwright to execute the page scripts and intercept the underlying JSON payloads powering these visualisations.
Devices receive OS updates or retroactive benchmark scores months after release. We maintain a hash index of previously scraped devices, pushing only the modified fields to keep your dataset perfectly synced.
Scraping the entire historical catalogue of 12,000+ devices triggers rate limits. We distribute requests across residential IP pools with randomised intervals to maintain high throughput without blocks.
OEMs track competitor spec sheets, release cadences, and pricing tiers to inform their own product development.
Carriers and electronics retailers enrich their online product catalogues with standardised, accurate specification data.
Case and screen protector makers track exact device dimensions, camera bump placements, and release dates.
Analysts track hardware trends like average battery size, RAM capacity, or charging speeds over time across the industry.
ML teams train hardware recommendation engines on spec relationships and editorial sentiment scores.
Consumer guidance platforms ingest editorial scores and pros/cons lists to build meta-scores for mobile devices.
"PhoneArena holds the most structured historical record of mobile hardware evolution, requiring rigorous schema normalisation to query effectively."
Extracting device specifications sounds simple until you encounter ten years of changing form factors, shifting benchmark versions, and inconsistent unit formatting. DataFlirt handles the normalisation, proxy management, and schema maintenance so you receive clean, queryable hardware data.
Everything supported by our phonearena.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 interaction flows for dynamic charts.
We maintain pools of residential ISP proxies across multiple regions. Rotation happens per-request with sticky sessions where required to bypass rate limits.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About phonearena.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from PhoneArena is generally permissible for non-authenticated data. DataFlirt targets only public specifications, benchmark scores, and editorial reviews. We do not extract personal data or circumvent authentication walls.
Our pipeline includes a dedicated normalisation layer. We parse string values like '6.8 inches' or '5000 mAh' into strict float and integer fields, ensuring your database receives clean, structured data regardless of how it was typed on the site.
Yes. We use Playwright to execute the client-side JavaScript that renders these charts, allowing us to capture the underlying numeric scores for Geekbench, AnTuTu, and battery tests.
For active devices, pipelines can run daily to catch new benchmark additions or status changes. Full historical catalogue refreshes are typically scheduled weekly or monthly depending on your requirements.
Yes. We can extract the aggregated user rating score as well as paginate through user comments on device pages for sentiment analysis.
Our smallest packages start at a defined brand list or release year window with weekly delivery. For full historical catalogue extraction, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 100 devices as part of the pre-engagement scoping process so you can validate schema fit, field completeness, and normalisation quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off historical device dump or a continuous feed of new mobile hardware releases, we scope, build, and operate the pipeline. Tell us what you need.
