We extract smartphone reviews, hardware specifications, news archives, and buyer's guides from Android Authority. 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 Articles & News objects from androidauthority.com. All fields typed and schema-versioned.
"url": "https://www.androidauthority.com/google-pixel-9-pro-review-3469123/", "title": "Google Pixel 9 Pro review: The goldilocks phone", "author_name": "Ryan Haines", "publish_date": "2024-08-21T14:00:00Z", "category": "Reviews", "tags": "['Google', 'Smartphones', 'Pixel 9 Pro']", "comment_count": 84
| # | url | title | author_name | publish_date | update_date | category |
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Complete list of extractable fields for Device Reviews objects from androidauthority.com. All fields typed and schema-versioned.
"device_name": "Pixel 9 Pro", "brand": "Google", "review_score": 4.5, "pros": "['Excellent camera system', 'Premium build', 'Long software support']", "cons": "['Slow charging', 'Tensor G4 runs warm']", "verdict": "The best Android phone for most people right now.", "reviewer": "Ryan Haines"
| # | device_name | brand | review_score | pros | cons | verdict |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Hardware Specs objects from androidauthority.com. All fields typed and schema-versioned.
"device_name": "Samsung Galaxy S24 Ultra", "soc": "Snapdragon 8 Gen 3 for Galaxy", "ram": "12GB", "storage": "256GB / 512GB / 1TB", "display_size": "6.8 inches", "battery_capacity": "5000 mAh", "camera_main": "200MP", "os_version": "Android 14 (One UI 6.1)"
| # | device_name | soc | ram | storage | display_size | display_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Deals & Offers objects from androidauthority.com. All fields typed and schema-versioned.
"product_name": "Sony WH-1000XM5", "original_price": 398.0, "deal_price": 298.0, "discount_pct": 25, "store_name": "Amazon", "affiliate_url": "https://www.androidauthority.com/out/...", "post_date": "2024-09-15T09:30:00Z", "expired_flag": false
| # | post_title | product_name | original_price | deal_price | discount_pct | store_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Author Profiles objects from androidauthority.com. All fields typed and schema-versioned.
"author_name": "Mishaal Rahman", "role": "Contributor", "twitter_handle": "@MishaalRahman", "article_count": 342, "first_publish_date": "2020-01-15", "latest_publish_date": "2024-10-01", "topics_covered": "['Android OS', 'AOSP', 'Google Pixel']"
| # | author_name | role | bio | twitter_handle | article_count | first_publish_date |
|---|---|---|---|---|---|---|
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Our Android Authority scraper targets the underlying data structures: transforming unstructured reviews, spec sheets, and news archives into queryable datasets.
Extract clean text, headings, and embedded media from news posts, stripping out ads, sidebars, and promotional banners.
Parse HTML tables into structured JSON, normalising fields like battery capacity, SoC, and camera megapixel counts across devices.
Capture numerical scores, pros/cons lists, and final verdicts from hardware and software reviews.
Trace and unroll obfuscated affiliate links to identify the true destination URL, store name, and product ID.
Traverse years of paginated archives to build comprehensive datasets of smartphone evolution and tech news.
Render dynamic comment sections to extract user sentiment, timestamps, and upvote counts on controversial posts.
Map articles to specific journalists, tracking publication frequency, topic specialisation, and engagement metrics.
Preserve the site's taxonomy, allowing you to filter datasets by specific manufacturers, operating systems, or device types.
Monitor the RSS feeds and sitemaps to ingest new articles and update previously scraped articles if edits occur.
Brief in. Clean data out.
Provide categories, author URLs, or date ranges. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for androidauthority.com.
Schema validation, null-rate checks, and data normalisation tests before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Tech media sites optimise for ad delivery and reader engagement, resulting in complex DOM structures and heavy JavaScript payloads. Here is how we extract the signal.
Media sites employ strict WAF rules to prevent scraping. We route requests through residential proxies with verified TLS fingerprints to bypass Cloudflare challenges.
Comments, embedded tweets, and high-resolution images load dynamically as the user scrolls. We use Playwright to simulate user behaviour and capture the complete DOM.
Deal posts use intermediate tracking URLs. Our pipeline follows HTTP redirects to capture the final endpoint, allowing you to map deals to specific Amazon ASINs or Best Buy SKUs.
A 2014 review looks structurally different from a 2024 review. We maintain multiple parsing logic branches to ensure historical data fits into modern schemas.
Buyer's guides and 'Best Of' lists are updated frequently. We track modification timestamps and emit delta records when content changes.
Correlate review scores and pros/cons lists across multiple devices to quantify brand perception.
Extract spec sheets to build relational databases of hardware evolution and standardisation.
Monitor which external stores and specific products tech media sites push to their audiences.
Ingest high-quality, domain-specific journalism to fine-tune models on consumer technology.
Track brand mentions, author sentiment, and narrative shifts following major product launches.
Analyse article tags and category volumes over time to identify rising technologies.
"Android Authority holds a decade of structured smartphone evolution data — extracting it requires navigating aggressive caching and dynamic article layouts."
Tech media sites optimise for ad delivery and reader engagement, resulting in complex DOM structures and heavy JavaScript payloads. DataFlirt manages the rendering, proxy rotation, and schema normalisation so your data science teams receive clean, structured device intelligence.
Everything supported by our androidauthority.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. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 androidauthority.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt targets only public articles, reviews, and specifications. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies and full Playwright browser sessions with realistic fingerprints to navigate WAF rules without triggering blocks.
Yes. We can traverse the site's archive to extract specifications for devices released years ago, normalising the data into a consistent schema.
Yes. Our pipeline follows HTTP redirects on deal posts to capture the final destination URL, allowing you to identify the specific retailer and product.
Pipelines can be configured to poll RSS feeds and sitemaps at high frequencies, delivering new articles within minutes of publication.
Yes. We render the dynamic comment sections (often powered by third-party plugins) to extract the text, timestamps, and engagement metrics.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive of device reviews or a daily feed of hardware news — we scope, build, and operate the pipeline. Tell us what you need.
