We extract gadget reviews, star ratings, pros and cons, Top 10 rankings, and tech news from Stuff.tv. 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 Gadget Reviews objects from stuff.tv. All fields typed and schema-versioned.
"url": "https://www.stuff.tv/review/sony-wh-1000xm5-review/", "title": "Sony WH-1000XM5 review", "brand": "Sony", "product_name": "WH-1000XM5", "star_rating": 5, "verdict": "The best noise-cancelling headphones get even better.", "published_date": "2023-05-12T10:00:00Z"
| # | url | title | brand | product_name | star_rating | author |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Top 10 Lists objects from stuff.tv. All fields typed and schema-versioned.
"list_url": "https://www.stuff.tv/top-10/smartphones/", "category": "Smartphones", "last_updated": "2023-11-01T08:30:00Z", "rank_1_product": "Apple iPhone 15 Pro Max", "rank_1_rating": 5, "total_items": 10
| # | list_url | category | last_updated | rank_1_product | rank_1_rating | rank_1_summary |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Tech News objects from stuff.tv. All fields typed and schema-versioned.
"article_url": "https://www.stuff.tv/news/new-ipad-pro-announced/", "headline": "Apple announces new iPad Pro with M4 chip", "category": "Tablets", "author": "Dan Grabham", "published_date": "2024-05-07T14:00:00Z", "tags": "['Apple', 'iPad', 'M4']"
| # | article_url | headline | subheadline | category | tags | author |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Product Specifications objects from stuff.tv. All fields typed and schema-versioned.
"product_name": "Samsung Galaxy S24 Ultra", "screen_size": "6.8 inches", "processor": "Snapdragon 8 Gen 3", "ram": "12GB", "battery_life": "5000mAh", "weight": "232g"
| # | product_name | screen_size | resolution | processor | ram | storage |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Buying Guides objects from stuff.tv. All fields typed and schema-versioned.
"guide_url": "https://www.stuff.tv/features/best-running-watches/", "title": "Best running watches 2024", "category": "Wearables", "recommended_products": "['Garmin Forerunner 965', 'Apple Watch Ultra 2']", "author": "Kieran Alger", "published_date": "2024-01-15T09:00:00Z"
| # | guide_url | title | category | target_audience | recommended_products | price_ranges |
|---|---|---|---|---|---|---|
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Our Stuff.tv scraper translates unstructured magazine layouts into clean, queryable data. We handle pagination, infinite scroll, and CMS variations to deliver reliable gadget datasets.
Capture star ratings, definitive verdicts, pros and cons lists, and full review body text for every gadget.
Monitor changes in Stuff.tv category rankings. Track when products enter or fall out of the Top 10 lists.
Extract daily tech news, product announcements, and rumour coverage with full tagging and categorisation.
Track which journalists cover specific brands and product categories to optimise PR outreach.
Extract structured hardware specifications from review tables and inline text descriptions.
Capture launch prices and recommended retail prices explicitly mentioned in the review text.
Download high-resolution product photography and editorial images associated with reviews.
Map every product to Stuff.tv nested categories, from Audio and Wearables to Computing and Gaming.
Configure daily or weekly pipeline runs to capture newly published reviews and updated buying guides.
Brief in. Clean data out.
Provide target categories, review types, or Top 10 lists. We design the extraction schema to match your requirements.
We configure Scrapy and Playwright crawlers, proxy rotation, and text parsing logic for Stuff.tv layouts.
Schema validation, null-rate checks, and sample review parsing before full production launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on an agreed cadence.
Scraping media sites involves navigating inconsistent CMS templates and unstructured text. Here is how we maintain data quality.
Category pages often rely on infinite scroll or JavaScript-based pagination. We use Playwright to trigger load events and capture the complete article index.
When hardware specifications are missing from tables, our parsers extract key metrics like battery life and weight directly from the review body using regex and NLP patterns.
High-volume crawls trigger rate limits. We distribute requests across residential IPs with realistic browser fingerprints and randomised timing.
Media sites frequently update article templates. We use fallback selector chains across CSS, XPath, and JSON-LD metadata to ensure extraction survives layout updates.
We maintain a hash index of published articles. Subsequent runs only scrape newly added reviews or updated Top 10 lists, reducing compute overhead.
Consumer electronics brands track qualitative feedback, star ratings, and pros/cons across their product catalogue.
Product managers compare their hardware review scores and verdicts against rival devices in the same category.
Agencies track coverage volume, journalist assignments, and publication timing for client product launches.
Analysts monitor Top 10 lists and Buying Guides to identify emerging tech trends and category leaders.
Affiliate networks track which products are heavily promoted in editorial content to optimise their own campaigns.
Machine learning teams use structured review text and verdicts to train domain-specific sentiment analysis models.
"Stuff.tv holds decades of qualitative gadget analysis and structured rankings. Essential for consumer electronics sentiment tracking."
Scraping editorial sites requires parsing unstructured text into clean schemas. DataFlirt handles the DOM traversal, pagination, and proxy rotation so your analysts focus on product sentiment, not broken CSS selectors.
Everything supported by our stuff.tv 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 deduplication. Playwright handles JavaScript rendering and infinite scroll events. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across UK and US regions. Rotation happens per request to prevent IP bans during full archive crawls.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About stuff.tv scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available editorial content is generally permissible under applicable law. DataFlirt targets only public reviews, news, and guides. We do not bypass authentication for premium digital magazine subscriptions. Clients should review Terms of Service and consult legal counsel for specific commercial use cases.
We use a combination of strict XPath selectors for structured elements like star ratings and verdicts, alongside regex and NLP patterns to extract specifications and pricing buried in standard paragraph text.
Yes. We maintain historical snapshots of ranking pages. By running the pipeline on a scheduled cadence, we capture entry, exit, and rank movement data for every product in a Top 10 category.
Yes. We parse the image gallery components and deliver direct URLs to the highest resolution assets hosted on the content delivery network.
Pipelines can be configured to run at hourly intervals to capture breaking tech news and product announcements shortly after publication.
Absolutely. You can restrict the pipeline scope to specific taxonomy branches, such as Audio, Smartphones, or Wearables, to reduce data volume and focus on relevant verticals.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full historical archive of gadget reviews or a daily feed of tech news, we scope, build, and operate the pipeline. Tell us what you need.
