We extract the complete Gizmodo article corpus, gadget review scores, affiliate link destinations, and nested Kinja comment threads. 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 gizmodo.com. All fields typed and schema-versioned.
"article_id": "185098234", "headline": "Apple Vision Pro Review: A Flawed Glimpse of the Future", "author": "Florence Ion", "publish_date": "2024-02-01T14:00:00Z", "tags": "['apple', 'vr', 'reviews', 'vision pro']", "category": "Reviews", "word_count": 2450
| # | article_id | headline | subheadline | author | publish_date | update_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Gadget Reviews objects from gizmodo.com. All fields typed and schema-versioned.
"product_name": "Vision Pro", "manufacturer": "Apple", "score": 7.5, "pros": "['Incredible displays', 'Eye tracking works well']", "cons": "['Heavy', 'External battery', 'Expensive']", "price_mentioned": 3499.0, "verdict": "An impressive technical achievement that remains a developer kit in disguise."
| # | review_id | article_id | product_name | manufacturer | score | pros |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Kinja Comments objects from gizmodo.com. All fields typed and schema-versioned.
"comment_id": "185098234-C8392", "author_username": "TechGeek99", "comment_text": "I tried it at the Apple store and the weight is definitely an issue.", "timestamp": "2024-02-01T15:22:10Z", "upvotes": 42, "is_staff": false, "replies_count": 3
| # | comment_id | article_id | author_username | author_id | comment_text | timestamp |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Author Profiles objects from gizmodo.com. All fields typed and schema-versioned.
"display_name": "Florence Ion", "role": "Senior Reporter", "twitter_handle": "@OhThatFlo", "article_count": 842, "first_publish_date": "2019-04-12T10:00:00Z", "latest_publish_date": "2024-02-01T14:00:00Z"
| # | author_id | display_name | role | twitter_handle | bio | article_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Deals & Affiliate Links objects from gizmodo.com. All fields typed and schema-versioned.
"product_name": "Samsung 990 PRO 2TB SSD", "merchant": "Amazon", "mentioned_price": 149.99, "discount_pct": 25, "promo_code": "SAVE25", "raw_url": "https://amazon.com/dp/B0BHJJ9Y77"
| # | deal_id | article_id | product_name | mentioned_price | discount_pct | merchant |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Gizmodo relies on the proprietary Kinja platform and aggressive caching layers. Our pipeline navigates G/O Media's infrastructure to extract clean, structured journalism and review data.
Extract headlines, sub-headlines, full body text, category assignments, and publication timestamps across the entire historical archive.
Parse structured review components including numerical scores, pros and cons lists, spec tables, and final verdicts.
Traverse nested comment threads, capturing author IDs, upvotes, timestamps, and staff-reply flags via backend API interception.
Resolve redirect chains to capture final merchant URLs, tracking how Gizmodo monetises product mentions.
Track contributor output, capturing bios, article counts, and publication frequency per author.
Extract semantic tags and category structures to map Gizmodo's internal content classification.
Monitor daily deals posts for mentioned prices, discount percentages, promo codes, and featured merchants.
Capture high-resolution header images, inline image URLs, and embedded video metadata.
Run one-off historical exports or configure continuous pipelines at hourly cadences with change-detection diffing for article updates.
Brief in. Clean data out.
Provide categories, author names, date ranges, or specific tags. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and API interception for gizmodo.com.
Schema validation, null-rate checks, nested comment traversal verification, and sample datasets before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
G/O Media's custom CMS and Fastly edge caching present specific extraction challenges. Here is how we maintain data integrity.
Gizmodo's comments and infinite-scroll feeds rely heavily on client-side rendering. We intercept the underlying Kinja GraphQL and REST API calls to extract clean JSON payloads directly, avoiding brittle DOM parsing for dynamic content.
G/O Media employs strict Fastly caching and WAF rules. Our crawlers distribute request volume across residential ISP proxies, mimicking human reading patterns and respecting edge-cache TTLs to avoid IP bans.
Tech news frequently updates post-publication. We maintain a hash index of article body text and update timestamps, emitting diffs when an article is modified or a correction is appended.
Gizmodo routes outbound product links through Skimlinks and custom redirectors. Our Playwright instances follow the redirect chains to log the actual destination URL and merchant parameters.
Kinja comments are deeply nested. We recursively traverse parent-child comment relationships to construct accurate thread hierarchies in your final dataset.
Consumer electronics brands mine gadget reviews and Kinja comments to measure public reception of new hardware releases.
PR teams track coverage volume, review scores, and author sentiment against competing product launches.
Media strategists analyse destination URLs and promo codes to map G/O Media's affiliate revenue partnerships.
Machine learning teams ingest the historical tech journalism corpus to train domain-specific LLMs and summarisation models.
Analysts track tag frequency and category volume over time to identify emerging consumer tech trends.
Communications agencies map journalist beats, publication frequency, and historical coverage to optimise pitch targeting.
"Gizmodo's archive represents two decades of consumer tech history and sentiment, locked behind a proprietary CMS. We turn that archive into a queryable database."
Extracting data from G/O Media properties requires handling the Kinja platform's heavy client-side rendering and aggressive edge caching. DataFlirt manages the residential proxies, API interception, and nested comment traversal so your data engineering team receives clean, normalised records.
Everything supported by our gizmodo.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 across US/UK regions. 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 gizmodo.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available articles, reviews, and comments is generally permissible under US and UK law. DataFlirt extracts only public, non-authenticated editorial and user-generated content. We do not attempt to bypass authentication for private Kinja accounts. Clients should consult legal counsel for their specific data usage.
Kinja comments load dynamically via JavaScript. We intercept the backend API requests to extract the raw JSON data, which allows us to reconstruct the exact nested thread hierarchy, upvote counts, and author metadata without relying on brittle DOM parsing.
Yes. We can traverse Gizmodo's sitemaps and chronological archives to extract articles dating back to the site's inception, subject to availability on their current servers.
Yes. Gizmodo monetises via affiliate networks. We use headless browsers to follow the redirect chains, capturing the final merchant URL, product ID, and any promo codes attached to the link.
For continuous monitoring pipelines, we poll the main feeds and category pages at high frequency, achieving sub-15-minute latency for new publications and major post-publish updates.
Our minimum engagement typically starts at a full historical extraction of a specific category or a continuous daily feed of all new articles. Contact us with your specific volume requirements for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive of gadget reviews or a continuous feed of tech news and comments — we scope, build, and operate the pipeline. Tell us what you need.
