We extract Pricewatch data, component specifications, second-hand listings, and shop reviews from Tweakers. 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 Pricewatch Products objects from tweakers.net. All fields typed and schema-versioned.
"product_id": "1845112", "ean": "871234567890", "title": "Apple iPhone 15 Pro 128GB Zwart", "lowest_price": 1049.0, "shop_count": 42, "review_score": 4.5, "release_date": "2023-09-12"
| # | product_id | ean | title | category | sub_category | lowest_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Shop Prices objects from tweakers.net. All fields typed and schema-versioned.
"product_id": "1845112", "shop_name": "Coolblue", "price": 1049.0, "shipping_cost": 0.0, "total_price": 1049.0, "delivery_time": "Morgen in huis", "stock_status": "Op voorraad", "scraped_at": "2026-05-12T09:14:00Z"
| # | product_id | shop_id | shop_name | price | shipping_cost | total_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hardware Specs objects from tweakers.net. All fields typed and schema-versioned.
"product_id": "1845112", "spec_group": "Scherm", "spec_name": "Schermdiagonaal", "spec_value": "6.1", "unit": "inch", "is_highlighted": true
| # | product_id | spec_group | spec_name | spec_value | unit | is_highlighted |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Vraag & Aanbod objects from tweakers.net. All fields typed and schema-versioned.
"listing_id": "v-239481", "seller_username": "TechEnthusiast99", "asking_price": 850.0, "condition": "Zo goed als nieuw", "is_reserved": false, "post_date": "2026-05-11T14:30:00Z"
| # | listing_id | product_id | title | seller_username | seller_rating | asking_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Shop Reviews objects from tweakers.net. All fields typed and schema-versioned.
"review_id": "sr-94821", "shop_name": "Megekko", "rating_overall": 5, "rating_shipping": 5, "rating_aftersales": 4, "helpful_votes": 12, "review_date": "2026-05-10"
| # | review_id | shop_id | shop_name | reviewer_username | rating_overall | rating_shipping |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Tweakers scraper handles complex nested specification tables, strict EU cookie consent walls, and highly paginated shop reviews. We normalise Dutch hardware taxonomies into clean data structures.
Capture the complete matrix of shops, prices, shipping costs, and delivery estimates for any product category on Tweakers Pricewatch.
Extract and normalise thousands of hardware specifications from nested tables, converting Dutch units into standard numeric formats.
Track the second-hand hardware market. Extract asking prices, seller reputation, and condition metrics from user listings.
Aggregate shop reviews, extracting granular ratings for shipping, aftersales, and overall satisfaction to monitor retailer performance.
Extract user and expert reviews, including pros, cons, star ratings, and full text for sentiment analysis.
Monitor product popularity and rank movements across all Tweakers categories, identifying trending hardware.
Parse threaded discussions, user sentiment, and troubleshooting guides from the Tweakers forum.
Bypass strict EU cookie walls and GDPR consent popups automatically using Playwright session management.
Run continuous pipelines and receive only the records that have changed, minimising storage and processing overhead.
Brief in. Clean data out.
Provide Tweakers categories, specific product URLs, or search terms. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and cookie handling for tweakers.net.
Schema validation, null-rate checks, price-outlier detection, and specification normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Tweakers employs strict rate limiting and complex DOM structures for its specification tables. Here is how we ensure reliable data delivery.
Tweakers blocks access with a strict cookie consent wall. Our Playwright middleware intercepts and accepts consent payloads at the network level, ensuring crawlers receive the actual page DOM rather than a generic redirect.
High-frequency requests to Pricewatch trigger aggressive IP bans. We distribute requests across a pool of Dutch residential ISP proxies, maintaining realistic request headers and pacing to blend with normal user traffic.
Hardware specifications on Tweakers are deeply nested in complex HTML tables with merged cells and Dutch terminology. We map these tables to a flat, normalised schema, extracting numeric values and units into separate queryable fields.
Shop prices and stock statuses often rely on client-side JavaScript hydration. We execute full browser sessions to ensure all asynchronous pricing data is fully loaded before extraction.
Extracting the entire Pricewatch database daily is inefficient. We maintain a hash index of last-seen prices and only emit records when a shop updates its price, shipping cost, or stock status.
Benelux electronics retailers track competitor pricing and shipping costs on Pricewatch to adjust their own margins dynamically.
Refurbishers monitor Vraag & Aanbod to determine residual value curves for smartphones and laptops over time.
Retailers aggregate their own and competitor shop reviews to identify operational bottlenecks in shipping and aftersales.
Manufacturers analyse user reviews and forum sentiment to understand consumer reactions to new component releases.
Retailers extract normalised hardware specifications to populate their own product detail pages with accurate technical data.
Analysts track product review counts and forum activity as a proxy for hardware market share in the Dutch market.
"Tweakers.net holds the most accurate hardware specification and pricing matrix in the Benelux region, but extracting it requires navigating aggressive rate limits and complex nested tables."
Building a reliable Tweakers extraction pipeline requires handling strict EU cookie consent walls, normalising Dutch hardware taxonomies, and parsing highly nested specification matrices. DataFlirt manages the infrastructure, proxy rotation, and schema mapping so your team receives clean, queryable data on a defined schedule.
Everything supported by our tweakers.net 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 specifically in the Netherlands. Rotation happens per-request with sticky sessions where required to navigate Tweakers rate limits.
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 tweakers.net scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Tweakers is generally permissible. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data, circumvent authentication walls, or violate GDPR. Clients should review Tweakers ToS and consult legal counsel for specific use cases.
We use Playwright browser sessions with custom middleware that intercepts the consent prompt and injects the required acceptance payload at the network level, ensuring the crawler receives the actual page content reliably.
Yes. Our extraction schema separates numeric values from Dutch units (e.g., extracting '6.1' and 'inch' into separate fields) and maps Dutch terminology to standard English keys if required by your pipeline.
For targeted ASIN/EAN lists, we can run hourly pipelines. Full category refreshes typically run on a daily cadence, completing within a 4-hour window depending on the total product volume.
Yes. We extract second-hand listings including asking price, seller reputation, view counts, and item condition. This is heavily used by refurbishers for residual value analysis.
Our smallest packages start at a defined category or product list with daily delivery. For full-site extraction or custom schema requirements, we price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily Pricewatch dump or a continuous feed of Vraag & Aanbod listings, we scope, build, and operate the pipeline. Tell us what you need.
