We extract vehicle specifications, performance metrics, expert reviews, and automotive news from Topspeed. 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 Vehicle Specifications objects from topspeed.com. All fields typed and schema-versioned.
"make": "Porsche", "model": "911 GT3 RS", "year": 2024, "engine_type": "4.0L Naturally Aspirated Flat-6", "horsepower": 518, "torque": 342, "msrp": 241300.0, "drivetrain": "RWD"
| # | make | model | year | trim | engine_type | displacement |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Performance Metrics objects from topspeed.com. All fields typed and schema-versioned.
"top_speed_mph": 184, "zero_to_sixty": 3.0, "quarter_mile_time": 10.9, "lateral_g": 1.16, "nurburgring_time": "6:49.328", "drag_coefficient": 0.39
| # | model_id | top_speed_mph | zero_to_sixty | quarter_mile_time | quarter_mile_speed | braking_distance |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Editorial Reviews objects from topspeed.com. All fields typed and schema-versioned.
"article_id": "ts-rev-89421", "title": "2024 Porsche 911 GT3 RS Review: Track Weapon", "author": "Chris Perkins", "publish_date": "2024-02-14", "rating_score": 9.5, "category": "Car Reviews", "pros_list": "['Unmatched downforce', 'Telepathic steering', 'Screaming flat-six']"
| # | article_id | title | author | publish_date | rating_score | pros_list |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for EV & Hybrid Stats objects from topspeed.com. All fields typed and schema-versioned.
"battery_capacity_kwh": 84.0, "electric_range_miles": 315, "max_charging_speed_kw": 350, "charge_time_10_80": 18, "architecture_volts": 800, "motor_configuration": "Dual Motor AWD"
| # | vehicle_id | battery_capacity_kwh | electric_range_miles | max_charging_speed_kw | charge_time_10_80 | mpge_combined |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for News & Spy Shots objects from topspeed.com. All fields typed and schema-versioned.
"headline": "Spied: 2026 BMW M5 Touring Testing at the Nurburgring", "brand_mentions": "['BMW', 'M5', 'Touring']", "date_posted": "2024-05-11T14:30:00Z", "comments_count": 142, "scraped_at": "2024-05-12T08:15:22Z", "source_url": "https://www.topspeed.com/cars/car-news/spied-2026-bmw-m5-touring/"
| # | headline | summary | brand_mentions | date_posted | image_urls | video_links |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Topspeed scraper parses deeply nested vehicle specification tables, infinite scrolling news feeds, and high-resolution image galleries, delivering normalised automotive data directly to your warehouse.
Parse complex, multi-column specification tables to extract engine types, displacement, horsepower, and torque for every available vehicle trim.
Extract and standardise 0-60 times, top speeds, quarter-mile runs, and Nurburgring lap times across legacy and modern article formats.
Trigger lazy-loaded image galleries to extract full-resolution source URLs for spy shots, press photos, and review galleries.
Extract full article bodies, pros and cons lists, verdict summaries, and rating scores from expert vehicle reviews.
Capture specific electric vehicle metrics including battery capacity, charging speeds, MPGe, and real-world range test results.
Monitor news feeds for specific brand or model mentions to track upcoming vehicle launches and development cycles.
Track publication frequency, category focus, and article engagement metrics for individual automotive journalists.
Crawl decades of archived automotive content, mapping legacy URL structures to modern data schemas.
Configure pipelines to run daily or hourly, extracting only newly published articles and updated vehicle specifications.
Brief in. Clean data out.
Specify target categories, makes, models, or historical date ranges. We map the extraction schema to your requirements.
We deploy Scrapy and Playwright crawlers, configuring proxy rotation and JavaScript execution to handle Topspeed's dynamic content.
We run schema validation, check for null rates in legacy spec tables, and normalise performance metrics before production.
Clean JSON, CSV, or Parquet files delivered to your S3 bucket, BigQuery dataset, or via Webhook on your defined schedule.
Extracting structured data from a media site with decades of history requires handling inconsistent templates, dynamic loading, and bot mitigation.
Topspeed relies heavily on infinite scroll for category pages and news feeds. Our Playwright integration simulates human scrolling behaviour, intercepting backend API calls to extract article metadata without rendering the entire DOM.
Automotive galleries defer image loading until user interaction. We programmatically trigger gallery state changes to expose and extract the high-resolution source URLs rather than compressed thumbnails.
Articles published in 2010 use entirely different HTML structures than those published today. Our selector strategy employs multiple fallback chains to ensure spec tables and review scores are captured regardless of the template era.
Vehicle specification tables often feature merged cells, hidden rows, and dynamic unit toggles (metric vs imperial). We parse these tables structurally, normalising units and mapping nested trim variations to flat database records.
High-volume scraping triggers rate limits and CAPTCHAs. We route requests through residential ISP proxies with realistic browser fingerprints, ensuring uninterrupted extraction of the vehicle catalogue.
Analysts track historical performance trends, engine downsizing shifts, and EV adoption rates across different vehicle segments.
OEMs monitor competitor MSRP changes, trim structures, and standard equipment lists to position new vehicle launches.
Automotive portals enrich their vehicle databases with third-party performance metrics, 0-60 times, and expert review summaries.
Machine learning teams use structured automotive journalism and specification data to train domain-specific conversational models.
Researchers compile longitudinal data on battery capacities, charging speeds, and range improvements over time.
Auto groups append detailed performance specs and professional review quotes to their online inventory listings to increase conversion.
"Topspeed holds decades of performance benchmarks and editorial reviews, but normalising unstructured automotive journalism into queryable databases requires dedicated infrastructure."
Scraping automotive publications involves navigating legacy article templates, infinite scrolling feeds, and heavily nested spec tables. DataFlirt handles the proxy rotation, lazy-load triggering, and schema normalisation so your engineering team receives clean, structured JSON ready for analysis.
Everything supported by our topspeed.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 and deduplication. Playwright handles JavaScript rendering, infinite scroll events, and interactive gallery triggers.
We maintain pools of residential ISP proxies to bypass rate limiting and bot detection, ensuring consistent access to the article catalogue.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling for daily news updates, with all state and metadata stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About topspeed.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We deploy multiple fallback selectors to handle structural differences between modern articles and legacy content published decades ago, ensuring consistent schema delivery.
Our Playwright integration simulates user scrolling to trigger subsequent API calls, capturing all articles within a category without missing items due to lazy loading.
We extract the direct source URLs for high-resolution images within galleries, bypassing the compressed thumbnails displayed on the initial page load.
Yes. We configure pipelines to run at hourly or daily intervals, extracting only newly published articles and appending them to your dataset.
Yes. We parse unstructured text and dynamic tables to extract and standardise performance metrics, delivering clean numerical values for analysis.
We can extract comment counts and text from integrated commenting systems like Disqus, providing sentiment data alongside the editorial content.
A full historical extraction of Topspeed's catalogue typically completes within 48 to 72 hours, depending on the requested depth and media asset volume.
Yes. We can configure keyword and tag monitoring to aggregate all news, spy shots, and reviews related to a specific make or model as they are published.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full historical archive of vehicle specifications or a daily feed of automotive news, we build and manage the extraction infrastructure. Tell us your requirements.
