SYSTEM all green source norauto.fr queue 12,841 pages p99 latency 215ms dataflirt.com · scraper/norauto-fr
RUN · 18 active pipelines · norauto.fr live

Norauto data,
at warehouse scale.

We extract tyre catalogues, OEM part compatibility, store-specific pricing, and maintenance service availability from Norauto. Delivered as clean JSON, CSV, or Parquet.

Parts extracted
312K /run
Price updates
1.4M /day
Tyre specs
45K /run
Active pipelines
18
Uptime
99.94%
Data Dictionary

Every field we extract from norauto.fr

Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.

Complete list of extractable fields for Tyres objects from norauto.fr. All fields typed and schema-versioned.

skubrandmodelwidthprofilediameterload_indexspeed_indexseasonpricestock_statusrunflatfuel_efficiencywet_gripnoise_level
tyres
● 200 OK
"sku": "2289412",
"brand": "Michelin",
"model": "CrossClimate 2",
"width": 205,
"profile": 55,
"diameter": 16,
"price": 115.9,
"season": "All-Season"
# skubrandmodelwidthprofilediameter
1
2
3

Complete list of extractable fields for Car Parts objects from norauto.fr. All fields typed and schema-versioned.

part_idcategorysub_categorybrandproduct_nameoem_referencescompatible_vehiclespricediscount_pricestock_webstock_storewarranty_months
car_parts
● 200 OK
"part_id": "893412",
"category": "Braking",
"brand": "Brembo",
"product_name": "Brake Pads Front",
"price": 45.5,
"stock_web": true,
"oem_references": "['1J0698151D']"
# part_idcategorysub_categorybrandproduct_nameoem_references
1
2
3

Complete list of extractable fields for Store Pricing objects from norauto.fr. All fields typed and schema-versioned.

store_idstore_namepostal_codecityproduct_idlocal_priceavailable_stockclick_and_collect_timefitting_availablefitting_pricenext_fitting_slot
store_pricing
● 200 OK
"store_id": "0451",
"store_name": "Norauto Lille Vascq",
"postal_code": "59650",
"product_id": "2289412",
"local_price": 115.9,
"available_stock": 12,
"click_and_collect_time": "2h"
# store_idstore_namepostal_codecityproduct_idlocal_price
1
2
3

Complete list of extractable fields for Workshop Services objects from norauto.fr. All fields typed and schema-versioned.

service_idcategoryservice_namedescriptionbase_pricevehicle_typeduration_minutesincludes_partswarrantyonline_bookingstore_id
workshop_services
● 200 OK
"service_id": "SRV-102",
"service_name": "Vidange Huile Moteur 5W30",
"base_price": 79.0,
"duration_minutes": 60,
"includes_parts": true,
"online_booking": true,
"vehicle_type": "Passenger Car"
# service_idcategoryservice_namedescriptionbase_pricevehicle_type
1
2
3

Complete list of extractable fields for Reviews objects from norauto.fr. All fields typed and schema-versioned.

review_idproduct_idauthorratingdate_postedverified_purchasetitlecontenthelpful_votesstore_purchased
reviews
● 200 OK
"review_id": "REV-9921",
"product_id": "2289412",
"rating": 4.5,
"verified_purchase": true,
"date_posted": "2024-01-15",
"content": "Excellent grip in wet conditions."
# review_idproduct_idauthorratingdate_postedverified_purchase
1
2
3

Capabilities

Automotive catalogue data without the friction

Our Norauto scraper navigates vehicle selection modals, geolocated store pricing, and dynamic parts compatibility matrices using advanced session management.

Tyre Specification Extraction

Extract dimensions, speed indexes, load ratings, and EU label metrics across all tyre categories.

OEM Cross-Reference Mapping

Map aftermarket parts to original equipment manufacturer codes and compatible vehicle models.

Geolocated Store Pricing

Capture price variances and stock depth across specific Norauto centres in France.

Workshop Service Data

Extract maintenance service prices, fitting costs, and next available booking slots by location.

Vehicle Modal Simulation

Bypass licence plate and vehicle selection walls to access restricted compatibility catalogues.

Review Aggregation

Collect customer ratings, verified purchase flags, and detailed feedback texts for sentiment analysis.

Promotions & Discounts

Track flash sales, bundle offers, and seasonal discounts on parts and services.

Click & Collect Stock

Monitor real-time inventory levels and collection timeframes for local store fulfilment.

E-Mobility Catalogues

Extract specifications and pricing for electric bikes, scooters, and related accessories.

// engagement pipeline

From vehicle selection to warehouse delivery

Brief in. Clean data out.

Define Scope
d 0

Provide categories, specific store locations, or target brands. We design the extraction schema together.

Pipeline Build
d 2–4

We configure Scrapy and Playwright crawlers, proxy rotation, and session management for vehicle selection.

Validation & QA
d 4–6

Schema validation, price-outlier detection, and stock status verification before full launch.

Delivery
ongoing

JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.

Under the hood

Overcoming automotive scraping barriers

Retailers use session state and vehicle lookups to block crawlers. We handle the complexity.

pipeline-monitor · norauto.fr · live ● active
// fingerprinting
Identity rotation
TLS fingerprintrandomised
User-agentrotated
IP poolresidential
Challenges blocked0
// pagination
Page coverage
48,291 pages queued running
// observability
Pipeline health
99.9%
uptime
142ms
p99 lat
0.3%
null rate
2
alerts
Session State
Managing geolocated store cookies

Norauto pricing changes based on the selected store. We manage persistent cookie sessions to accurately extract local prices and Click & Collect availability without triggering bot defences.

Vehicle Walls
Navigating compatibility modals

Accessing specific parts requires selecting a vehicle make, model, and engine. Our Playwright scripts simulate these user flows to unlock the underlying product grids.

Anti-bot Layer
Handling pagination blocks

Deep catalogue pagination often triggers challenge pages. We use French residential proxies and realistic request timing to maintain continuous access.

Dynamic DOM
Hydrating JavaScript elements

Stock status and next available fitting slots are loaded dynamically via API calls. We intercept these network requests to capture data directly from the JSON payloads.

Change Detection
Incremental stock updates

We maintain a hash index of previous runs, emitting only changed records for prices and stock levels to optimise your downstream processing.

Applications

Who uses Norauto data

Teams across industries use norauto.fr data to build competitive products and smarter operations.

01
Competitor Price Monitoring

Automotive retailers track tyre and part prices across regions to optimise their own pricing strategies.

02
Market Share Analysis

Brands monitor their product visibility and stock representation against competitors within the Norauto network.

03
Inventory Planning

Supply chain analysts track regional stock depth to anticipate demand shifts for seasonal products like winter tyres.

04
OEM Compatibility Mapping

Data teams build comprehensive cross-reference databases linking aftermarket parts to specific vehicle models.

05
Service Intelligence

Independent workshops monitor maintenance service rates and fitting costs to remain competitive locally.

06
E-Mobility Research

Market analysts track the expanding assortment and pricing of electric bikes and scooters in traditional automotive retail.

Why DataFlirt

"Norauto.fr holds the definitive dataset for French automotive aftermarket pricing and OEM compatibility: extracting it requires navigating complex vehicle-selection state machines."

Scraping automotive retailers requires more than simple HTML parsing. It demands managing geolocated session cookies, simulating vehicle registration lookups, and rendering dynamic workshop availability widgets. DataFlirt abstracts this complexity, delivering clean, structured part and pricing data directly to your warehouse.

Technical Spec

Norauto scraper technical specifications

Everything supported by our norauto.fr scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.

JavaScript rendering
Playwright sessions required for dynamic stock and workshop slots
Supported
Store-level geolocation
Cookie management for local pricing and Click & Collect status
Supported
Vehicle selection simulation
Automated navigation of make/model/engine dropdowns
Supported
EU Tyre Label extraction
Capture of fuel efficiency, wet grip, and noise ratings
Supported
Cross-reference mapping
Extraction of OEM numbers and compatible vehicle lists
Supported
CAPTCHA bypass
Automated solver integration for challenge pages
Supported
Change detection
Hash-based diffs emitting only changed fields since last run
Supported
Customer purchase history
Requires authenticated access to user accounts
Partial
Live workshop diagnostic reports
Internal system data not exposed to public web interfaces
Partial
Infrastructure

Infrastructure powering the pipeline

Open-source tooling on proven cloud infra — no vendor lock-in, full observability.

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential ProxiesDockerKubernetesGrafanaPrometheus
Scrapy + Playwright Stack

Scrapy manages crawl orchestration while Playwright handles JavaScript rendering and complex interaction flows like vehicle selection modals.

Geolocated Proxy Infrastructure

We maintain pools of French residential ISP proxies to ensure accurate localized pricing and bypass regional blocking mechanisms.

Cloud-Native Orchestration

Pipelines run on scalable AWS infrastructure, orchestrated by Airflow for reliable scheduling and dependency management.

Output & Delivery

Your data, your destination

Data delivered to where your team already works — no new tooling required.

JSON
Newline-delimited or nested structures
CSV
Flat files with typed columns
XLS
Excel compatible exports for analyst teams
Parquet
Columnar format optimized for data warehouses
AWS S3
Direct delivery to your cloud storage buckets
Webhook
HTTP POST for real-time record processing
API
REST endpoints to query your extracted datasets
BigQuery
Streamed directly into your GCP environment
PostgreSQL
Direct database inserts with conflict resolution
Snowflake
Stage and COPY INTO workflows
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

About norauto.fr scraping, legality, and pipeline operations.

Ask us directly →
Is scraping Norauto data legal?

Scraping publicly available pricing and catalogue data is generally permissible for business intelligence purposes. We do not extract personal user data or bypass authenticated login walls. Clients must ensure their specific use cases comply with relevant EU regulations.

How do you handle the vehicle selection modal?

Our Playwright integration simulates the exact user flow required to select a vehicle make, model, and engine type, allowing us to access the specific parts catalogues hidden behind these interactive elements.

Can you extract prices for specific store locations?

Yes. We manage geolocated session cookies to simulate a user selecting a specific Norauto centre, enabling the extraction of accurate local pricing and stock availability.

How frequently can you update tyre prices?

We configure pipelines based on your requirements. Daily updates are standard for large catalogues, but high-priority SKUs can be tracked at higher frequencies.

Do you extract EU Tyre Label information?

Yes. We capture all technical specifications provided on the product page, including fuel efficiency, wet grip ratings, and external rolling noise values.

What is the minimum viable engagement?

We typically begin with defined category extracts, such as the complete tyre catalogue or specific spare parts categories. Contact us to scope your specific data requirements.

$ dataflirt scope --new-project --source=norauto.fr ready

Tell us what
to extract.
We do the rest.

20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full catalogue extract of tyres or continuous store-level price monitoring, we scope, build, and operate the pipeline. Tell us what you need.

hello@dataflirt.com · Bengaluru · IST · typical reply < 4h
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