2026-08-28AutoZone APITecDoc AlternativecURLParts Fitment

Building an AutoZone & TecDoc Replacement Parts Matcher with cURL

Discover how to cross-reference OEM parts against aftermarket replacement catalogs using PlotAPI's automotive fitment API.

Building an AutoZone & TecDoc Replacement Parts Matcher with cURL

If you are a developer, software team, or PropTech/AutoTech founder building automated data pipelines, you need reliable, structured access to real-time data.

Traditional web scraping approaches quickly break down due to rate limits, anti-bot defenses, and fragile layout selectors.

The Pain with Traditional Data Extraction

When building custom scrapers, engineering teams inevitably face:

  1. TecDoc: TecDoc database licenses starting at €5,000+ per quarter.
  2. Complex: Complex K-Type and N-Type relational trees that are hard to integrate into modern web apps.
  3. Unreliable: Unreliable aftermarket parts catalogs that fail to map cross-engine compatibility.

Many developers attempt to patch this by purchasing unmaintained scripts from generic marketplaces, only to find them crashing whenever target portals deploy updates.

The Modern Solution: PlotAPI

Instead of managing rotating residential proxy pools, solving CAPTCHAs, and maintaining fragile DOM parsers, modern data teams use PlotAPI.

PlotAPI cross-references OEM vehicle specifications against major aftermarket replacement part numbers, returning guaranteed fitment status and part dimensions in structured JSON.

Complete Integration Example

Here is a production-ready example demonstrating how to extract this data with zero scraping overhead:

# Query guaranteed fitment brake pads for a 2018 BMW 330i
curl -X GET "https://api.plotapi.co/v1/auto/parts/fitment" \
     -H "Authorization: Bearer YOUR_API_KEY" \
     -G \
     -d "make=BMW" \
     -d "model=330i" \
     -d "year=2018" \
     -d "category=brake_pads"

Key Architecture Benefits

  • Predictable Latency: Sub-300ms global response times across all endpoints.
  • Strictly Typed JSON: Guaranteed schemas with no raw HTML tags or missing fields.
  • Enterprise Uptime: 99.9% availability backed by automated schema drift detection.
  • AI & MCP Ready: Direct support for Cursor, Claude Desktop, and LangChain agents.

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Interactive Framework Workbench

Every object type, read or write, fully typed.

Access clean, structured residential listings, historical property valuations, and local specifications pulled instantly from Zillow's core map cluster systems.

GET /v1/us/properties/search
curl -X GET "https://plotapi.co/api/v1/us/properties/search?zip=90210" \ -H "Authorization: Bearer plot_live_8f3d2a"
200 OK — Normalized Payload
{ "status": "success", "engine": "zillow_residential", "query": { "zip": "90210" }, "results_count": 2, "data": [ { "id": "zl-2079089249", "title": "For Sale", "price_raw": 1250000, "price_formatted": "$1,250,000", "currency": "USD", "source_origin": "zillow", "property_type": "SingleFamily", "specifications": { "bedrooms": 4, "bathrooms": 3, "square_feet": 2800 }, "location": { "postal_code": "90210", "display_address": "123 Main St, Beverly Hills, CA 90210", "latitude": 34.0736, "longitude": -118.4004 }, "images": [ "https://photos.zillowstatic.com/fp/test-image-1.jpg" ], "agent_details": { "name": "Luxury Realty", "logo_url": null } } ] }

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