⚡ Evercars Scraper

Want US electric vehicle inventory from Evercars.com without clicking through pages? This scraper makes it easy.

Use structured filters (make, model, price, mileage, year, body, drivetrain) — structured filters work better for AI agents — or paste an input_url from your browser once you've already filtered on Evercars. When input_url is set it overrides the filters below. Either way, you get clean CSV/JSON with prices, VINs, mileage, locations, and photos.

💡 Perfect for...

• EV Buyers & Dealers: Track Tesla, Rivian, Hyundai, Ford, and more across Evercars showrooms.
• Marketplaces: Monitor competitor EV inventory and pricing.
• Market Research: Analyze USD pricing, mileage, and year mix for used EVs.
• Data Analysts: Export structured Evercars data for dashboards and valuation models.
• 🤖 AI Agents: Power bots and workflows with live Evercars search results.
• 📚 RAG Systems: Feed titles, specs, and prices into retrieval pipelines.
• 🔗 AI Workflows: Plug into LangChain, AutoGPT, CrewAI, and similar stacks.

✨ Why you'll love this scraper

• 🔗 Input URL or Filters: Paste an Evercars /cars?f=... URL (input_url) if you already filtered in the browser, or use structured filters (better for AI agents). input_url always wins when set.
• 🎯 Website-Matched Filters: Make (27 EV brands), model, price, mileage, year, EPA range, body, drivetrain, new arrivals, and sort — same values as on Evercars.
• 🔎 Smart search: Optional natural-language query (e.g. Tesla Model Y) when you skip other filters.
• 🇺🇸 Built for Evercars: Uses the live inventory search API — fast, structured, and up to date.
• ✅ Empty searches finish cleanly with 0 items instead of failing.

📦 What's inside the data?

For every vehicle listing, you will get:

• Core Details: id, url, vin, title, year, make, model, trim
• Pricing: price, price_currency (USD), monthly_payment
• Specs: mileage, mileage_unit (mi), top_features
• Location: city, state, zip_code, address, location, country
• Status / Media: purchase_status, is_listing_new, is_pre_order, image_url, interior_image_url

🛠️ Sort options

Use sort_by with these values:

• (empty) – Site default
• price.asc / price.desc – Price low→high / high→low
• mileage.asc / mileage.desc – Mileage low→high / high→low
• year.desc / year.asc – Year newest / oldest
• createdAt.desc – Newest listed

🚀 Quick start

Option A — Input URL

1. Open Evercars inventory, apply filters in the browser, copy the results URL — e.g. https://www.evercars.com/cars?f=....
2. Paste it into input_url.
3. Set max_listings and click Start.

Option B — Structured filters (better for AI agents)

1. Leave input_url empty.
2. Set optional make/model, price / mileage / year / body / drivetrain / sort.
3. Or set a smart query alone (e.g. Rivian R1T).
4. Set max_listings (up to 2000) and click Start.

Export CSV, Excel, or JSON when done.

📥 Inputs

Field	Description
input_url	Optional Evercars /cars URL (overrides filters)
query	Smart search text when filters are empty
make / model	Brand and model as on Evercars
price_min / price_max	USD price filters
mileage_min / mileage_max	Odometer filters (miles)
year_min / year_max	Model year range
epa_range_min	Minimum EPA range (miles)
body	SUV, Sedan, Hatchback, or Truck
drivetrain	AWD, RWD, or FWD
new_arrivals_only	Only new-arrival listings
sort_by	Result order
max_listings	Cap results (1–2000, default 50)

Example (filters):

{
  "make": "Tesla",
  "model": "Model Y",
  "price_max": 40000,
  "sort_by": "price.asc",
  "max_listings": 50
}

Example (smart query):

{
  "query": "Rivian R1T",
  "max_listings": 25
}

Example (URL override):

{
  "input_url": "https://www.evercars.com/cars?f=%7B%22f%22%3A%7B%22mk%22%3A%5B%22Tesla%22%5D%7D%7D",
  "max_listings": 50
}

📤 Output example

{
  "id": "5251",
  "url": "https://www.evercars.com/cars/5251",
  "vin": "7SAYGDEFXNF486931",
  "title": "2022 Tesla Model Y Performance",
  "year": 2022,
  "make": "Tesla",
  "model": "Model Y",
  "trim": "Performance",
  "price": 26899,
  "price_currency": "USD",
  "mileage": 97772,
  "mileage_unit": "mi",
  "city": "Costa Mesa",
  "state": "CA",
  "location": "Costa Mesa, CA",
  "country": "US",
  "purchase_status": "AVAILABLE",
  "image_url": "https://..."
}