Autolist Scraper

Autolist Scraper

Scrape Autolist used car listings by make, model, condition, or location, up to a million per run. Every car comes with its price, mileage, year, trim, body style, and dealer details. No login or API key. Export to CSV, JSON, Excel, or XML.

Autolist's public search pages hold thousands of used car listings, but manual copying is slow and error-prone. This Actor reads those listings directly, filtered by make, model, condition, year, price, mileage, body style, trim, and location, and returns each match in one fixed schema.

Who uses it	What they scrape Autolist for
Used car dealers	Monitor competitor pricing and inventory in their local market
Market researchers	Track used car price trends by make, model, and region
Automotive data analysts	Build datasets of vehicle listings for pricing models
Car buying services	Find vehicles that match client criteria and budget
Flippers and private buyers	Spot undervalued cars before they sell

What it does

This Actor collects Autolist used car listings by make, model, condition, or location, and returns each one as a flat row.

• 🚗 Make and model search: Enter a make like Toyota and a model like Camry, or leave blank to search all vehicles.
• 📍 Location filters: Set latitude, longitude, and radius to search within a specific area, or leave blank for national results.
• 🔧 Vehicle filters: Narrow by year range, price range, maximum mileage, body style, and trim level.
• ↕️ Sort order: Sort results by distance, price, mileage, or year, ascending or descending.
• ⚡ Concurrency control: Adjust parallel page requests from 1 to 20 to balance speed and rate limits.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Autolist data

📊 Track used car price trends.

A market researcher runs the Actor weekly for a set of makes and models, exports the CSV, and charts average price by year and region to spot shifts.

🏪 Monitor competitor inventory.

A used car dealer sets a location radius around their lot, filters for the same makes they sell, and gets a daily list of competitor listings with prices and mileage.

🤖 Feed a pricing model.

An automotive data analyst collects thousands of listings with price, mileage, year, and trim, then trains a regression model to estimate fair market value.

🔍 Find undervalued cars.

A private buyer searches for a specific model under a price cap with low mileage, sorts by price ascending, and checks new listings each morning.

Why choose this scraper

	What you get
No API key or login	Scrape public Autolist search pages directly, no registration or OAuth.
One flat row per car	Every listing returns the same fields, ready for CSV, JSON, Excel, or XML.
Up to a million cars per run	Set maxItems as high as 1,000,000 for large-scale collection.
Precise filtering	Combine make, model, condition, year, price, mileage, body style, trim, and location.
Built for automation	Runs on Apify's platform with scheduling, webhooks, and API access.

How it compares

This Actor competes directly with two other Autolist scrapers on Apify, each with a slightly different input approach and field coverage.

Feature	ParseForge	Autolist Scraper - Used Car Listings & Prices	Autolist Scraper
Search by make and model	Yes	Yes	Yes
Search by ZIP code	Not listed	Not listed	Yes
Search by latitude and longitude	Yes	Not listed	Not listed
Filter by condition (used, new, certified)	Yes	Not listed	Not listed
Filter by body style	Yes	Not listed	Not listed
Filter by trim level	Yes	Not listed	Not listed
Sort results by price, mileage, year, or distance	Yes	Not listed	Not listed

Configure the run

Drive the Actor from make, model, condition, and location, alone or together, and filters run as each listing is read so only matches reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
  "make": "Toyota",
  "model": "Camry",
  "condition": "used",
  "maxItems": 10
}

A larger pull:

{
  "make": "Toyota",
  "model": "Camry",
  "condition": "used",
  "maxItems": 200
}

Pricing

Pay-per-result: $0.006 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$0.60
1,000 results	$6.00
10,000 results	$60.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the Autolist Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to Autolist through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/autolist-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check your filters. If you set a make and model that do not exist together, or a price range that is too narrow, Autolist may return nothing. Try broadening the filters or leaving some blank.

Why does the run stop before reaching maxItems?

The Actor stops when there are no more matching listings on Autolist. Your filters may be too restrictive. Loosen them and run again.

Why am I getting rate limited or blocked?

Reduce Max Concurrency to 1 or 2. Also avoid running many instances at the same time. If the problem persists, wait a few hours before retrying.

Why are some fields empty in the output?

Not every Autolist listing includes every field. For example, some sellers may not provide a trim or body style. Empty fields are normal and reflect missing data on the source page.

Can I search by city or state instead of coordinates?

The Actor uses latitude and longitude. You can convert a city or ZIP code to coordinates using a free geocoding service, then enter those values.

FAQ

Question	Answer
Do I need an Autolist account or API key?	No. This Actor reads the public search pages on Autolist.com, so no login, API key, or OAuth is required.
Can I search by ZIP code instead of latitude and longitude?	The input uses latitude and longitude with a radius in miles. You can convert a ZIP code to coordinates using any free geocoding tool, then enter them here.
What condition values are supported?	Used, New, and Certified Pre-Owned. Select one from the dropdown, or leave it blank to search all conditions.
How many cars can I collect in one run?	Up to 1,000,000. Set the Maximum cars field to your desired limit. The Actor stops when it reaches that number or runs out of matching listings.
Can I filter by body style?	Yes. The Body Style field accepts a list of values such as sedan, suv, truck, coupe, convertible, wagon, van, minivan, and hatchback.
Can I filter by trim level?	Yes. The Trim field accepts a list of trim names like LE, XLE, or SE. Leave it blank to include all trims.
What does the sort order control?	It determines the order in which listings are collected. You can sort by distance, price, mileage, or year, each ascending or descending.
What if I get rate limited or blocked?	Lower the Max Concurrency setting to 1 or 2. This reduces parallel requests and makes the Actor gentler on Autolist's servers.
Can I schedule this Actor to run automatically?	Yes. On Apify, you can set a schedule (e.g., daily at 6 AM) and have results delivered to storage, email, or a webhook.
What export formats are supported?	CSV, JSON, Excel, and XML. You can download results from the Apify dataset or use the API to fetch them programmatically.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Autolist, Inc. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.