AuctionTime Scraper

Scrapes publicly available AuctionTime equipment auction listings into structured records for machinery, farm equipment, construction equipment, trucks, trailers, and attachments.

Use public AuctionTime search/category/upcoming-auction URLs or a public auction-result listing URL. The actor uses a bounded browser session, optional Apify Residential Proxy, deduplicates by listing URL, validates records before writing, and reports Cloudflare/anti-bot blocks honestly. It does not log in, bid, access watchlists, or perform account actions.

Input

{
  "startUrls": [{ "url": "https://www.auctiontime.com/listings/upcoming-auctions/tractors/1100" }],
  "maxResults": 25,
  "maxRequestRetries": 2,
  "useResidentialProxy": true
}

Output

Each dataset row includes listing ID and URL, title, category, auction date, current price, year, make, model, hours, location, seller, image URLs, source URL, and scrape timestamp. A SUMMARY key-value record contains counts and warnings.

Pricing

Pricing is pay per event: $0.01 per run start and $0.05 per unique validated listing written to the dataset. A 25-result run has a maximum event charge of $1.26, excluding Apify compute and any proxy usage. The actor logs the result-charge cap before crawling.

Limitations

AuctionTime may challenge automated traffic or change its page markup. The actor detects challenge pages and fails honestly when every supplied page is blocked. It is intended for public-data research and automation; confirm compliance with AuctionTime terms and applicable law.

What data does AuctionTime Scraper return?

Field	Type	Description
listingId	string	Listing ID
listingUrl	string	Listing URL
title	string or null	Title
category	string or null	Category
auctionDate	string or null	Auction Date
price	number or null	Current Price
priceDisplay	string or null	Displayed Price
year	integer or null	Year
make	string or null	Make
model	string or null	Model
hours	number or null	Hours
location	string or null	Location
seller	string or null	Seller
imageUrls	array	Images
sourceUrl	string	Source URL
scrapedAt	string	Scraped At

Use cases

• Schedule repeatable collection and export results to downstream workflows.
• Run a one-off research job and export the structured result as JSON, CSV, Excel, XML, or RSS from Apify.
• Schedule the same input to monitor changes over time and send completed datasets to a webhook or integration.
• Feed schema-shaped records into a database, spreadsheet, BI tool, or AI workflow with the source URL retained for verification.

Run AuctionTime Scraper with the Apify API

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('muhammadafzal/auctiontime-scraper').call({
  "startUrls": [
    {
      "url": "https://www.auctiontime.com/listings/upcoming-auctions/tractors/1100"
    }
  ],
  "maxResults": 25,
  "maxRequestRetries": 2,
  "useResidentialProxy": true
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

You can also run the Actor from Apify Console, schedules, webhooks, the REST API, Make, Zapier, n8n, or the hosted Apify MCP server.

Support

When reporting a problem, include the Actor run ID, a redacted input, the expected result, and a small public example URL when applicable. Do not post API tokens, cookies, credentials, or personal data in an issue.

Frequently asked questions

Can I schedule AuctionTime Scraper?

Yes. Use an Apify schedule to run the same saved input at a chosen interval, then connect a webhook or integration to process the dataset when the run finishes.

How should I test a new input?

Begin with the prefilled example or a small limit. Confirm that the output fields, source coverage, runtime, and live charges match your workflow before increasing the scope.

How do I export the results?

Open the run's default dataset in Apify Console and export JSON, CSV, Excel, XML, or RSS. Applications can retrieve the same records through the Apify API client or REST dataset endpoint.

Can an AI agent call this Actor?

Yes. Add muhammadafzal/auctiontime-scraper through the hosted Apify MCP server or call it through the API. The Actor's input and dataset schemas help agents construct valid requests and interpret returned records.

Recommended workflow

1. Define the smallest useful scope. Choose a representative public URL, query, identifier, or filter and keep the first result limit low.
2. Run and inspect. Check the run log, dataset item count, field coverage, source URLs, and live event or usage charges.
3. Validate downstream assumptions. Confirm nullable fields, deduplication keys, timestamps, and any locale-specific formats before importing records into another system.
4. Scale gradually. Increase limits or scheduling frequency only after the small run behaves as expected. Use Apify's maximum-cost and timeout controls to bound large jobs.
5. Monitor changes. Keep a small known-good input as a canary. If the source layout or API changes, compare the new dataset with a previously validated run and report the run ID when requesting support.

For recurring workflows, store the exact Actor input with your pipeline configuration. This makes runs reproducible and helps distinguish a source-data change from an input change.