# PressXchange Scraper — Used Printing Equipment (`crawloop/pressxchange-scraper`) Actor

Scrape PressXchange used & new printing presses, postpress, prepress, digital, and packaging machines: specs, year, sheet size, impressions, images, dealer IDs. Category crawl or startUrls. Listings or details mode. Fast HTTP via curl\_cffi.

- **URL**: https://apify.com/crawloop/pressxchange-scraper.md
- **Developed by:** [Andrej Kiva](https://apify.com/crawloop) (community)
- **Categories:** E-commerce, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 scraped pressxchange details

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## PressXchange Scraper — Used Printing & Packaging Equipment

> **Crawloop Print & Lab Equipment** — used presses and laboratory inventory.

| PressXchange | PressCity | Labexchange | Surplex | Troostwijk |
| :--- | :--- | :--- | :--- | :--- |
| **PressXchange Scraper** ◄── you are here | [PressCity Scraper](https://apify.com/crawloop/presscity-scraper) | [Labexchange Scraper](https://apify.com/crawloop/labexchange-scraper) | [Surplex Scraper](https://apify.com/crawloop/surplex-scraper) | [Troostwijk Scraper](https://apify.com/crawloop/troostwijk-scraper) |

> **Disclaimer:** Unofficial integration for publicly accessible PressXchange listings. Not affiliated with, sponsored by, or endorsed by PressXchange or its operators. Trademarks belong to their respective owners.
>
> This Actor is provided **for informational and research purposes only** (market research, dealer intelligence, inventory monitoring, pricing workflows). You are solely responsible for ensuring your use complies with applicable laws, platform terms of use, and your organization's policies.
>
> No warranty is given as to accuracy, completeness, or continued availability of third-party data. Use at your own risk.

Scrape **used and new printing presses**, **postpress / bindery**, **prepress**, **digital**, **web**, and **cardboard / packaging** machines into clean structured JSON. Built for B2B workflows: equipment dealers, print-shop buyers, market comps, and inventory monitoring.

Supports **catalog group crawls**, **year filters**, **start URLs**, and **direct machine detail pages**. Choose `listings` mode for fast card-level catalogs or `details` mode for full product pages with technical specs, image galleries, manufacturer data, and dealer IDs (no phone or email).

Lightweight HTTP extraction with TLS fingerprinting — no headless browser overhead. Residential proxies recommended for production runs.

### When to use this Actor

Use the **PressXchange Scraper** when you need:

- **Machine inventory** across presses, postpress, prepress, digital, web, and packaging groups
- **Technical attributes** — manufacturer, model / model range, year, colours, sheet size, impressions, location
- **Structured specifications** — coater, autoplate, and other PDP key-value fields when published
- **Image galleries** — CDN photo sets for valuation and catalog enrichment
- **Year-filtered crawls** — optional `yearFrom` / `yearTo` on category URLs
- **Dealer linkage** — public `dealerId` for downstream enrichment (contacts stay behind enquiry forms)

Ideal for printing equipment dealers, packaging buyers, market analysts, and data teams tracking used graphic-arts machinery.

### Data pipeline

```
Input                              Mode                         Output
─────────────────────────         ────────────────────         ──────────────────────────

  Group / category URL       ──►   listings (fast cards)  ──►  title, year, thumbnail
  Year-filtered URL          ──►   details  (full PDP)   ──►  specs, images, description
  Direct machine-id URL      ──►                           ──►  manufacturer, dealerId
  groups[] + yearFrom/To

  Join by manufacturer + model ──► comps & inventory alerts
```

### Key Features

- **10 catalog groups** — Prepress, Press, Postpress/Bindery, Cardboard/Packaging, Web, Corrugated, Digital, Material Handling, Other, Large Format Digital.
- **Year filters** — optional manufacture-year range appended to category URLs.
- **Two extraction modes** — `listings` for card-level stubs; `details` for JSON-LD + HTML specs + gallery.
- **Deep machine attributes** — sheet size, impressions, colours, location, condition when available.
- **Dealer ID without PII** — enquiry-hook dealer ID only; no phone or email scraping.
- **Fast concurrent HTTP** — Chrome TLS impersonation and parallel detail fetches; residential proxy recommended at scale.

### Input Parameters

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `startUrls` | Array | sample Press group | Category/search pages or machine detail URLs (`/machine-id/{id}/`). |
| `groups` | Array | `["press"]` | Used when `startUrls` is empty. Empty = all catalog groups. |
| `yearFrom` | Integer | — | Optional minimum manufacture year. |
| `yearTo` | Integer | — | Optional maximum manufacture year. |
| `runMode` | String | `"details"` | `"listings"` (cards) or `"details"` (full PDP). |
| `maxItems` | Integer | `100` | Maximum machines to return (`0` = unlimited). |
| `maxPagesPerUrl` | Integer | `5` | Pagination depth per start URL (`0` = until exhausted; ~34 items/page). |
| `concurrencyLimit` | Integer | `5` | Parallel detail workers (1–20). |
| `proxyConfiguration` | Object | Apify Proxy | Residential proxies recommended. |

#### Input example — Press group details

```json
{
  "startUrls": [
    { "url": "https://www.pressxchange.com/en/search/group/2/press/" }
  ],
  "runMode": "details",
  "maxItems": 100,
  "maxPagesPerUrl": 5,
  "concurrencyLimit": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

#### Input example — year filter via groups

```json
{
  "groups": ["press", "postpress-bindery"],
  "yearFrom": 2010,
  "yearTo": 2024,
  "runMode": "details",
  "maxItems": 200,
  "maxPagesPerUrl": 10,
  "concurrencyLimit": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

### Output Format

Each row is pushed to the default dataset.

#### Details mode (enriched)

| Field | Description |
| :--- | :--- |
| `id`, `url`, `title` | Machine identifiers |
| `category`, `manufacturer`, `model`, `modelRange` | Equipment identity |
| `year`, `colours`, `location` | Core listing facts |
| `sheetSize`, `impressions` | Format and usage when published |
| `price`, `currency`, `priceOnRequest` | Asking price or contact-for-price |
| `description`, `specifications`, `images` | Free text, spec map, gallery |
| `dealerId`, `dealerRefNumber` | Dealer linkage (no phone/email) |
| `condition`, `scrapedAt` | Condition label and scrape timestamp |

#### Example record

```json
{
  "id": "451020",
  "url": "https://www.pressxchange.com/en/4-color-heidelberg-cx-102-4-lx-year-2016/machine-id/451020/",
  "title": "HEIDELBERG CX 102-4+LX",
  "category": "Sheet Fed",
  "manufacturer": "Heidelberg",
  "model": "CX 102",
  "modelRange": "CX 102",
  "year": 2016,
  "colours": 4,
  "location": "Europe",
  "sheetSize": "720 x 1020 mm.",
  "impressions": "180 million",
  "price": null,
  "currency": "EUR",
  "priceOnRequest": true,
  "description": "Prinect press Centre\nInpress\nAuto plate\n...",
  "images": [
    "https://cdn.pressxchange.com/53/800/x800_heidelberg-cx102-12763447.jpg"
  ],
  "specifications": {
    "Category": "Sheet Fed",
    "Manufacturer": "Heidelberg",
    "Model range": "CX 102",
    "Colours": "4",
    "Year": "2016",
    "Location": "Europe",
    "Coater": "Yes",
    "Has Autoplate Loading": "Yes"
  },
  "dealerId": "456068",
  "condition": "Used",
  "scrapedAt": "2026-07-22T18:59:00+00:00"
}
```

### Integration examples

#### Node.js

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('crawloop/pressxchange-scraper').call({ startUrls: [{ url: "https://www.pressxchange.com/en/used-printing-machines" }], runMode: "details", maxItems: 20, maxPagesPerUrl: 1 });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.slice(0, 5));
```

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient(token)
run = client.actor("crawloop/pressxchange-scraper").call(
    run_input={"startUrls": [{"url": "https://www.pressxchange.com/en/used-printing-machines"}], "runMode": "details", "maxItems": 20, "maxPagesPerUrl": 1}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("title"), item.get("manufacturer"), item.get("price"))
```

#### cURL

```bash
curl "https://api.apify.com/v2/acts/crawloop~pressxchange-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":[{"url":"https://www.pressxchange.com/en/used-printing-machines"}],"runMode":"details","maxItems":20,"maxPagesPerUrl":1}'
```

### MCP and AI assistants

Use this Actor from AI tools via [Apify MCP](https://docs.apify.com/platform/integrations/mcp). Connect your Apify account, then call `crawloop/pressxchange-scraper`.

Example prompts:

- "Run PressXchange Scraper details mode max 20 and return title, manufacturer, year, price"
- "Scrape PressXchange Heidelberg presses and summarize years and locations"
- "Chain PressXchange then Surplex Scraper for auction comps"

### Suite next step

Compare with [PressCity Scraper](https://apify.com/crawloop/presscity-scraper). For industrial auctions, use [Surplex Scraper](https://apify.com/crawloop/surplex-scraper).

### Notes

- Most listings are **Request Price** — expect `priceOnRequest: true` and a null `price`.
- Public pages do not expose dealer phone or email; the Actor stores `dealerId` only.
- Prefer residential proxies for larger crawls; keep concurrency moderate (3–8) to reduce WAF friction.
- Sliding pagination is handled automatically (featured cards may repeat across pages and are deduped by machine ID).

# Actor input Schema

## `startUrls` (type: `array`):

Category/search pages (e.g. /en/search/group/2/press/), just-listed, or direct machine detail URLs (/machine-id/{id}/). If empty, groups below are used.

## `groups` (type: `array`):

Used when startUrls is empty. Leave empty to scrape all catalog groups.

## `yearFrom` (type: `integer`):

Optional minimum manufacture year filter (appended to category URLs).

## `yearTo` (type: `integer`):

Optional maximum manufacture year filter (appended to category URLs).

## `runMode` (type: `string`):

listings = fast card-level data from search pages. details = visit each machine page for JSON-LD, full specs, images, and description.

## `maxItems` (type: `integer`):

Maximum machines to return. 0 = unlimited.

## `maxPagesPerUrl` (type: `integer`):

Pagination depth per category URL. Each page has ~34 listings. 0 = until no more pages.

## `concurrencyLimit` (type: `integer`):

Parallel detail-page workers. Keep moderate to avoid WAF rate limits.

## `proxyConfiguration` (type: `object`):

Residential proxies recommended (AWS WAF / Cloudflare).

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.pressxchange.com/en/search/group/2/press/"
    }
  ],
  "groups": [
    "press"
  ],
  "runMode": "details",
  "maxItems": 100,
  "maxPagesPerUrl": 5,
  "concurrencyLimit": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Default dataset items.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://www.pressxchange.com/en/search/group/2/press/"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawloop/pressxchange-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "startUrls": [{ "url": "https://www.pressxchange.com/en/search/group/2/press/" }] }

# Run the Actor and wait for it to finish
run = client.actor("crawloop/pressxchange-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://www.pressxchange.com/en/search/group/2/press/"
    }
  ]
}' |
apify call crawloop/pressxchange-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=crawloop/pressxchange-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/73LEdKkUvaKt3O8hH/builds/NeZ3VcYGSXghCe0Nw/openapi.json