# Oscaro Scraper — EUR Prices & Price Monitor (`crawloop/oscaro-scraper`) Actor

Scrape Oscaro parts by name or OE reference. Save the EUR price, public price, brand, reference, and stock, then alert on new parts and price or stock changes.

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

## Pricing

from $5.70 / 1,000 overview parts

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Oscaro Scraper — EUR Prices & Price Monitor

> **Disclaimer:** Unofficial tool — not affiliated with, sponsored by, or endorsed by Oscaro.com or its affiliates. Data is read from the public French catalog search only. No login. You are responsible for complying with applicable law (including GDPR where personal data appears) and the site’s terms. No warranty on accuracy or availability. Provided for informational and research use.

Search **Oscaro** by a French part name or an OE reference and export the selling price in EUR, the public price, brand, reference, and stock. Turn on monitor mode and an Apify Schedule to save only new parts, price changes, and stock or promo changes.

**Best for:** garage price checks, reference searches, and a scheduled alert when an Oscaro price or stock flag moves.

> **Auto parts suite** — French catalog price here, then a US new price, a used yard price, and the donor car.

| Actor | What it returns |
| :--- | :--- |
| [Row52 Scraper](https://apify.com/crawloop/row52-scraper) | Junkyard donor cars: VIN, yard, row |
| [Pick-n-Pull Scraper](https://apify.com/crawloop/picknpull-scraper) | Self-service yard inventory: VIN, row |
| [PartsHotlines Scraper](https://apify.com/crawloop/partshotlines-scraper) | Used part price, grade, and yard |
| [CarParts.com Scraper](https://apify.com/crawloop/carparts-com-scraper) | US aftermarket price and catalog status |
| Oscaro Scraper ◄── you are here | French catalog price in EUR |
| [Car-Part Scraper](https://apify.com/crawloop/car-part-scraper) | Used recycler price, grade, and distance |

### When to use this Actor

- **Price a job** — Search `plaquette de frein` or a reference such as `GDB1330` and export brand, EUR price, and public price.
- **Match a reference** — Search the manufacturer reference and read the brand, price, and spec lines on the result.
- **Pull specs** — Switch to detail mode for the TecDoc specification table without opening a product page.
- **Watch a price** — Schedule the same search. The first run stores a baseline. Later runs return only new parts or parts whose price, stock, or promo flag changed.
- **Compare with US new and used stock** — After this run, check a US new price with [CarParts.com Scraper](https://apify.com/crawloop/carparts-com-scraper), a Hotlines yard price with [PartsHotlines Scraper](https://apify.com/crawloop/partshotlines-scraper), and recycler asking prices with [Car-Part Scraper](https://apify.com/crawloop/car-part-scraper). To find the donor car, run [Row52 Scraper](https://apify.com/crawloop/row52-scraper) or [Pick-n-Pull Scraper](https://apify.com/crawloop/picknpull-scraper).

This Actor reads the public French catalog search. On Apify it opens a browser, because platform addresses receive a check page. It does not log in, place orders, or open product pages for the dataset.

### Key features

- **Search without a vehicle** — A part name or an OE / manufacturer reference is enough.
- **EUR price and public price** — Selling price, public price, and promotion flag when the results page prints them.
- **Identifiers** — Brand, reference, image, and product URL.
- **Specs** — Detail mode adds the specification lines printed on the result.
- **Monitor** — Baseline on the first run. Later runs charge only new parts, price drops, price rises, and stock or promo changes.
- **Browser on Apify** — A normal connection can read the search directly. A run on Apify opens a browser and uses the residential proxy, because the catalog serves a check page to platform addresses.

### Input parameters

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `queries` | Array | `["plaquette de frein"]` | French part name or OE reference. Each entry is its own search. |
| `scrapeMode` | String | `overview` | `overview` or `detail`. Detail adds the spec lines from the result. |
| `brand` | String | — | Manufacturer filter, for example `BOSCH`. |
| `genartId` | String | — | TecDoc part-type id, for example `402`. |
| `available` | Boolean | `false` | Keep only parts marked in stock. |
| `promo` | Boolean | `false` | Keep only parts on promotion. |
| `universal` | Boolean | `false` | Keep only universal-fit parts. |
| `maxItems` | Integer | `100` | Maximum parts to save. In monitor mode this caps alerts. |
| `maxPages` | Integer | `1` | The catalog returns one results page, about 50 parts. |
| `monitorMode` | Boolean | `false` | Save only changes after the baseline run. |
| `monitorStoreName` | String | `oscaro-monitor` | Named store for one watch. |
| `resetMonitorState` | Boolean | `false` | Clear the baseline before this run. |
| `proxyConfiguration` | Object | residential | Used on Apify. Leave the residential proxy on. |

#### Input example — part search

```json
{
  "queries": ["plaquette de frein"],
  "scrapeMode": "overview",
  "maxItems": 100,
  "maxPages": 1
}
```

#### Input example — scheduled price watch

```json
{
  "queries": ["GDB1330"],
  "scrapeMode": "overview",
  "monitorMode": true,
  "monitorStoreName": "gdb1330-watch",
  "maxItems": 50,
  "maxPages": 1
}
```

### Output

Each saved part is one dataset row.

| Field | Description |
| :--- | :--- |
| `objectId` | Catalog id. This is the monitor key. |
| `title` | Generic part title. |
| `brand` | Manufacturer. |
| `reference` | Manufacturer reference. |
| `ean` | Not printed on the results page. |
| `equivalentReferences` | Not printed on the results page. |
| `price` | Selling price in EUR, VAT included. |
| `publicPrice` | Public price in EUR. |
| `promo` | Promotion flag. |
| `available` | In-stock flag. |
| `category`, `subCategory` | Catalog categories. |
| `genartId` | TecDoc part-type id from the result. |
| `specs` | Specification rows. Present in detail mode. |
| `vehicleFitmentCount` | Not printed on the results page. |
| `url` | Product page URL. |
| `monitorChange` | `new`, `price_drop`, `price_rise`, or `status_change`. |
| `previousPrice` | Price from the previous monitor run. |
| `scrapedAt` | UTC time of the run. |

#### Output example

```json
{
  "objectId": "83411_0",
  "title": "Jeu de 4 plaquettes de frein",
  "brand": "BOSCH",
  "reference": "0 986 467 720",
  "price": 22.2,
  "publicPrice": 74.89,
  "currency": "EUR",
  "promo": false,
  "available": true,
  "category": "Freinage",
  "subCategory": "Plaquettes de frein",
  "genartId": "402",
  "url": "https://www.oscaro.com/jeu-de-4-plaquettes-de-frein-bosch-0-986-467-720-83411-402-p",
  "searchQuery": "plaquette de frein",
  "country": "FR",
  "scrapedAt": "2026-10-23T14:00:00+00:00"
}
```

### Use cases

- A garage looks up `GDB1330` and quotes the current EUR price, public price, and brand.
- A catalog feed takes brand, reference, price, and image URL for one part name.
- A reseller schedules the same reference and reads only the rows whose price dropped.
- A buyer compares the Oscaro price from this Actor with used US inventory from the Car-Part Scraper.

### 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/oscaro-scraper').call({
  queries: ['plaquette de frein'],
  scrapeMode: 'overview',
  maxItems: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient(token="YOUR_TOKEN")
run = client.actor("crawloop/oscaro-scraper").call(run_input={
    "queries": ["GDB1330"],
    "scrapeMode": "detail",
    "maxItems": 20,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["brand"], item["reference"], item["price"])
```

#### cURL

```bash
curl -X POST "https://api.apify.com/v2/acts/crawloop~oscaro-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d "{\"queries\":[\"plaquette de frein\"],\"scrapeMode\":\"overview\",\"maxItems\":100}"
```

### 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 this Actor by its Store name `crawloop/oscaro-scraper`.

Example prompts:

- "Run Oscaro Scraper for plaquette de frein and return the first 20 rows with brand, reference, and price as JSON."
- "Run Oscaro Scraper in detail mode for reference GDB1330 and summarize the spec labels."
- "Run Oscaro Scraper for plaquette de frein, then CarParts.com Scraper for the US new price and PartsHotlines Scraper for the used yard price."

### Suite next step

For a US new-part price after this EUR check, run [CarParts.com Scraper](https://apify.com/crawloop/carparts-com-scraper). For a used yard price, run [PartsHotlines Scraper](https://apify.com/crawloop/partshotlines-scraper) or [Car-Part Scraper](https://apify.com/crawloop/car-part-scraper). To find the donor car, run [Row52 Scraper](https://apify.com/crawloop/row52-scraper) or [Pick-n-Pull Scraper](https://apify.com/crawloop/picknpull-scraper).

### FAQ

**Do I need a vehicle?**
No. Search by a French part name or a reference.

**What does monitor mode save?**
The first run stores the prices it scanned and returns parts up to the max. Later runs with the same monitor store name return only new parts, price changes, and stock or promo changes.

**Which catalog is this?**
The French catalog, with prices in EUR. Queries work best in French.

# Actor input Schema

## `queries` (type: `array`):

French part name or OE / manufacturer reference. Each entry is its own search. Example: plaquette de frein or GDB1330.

## `scrapeMode` (type: `string`):

Overview saves price, brand, reference, EAN, stock, and a short cross-reference list. Detail adds the TecDoc spec table and a longer cross-reference list from the same search hit.

## `brand` (type: `string`):

Optional manufacturer filter, for example BOSCH. Use the catalog label.

## `genartId` (type: `string`):

Optional TecDoc generic-article id, for example 402 for a brake-pad set. The genartId field on a previous row is the value to paste.

## `available` (type: `boolean`):

When on, keep only parts the catalog marks as available.

## `promo` (type: `boolean`):

When on, keep only parts currently on promotion.

## `universal` (type: `boolean`):

When on, keep only parts marked as fitting any vehicle.

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

Maximum parts to save across all searches. In monitor mode this caps alerts, not how many parts are scanned.

## `maxPages` (type: `integer`):

The catalog returns the first results page, about 50 parts. Further pages are not included.

## `monitorMode` (type: `boolean`):

The first run saves a baseline and returns parts up to Max saved parts. Later runs with the same monitor store save and charge only new parts, price changes, and stock or promo changes. Pair with an Apify Schedule.

## `monitorStoreName` (type: `string`):

Named key-value store for prices already seen. Use one name per watch so schedules do not overwrite each other.

## `resetMonitorState` (type: `boolean`):

Clear the saved baseline before this run. The run then saves a new baseline.

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

On by default. The catalog search answers from a normal connection, and asks for a browser check from the platform, so a run uses a residential proxy.

## Actor input object example

```json
{
  "queries": [
    "plaquette de frein"
  ],
  "scrapeMode": "overview",
  "available": false,
  "promo": false,
  "universal": false,
  "maxItems": 100,
  "maxPages": 1,
  "monitorMode": false,
  "monitorStoreName": "oscaro-monitor",
  "resetMonitorState": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "FR"
  }
}
```

# 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 = {
    "queries": [
        "plaquette de frein"
    ],
    "scrapeMode": "overview",
    "maxItems": 100,
    "maxPages": 1
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawloop/oscaro-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 = {
    "queries": ["plaquette de frein"],
    "scrapeMode": "overview",
    "maxItems": 100,
    "maxPages": 1,
}

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

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

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

```

## CLI example

```bash
echo '{
  "queries": [
    "plaquette de frein"
  ],
  "scrapeMode": "overview",
  "maxItems": 100,
  "maxPages": 1
}' |
apify call crawloop/oscaro-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,crawloop/oscaro-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Z0BPbEjdVYAwfLTQw/builds/ae5zmmQI8C2nPCQSs/openapi.json