# Supplier Price List to CSV (`cory8484/my-actor`) Actor

Extract SKU, description and price from ruled, text-based supplier PDF price lists. Export CSV and JSON with page evidence, and flag ambiguous or conflicting rows for review.

- **URL**: https://apify.com/cory8484/my-actor.md
- **Developed by:** [Cory Maag](https://apify.com/cory8484) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 parsed product rows

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/actors/running/actors-in-store.md#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

## Supplier Price List to CSV - SKU, Price and Page Evidence

**Public pilot: supported ruled-table PDFs only.**

Convert a supplier's text-based PDF price table into structured product rows. Get SKU, description, unit, price and currency together with the page and row they came from.

Built for procurement teams, catalog administrators and automation builders who need to review product data before importing it.

### Try it

Leave the PDF URL blank to run a free fictional demo. For your own document, paste a direct public HTTPS PDF link, select the supplier's currency and number format, and start the run.

Open the dataset for parsed products. Download `PRODUCTS.csv` from the run's key-value store. Check `REVIEW` for rows needing attention and `SUMMARY` for partial-page notices or unsupported tables.

If your table contains both list and net prices, set Optional column indexes explicitly. Indexes start at zero: `{"sku":0,"description":1,"price":4}` selects the fifth column as the price. The tool will flag an ambiguous price choice instead of guessing.

### What you get

- Product codes retained as strings, normalized decimal prices and currency.
- Original cells and source page/table/row references in JSON.
- Conflicting duplicate SKUs flagged for review.
- Clear review flags for missing, zero or nonnumeric prices.

The engine uses deterministic table parsing. It does not send your PDF to an AI model or invent missing product information. Other agents and workflows can call the tool through Apify.

### Supported documents

Version 0.1 supports English, text-based PDFs with visible table rules and recognizable SKU/description/price headers on each table. It does not perform OCR or extract borderless layouts. A supplier dollar symbol alone does not identify USD, CAD or AUD: select the correct currency.

Maximum 10 MiB, 20 pages and 5,000 candidate rows per run. Partial-document processing is stated explicitly. Extraction is not a certification of completeness; review the original before using prices commercially. Import CSV SKU columns as text if codes have leading zeros.

### Pricing

**$2 per 1,000 parsed product rows ($0.002 each).** Rows marked for review, later exact duplicates, the built-in demo, and failed downloads do not incur the product-row event. Platform usage is included in this price; there is no separate start charge. Use a positive maximum run charge to limit spending.

### Privacy and support

Submit only documents you are authorized to process. Input URLs and extracted output are held in Apify run storage under its retention settings. The original PDF is processed in temporary storage. Report unsupported layouts through this Actor's Issues tab; redact confidential information before attaching examples.

# Actor input Schema

## `pdfUrl` (type: `string`):

Direct public HTTPS link to a PDF you have permission to process. Leave empty for the built-in fictional demo.

## `currency` (type: `string`):

Choose the currency stated by the supplier. A dollar symbol alone is ambiguous.

## `numberFormat` (type: `string`):

Decimal dot: 1,234.56. Decimal comma: 1.234,56.

## `firstPage` (type: `integer`):

First page to process, numbered from 1.

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

Process at most this many pages. A partial document is reported explicitly.

## `maxRows` (type: `integer`):

Stop at this row limit, including rows needing review.

## `columnMap` (type: `object`):

Override ambiguous columns using zero-based indexes, for example {"sku":0,"description":1,"price":3}. A recognizable SKU/price header is still required.

## Actor input object example

```json
{
  "currency": "unknown",
  "numberFormat": "decimal-dot",
  "firstPage": 1,
  "maxPages": 10,
  "maxRows": 2000
}
```

# Actor output Schema

## `products` (type: `string`):

No description

## `files` (type: `string`):

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("cory8484/my-actor").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("cory8484/my-actor").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 '{}' |
apify call cory8484/my-actor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,cory8484/my-actor"
        }
    }
}

```

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/HIlb5I6IftACciGRI/builds/aV6qeQyDKrTK0ypB5/openapi.json