# Invoice & Receipt to CSV for Bookkeeping (`keiwy/invoice-text-to-csv`) Actor

Paste invoice or receipt plain text; get a bookkeeping-ready CSV (date, merchant, amount, currency, invoice ID, tax ID, notes). Rule-based extract—no LLM, no OCR needed for already-text docs. Batch via texts\[]. $0.10 per row.

- **URL**: https://apify.com/keiwy/invoice-text-to-csv.md
- **Developed by:** [KEith wy](https://apify.com/keiwy) (community)
- **Categories:** AI, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$100.00 / 1,000 invoice csv extracteds

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?

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

## invoice-extract — 发票/小票 → 结构化 CSV

botD 全自动变现候选：**纯文本发票 → 固定列 CSV**。规则/正则解析，不依赖 LLM。

### 目录

```
invoice-extract/
  src/extract.py         # 纯函数：parse_invoice / rows_to_csv
  src/generate.py        # CLI + 可选 HTTP
  src/actor_main.py      # Apify Actor 入口草稿（可本地 dry-run）
  .actor/                # actor.json / input_schema / Dockerfile 草稿
  samples/               # 样本文本发票
  out/                   # 输出
  SHELF_APIFY.md         # Apify 上架/定价/提现结论
  SHELF_RAPIDAPI.md      # 与 RapidAPI 对比
  ONE_TIME_CONFIG.md     # 找老k 短清单（尚未请求）
  README.md
```

### 快速跑通

```bash
cd /workspace/botd-auto/invoice-extract

python3 src/generate.py --in samples/receipt_cafe.txt --out out/receipt_cafe.csv
python3 src/generate.py --in samples/invoice_saas.txt --out out/invoice_saas.csv

## Actor 本地 dry-run（无需 apify 账号）
python3 src/actor_main.py --in samples/receipt_cafe.txt
python3 src/actor_main.py   # 无参数时跑全部 samples
```

输出列固定：`date, merchant, amount, currency, invoice_id, tax_id, notes`

### HTTP

```bash
python3 src/generate.py --serve --host 127.0.0.1 --port 8787
curl -s -X POST http://127.0.0.1:8787/extract \
  -H 'Content-Type: text/plain' --data-binary @samples/receipt_cafe.txt
```

### 货架

默认 **Apify**（见 `SHELF_APIFY.md`）。**没有 Apify 账号/token 时卡在真实发布**；草稿已齐。对比 RapidAPI 见 `SHELF_RAPIDAPI.md`。

### 验收

赛点只认：**可核对的陌生客款**（金额不限）。本机跑通不算。

# Actor input Schema

## `text` (type: `string`):

Full plain-text body of a single invoice or receipt.

## `texts` (type: `array`):

Optional batch: each item is a string (or object with text/body). Used in addition to `text` if both set.

## Actor input object example

```json
{
  "text": "Acme SaaS Inc\nInvoice # INV-10042\nIssue Date: 2026-10-04\nTax ID: US-998877\nAmount Due: USD 58.00\nNotes: Pay within 14 days",
  "texts": []
}
```

# Actor output Schema

## `dataset` (type: `string`):

One dataset item per invoice: date, merchant, amount, currency, invoice_id, tax_id, notes.

## `outputCsv` (type: `string`):

Same rows as a CSV file in the run key-value store.

# 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 = {
    "text": `Acme SaaS Inc
Invoice # INV-10042
Issue Date: 2026-10-04
Tax ID: US-998877
Amount Due: USD 58.00
Notes: Pay within 14 days`,
    "texts": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("keiwy/invoice-text-to-csv").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 = {
    "text": """Acme SaaS Inc
Invoice # INV-10042
Issue Date: 2026-10-04
Tax ID: US-998877
Amount Due: USD 58.00
Notes: Pay within 14 days""",
    "texts": [],
}

# Run the Actor and wait for it to finish
run = client.actor("keiwy/invoice-text-to-csv").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 '{
  "text": "Acme SaaS Inc\\nInvoice # INV-10042\\nIssue Date: 2026-10-04\\nTax ID: US-998877\\nAmount Due: USD 58.00\\nNotes: Pay within 14 days",
  "texts": []
}' |
apify call keiwy/invoice-text-to-csv --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,keiwy/invoice-text-to-csv"
        }
    }
}
```

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/J6eTa05KpxFwgrFrh/builds/eyditn8EPmRG7wRac/openapi.json