# Bank Statement PDF to Excel & CSV (`adhistory/bank-statement-to-excel`) Actor

Turn bank statement PDFs into rows: date, description, debit, credit, amount and running balance, plus opening and closing balance and a balance check. One Excel file and CSVs per run. Billed per statement delivered.

- **URL**: https://apify.com/adhistory/bank-statement-to-excel.md
- **Developed by:** [Brandon Ob](https://apify.com/adhistory) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.50 / 1,000 statements

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

## Bank Statement PDF to Excel & CSV: turn statement PDFs into transactions

This bank statement converter turns bank statement PDFs into rows: every transaction with its date, description, debit, credit, signed amount and running balance, plus the statement's opening and closing balance. You also get one Excel file for the whole run (a Statements sheet and a Transactions sheet) and two CSV files. Each statement carries a **balance check**: the Actor adds every transaction to the opening balance and tells you whether the result matches the printed running balances. You are charged per statement delivered, never for a PDF that failed or had no transactions.

### What does Bank Statement PDF to Excel & CSV do?

- **Extracts every transaction**: date, description, extra detail lines, debit, credit, signed amount and running balance.
- **Extracts statement details**: bank, account number (as printed, usually masked), currency, period start and end, opening and closing balance, total credits, total debits and transaction count.
- **Checks the balance**: `ok` when the transactions add up to the printed running balances, `mismatch` when they do not, `unverified` when the statement has no running balance.
- Reads **tables with column headings** (Date / Description / Debit or Withdrawal / Credit or Deposit / Balance, or Amount) and **plain text lines** that start with a date and end with an amount and a balance.
- Returns dates as `YYYY-MM-DD`, working out day-first or month-first from the whole statement, or using the order you set.
- Writes `statements.xlsx`, `statements.csv` and `transactions.csv` for the whole run, and opens password-protected PDFs when you give the password.

### Use cases

- **Bookkeepers and accountants:** turn a client's monthly statements into a transaction list for categorization and reconciliation.
- **Small business owners:** build a cash-flow spreadsheet from several accounts without retyping.
- **Lenders and underwriters:** review income, rent and recurring payments across months of statements, with a balance check that flags reading errors.
- **Personal finance:** export a year of statements into a budget spreadsheet.
- **Automation builders:** add a "statement to transactions" step after a document upload, then send the rows to Google Sheets or an accounting tool.

### How to use it

1. Open the Actor in Apify Console and add bank statement PDF links, one per line. Each file must open in a browser without a login.
2. Optional: set **Date order** if your dates look like 03/04/2026 and you know whether they are day-first or month-first.
3. Click **Start**.
4. Open the **Statements** view, download the dataset, use the `excelUrl` workbook, or use `transactions.csv` for one row per transaction.
5. To process new statements regularly, save your input as a task and schedule it, or call the Actor from the API.

### Input

| Field | What it does |
|---|---|
| `pdfUrls` | Direct links to bank statement PDFs, one per line. |
| `dateOrder` | `auto` (default), `dmy` (day first) or `mdy` (month first) for dates like 03/04/2026. |
| `pdfPassword` | Optional, for password-protected files. |
| `maxItems` | Stop after this many statements (default 100). |

Example input:

```json
{
  "pdfUrls": ["https://raw.githubusercontent.com/AyonPal/bank-statement-pdf-parser/main/samples/pdfs/astra-premier-checking-jan-2026.pdf"],
  "dateOrder": "auto",
  "maxItems": 100
}
```

### Output

One dataset item per statement. Example based on the default run (a synthetic statement from a public test set); the transaction rows are real output, the statement-level values are illustrative and the list is shortened:

```json
{
  "bank": "Astra Bank",
  "accountNumber": "XXXX XXXX 4821",
  "currency": "INR",
  "periodStart": "2026-01-01",
  "periodEnd": "2026-01-31",
  "openingBalance": 84913.55,
  "closingBalance": 61230.10,
  "totalCredits": 120000.00,
  "totalDebits": 143683.45,
  "transactionCount": 24,
  "balanceCheck": "ok",
  "transactions": [
    {"date": "2026-01-03", "description": "NEFT SALARY CREDIT JAN 2026", "details": "", "debit": null, "credit": 120000.00, "amount": 120000.00, "balance": 204913.55},
    {"date": "2026-01-04", "description": "UPI/DR/FRESHMART INDIRANAGAR", "details": "", "debit": 2164.75, "credit": null, "amount": -2164.75, "balance": 202748.80},
    {"date": "2026-01-05", "description": "ACH/DR/HOME RENT JANUARY", "details": "", "debit": 38000.00, "credit": null, "amount": -38000.00, "balance": 164748.80}
  ],
  "pdfUrl": "https://raw.githubusercontent.com/AyonPal/bank-statement-pdf-parser/main/samples/pdfs/astra-premier-checking-jan-2026.pdf",
  "pages": 2,
  "extractedAt": "2026-10-27T13:42:35+00:00",
  "excelUrl": "https://api.apify.com/v2/key-value-stores/<storeId>/records/statements.xlsx"
}
```

The key-value store also holds `statements.csv`, `transactions.csv` and a `SUMMARY` record that lists PDFs that could not be read or had no transactions. The dataset can be downloaded as JSON, CSV, Excel, XML or HTML, or read through the API.

### Pricing

Pay per event: **$15.00 per 1,000 statements** delivered, plus a $0.00005 charge per Actor start. A statement can have any number of pages and transactions. PDFs that fail or have no transactions are not charged. You can set a maximum cost per run.

Discounts apply automatically on paid Apify plans: 10% off on Starter, 20% on Scale and 30% on Business.

Example: 12 monthly statements for one account cost about **$0.18**.

### Integrations and API

Run it and get the statements back in one call:

```bash
curl -X POST "https://api.apify.com/v2/acts/adhistory~bank-statement-to-excel/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"pdfUrls": ["https://example.com/statement-jan.pdf"], "dateOrder": "auto"}'
```

Python, with the `apify-client` package:

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("adhistory/bank-statement-to-excel").call(run_input={
    "pdfUrls": ["https://example.com/statement-jan.pdf"],
})
for st in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(st["periodStart"], st["periodEnd"], st["closingBalance"], st["balanceCheck"])
```

Like every Apify Actor, it also works with Make, Zapier and n8n, with webhooks and schedules, and as a tool for AI agents through the Apify MCP server.

### FAQ

**Does it read scanned statements?** No. It needs PDFs that contain real text, which is what banks let you download. A scanned statement (a picture of paper) fails with a clear message; there is no OCR.

**Which banks are supported?** Any bank whose statement is a table with column headings, or plain text lines that start with a date and end with an amount and a balance. A layout that is neither can come back with no transactions or with merged rows, so check your first run.

**How does it tell debits from credits?** From the column an amount sits in. In plain text lines, from the change in running balance, or from a minus sign, brackets or CR/DR next to the amount. A statement with no running balance and no sign marks is read as written.

**The balance check says `mismatch`. What now?** A row was probably read wrongly or skipped. Compare `openingBalance`, `totalCredits`, `totalDebits` and `closingBalance` with the PDF to see where it goes off, and open an issue with the bank name.

**Is my statement stored anywhere?** Only in your own run's storage on Apify; nothing is kept beyond your run. Do not submit statements you have no right to process.

**Are there file limits?** Up to 50 MB per PDF, from public links.

### Related tools

- [Invoice PDF to Excel & CSV](https://apify.com/adhistory/invoice-pdf-to-excel): invoice numbers, totals and line items.
- [Payslip PDF to Excel & CSV](https://apify.com/adhistory/payslip-pdf-to-excel): gross pay, tax, deductions and net pay.
- [PDF Table to Excel & CSV](https://apify.com/adhistory/pdf-tables-to-excel): every table from any text-based PDF.
- [Google Sheets Export & Import](https://apify.com/adhistory/google-sheets-export-actor): send transactions straight into a Google Sheet.

Found a bug or need a feature? Open an issue on the Issues tab — I usually reply within a day.

# Actor input Schema

## `pdfUrls` (type: `array`):

Direct links to bank statement PDF files, one per line. The file must be reachable without a login.

## `dateOrder` (type: `string`):

How to read dates like 03/04/2026. Auto works out day-first or month-first from all dates in the statement (for example one date of 31/01); if it cannot, such dates stay as printed.

## `pdfPassword` (type: `string`):

Optional. Only for password-protected files.

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

Stop after this many statements. You are charged per statement delivered.

## Actor input object example

```json
{
  "pdfUrls": [
    "https://raw.githubusercontent.com/AyonPal/bank-statement-pdf-parser/main/samples/pdfs/astra-premier-checking-jan-2026.pdf"
  ],
  "dateOrder": "auto",
  "maxItems": 100
}
```

# Actor output Schema

## `statements` (type: `string`):

No description

## `summary` (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 = {
    "pdfUrls": [
        "https://raw.githubusercontent.com/AyonPal/bank-statement-pdf-parser/main/samples/pdfs/astra-premier-checking-jan-2026.pdf"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("adhistory/bank-statement-to-excel").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 = { "pdfUrls": ["https://raw.githubusercontent.com/AyonPal/bank-statement-pdf-parser/main/samples/pdfs/astra-premier-checking-jan-2026.pdf"] }

# Run the Actor and wait for it to finish
run = client.actor("adhistory/bank-statement-to-excel").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 '{
  "pdfUrls": [
    "https://raw.githubusercontent.com/AyonPal/bank-statement-pdf-parser/main/samples/pdfs/astra-premier-checking-jan-2026.pdf"
  ]
}' |
apify call adhistory/bank-statement-to-excel --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,adhistory/bank-statement-to-excel"
        }
    }
}
```

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/3GzGVTP4qf3phO12E/builds/8swk1t7NnY0bzYZ9B/openapi.json