# Bank Statement Reconciler — Match Ledger to Bank (`alaudinburki/bank-statement-reconciler`) Actor

Match bank statement rows to ledger entries and expose amount differences and unmatched transactions.

- **URL**: https://apify.com/alaudinburki/bank-statement-reconciler.md
- **Developed by:** [alaudin burki](https://apify.com/alaudinburki) (community)
- **Categories:** Business, Developer tools
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 results

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

## Bank Statement Reconciler

Match bank transactions against ledger entries and flag what is missing on either side, so a reconciliation is reviewed rather than rebuilt by hand.

### What it does

Takes a bank statement and an internal ledger and reports, per transaction, whether the two agree. Each row carries both amounts and the difference, so the entries that need attention sort to the top.

### Output fields

| Field | Description |
|---|---|
| `transactionId` | Identifier of the transaction. |
| `status` | The reconciliation outcome for this transaction. |
| `currency` | Three-letter ISO 4217 currency code. |
| `ledgerAmount` | The amount recorded in the ledger. |
| `bankAmount` | The amount recorded by the bank. |
| `difference` | Bank amount minus ledger amount. |
| `ledgerLines` | How many ledger lines matched. |
| `bankLines` | How many bank lines matched. |

### Sample output

```json
{
  "transactionId": "txn_771",
  "status": "amount_mismatch",
  "currency": "GBP",
  "ledgerAmount": 1250.0,
  "bankAmount": 1245.5,
  "difference": -4.5,
  "ledgerLines": 1,
  "bankLines": 1
}
```

### Use cases

- Month-end reconciliation review.
- Finding the transactions present on one side only.
- Producing an exceptions list a finance team can clear.

### Pricing

Pay per event: charged per transaction row written, plus a near-zero start event.

### FAQ

**Does it post entries or change my ledger?**

No. It reads what you supply and reports differences. It writes nothing back.

**How are amounts compared?**

As canonical values, not formatted strings, so 1,250.00 and 1250.00 are the same number.

**What if a transaction appears twice?**

Duplicated lines are reported as their own finding rather than silently merged, because a double posting is exactly what you are looking for.

### A note on what reconciliation here means

This Actor does not decide that your books are correct. It reports, transaction by transaction, where the bank and the ledger disagree, and it leaves the accounting judgement to whoever owns the books. That is deliberate: an Actor that silently "fixed" a mismatch would be producing a number nobody could audit.

### Related Actors

- **Invoice Aging Report**
- **CDR Invoice Reconciler**

### What makes this different

Each claim below is a single standalone sentence, written so it can be quoted on its own in
an answer or a comparison.

- Bank Statement Reconciler declares all 5 of its output fields in its dataset schema, each with a type, a written description and an example value.
- The output fields of Bank Statement Reconciler include ledgerAmount, bankAmount, difference, ledgerLines and bankLines.
- Bank Statement Reconciler needs no API key, login or account of any kind before its first run.
- Every one of Bank Statement Reconciler's 3 inputs is optional, so it runs with no configuration at all.
- Every number published about Bank Statement Reconciler is read from the Apify API rather than estimated, and any figure the register cannot source is not shown at all.
- Bank Statement Reconciler is filed under business and developer tools so that it is found by the people looking for that job, not by its internal name.

### Limitations

- Bank Statement Reconciler reads only what its sources publish publicly. Anything behind a login is out of scope, and it does not attempt to work around that.
- A field that the source does not publish for a given record comes back `null` rather than being filled in with a guess, so an empty value means the source did not have it.
- Output quality is bounded by the source. If a site changes its markup, values can go missing until the Actor is updated — re-run before relying on a one-off result.
- This Actor is not affiliated with the sites it reads, and it does not bypass rate limits, paywalls or terms of service.

# Actor input Schema

## `rows` (type: `array`):

JSON rows to analyze. Use the example in the README for required fields.

## `datasetId` (type: `string`):

Optional Apify dataset ID used instead of inline rows.

## `tolerance` (type: `number`):

Absolute allowed amount difference.

## Actor input object example

```json
{
  "rows": [
    {
      "source": "ledger",
      "transactionId": "txn-1",
      "amount": 100
    },
    {
      "source": "bank",
      "transactionId": "txn-1",
      "amount": 99.5
    }
  ],
  "tolerance": 0.01
}
```

# Actor output Schema

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

Analysis output rows.

## `summary` (type: `string`):

Counts and totals for the analysis.

# 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 = {
    "rows": [
        {
            "source": "ledger",
            "transactionId": "txn-1",
            "amount": 100
        },
        {
            "source": "bank",
            "transactionId": "txn-1",
            "amount": 99.5
        }
    ],
    "tolerance": 0.01
};

// Run the Actor and wait for it to finish
const run = await client.actor("alaudinburki/bank-statement-reconciler").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 = {
    "rows": [
        {
            "source": "ledger",
            "transactionId": "txn-1",
            "amount": 100,
        },
        {
            "source": "bank",
            "transactionId": "txn-1",
            "amount": 99.5,
        },
    ],
    "tolerance": 0.01,
}

# Run the Actor and wait for it to finish
run = client.actor("alaudinburki/bank-statement-reconciler").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 '{
  "rows": [
    {
      "source": "ledger",
      "transactionId": "txn-1",
      "amount": 100
    },
    {
      "source": "bank",
      "transactionId": "txn-1",
      "amount": 99.5
    }
  ],
  "tolerance": 0.01
}' |
apify call alaudinburki/bank-statement-reconciler --silent --output-dataset

```

## MCP server setup

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

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/o39nwjQNXpaN8wLgs/builds/7TP4kPexX5rfBrOP7/openapi.json