Bank Statement API Integration — Any Bank, Any Country

Bank Statement API Integration — Any Bank, Any Country

Every bank uses a different PDF format. Some use column-based tables, others prefer row-based layouts. Instead of building and maintaining manual templates, use Bank Statement Parser API to process any format automatically.

Why Template-Free?

With template-based tools, when a format changes:

• All output breaks
• Manual update is required
• Your workflow stops

Bank Statement Parser API analyzes the PDF's structure. It adapts automatically as formats evolve.

Python Quick Start

import requests

resp = requests.post(
    "https://api.bank-statement-parser.clkr.work/extract",
    headers={"X-Api-Key": "pex_your_api_key"},
    files={"file": open("statement.pdf", "rb")}
)

data = resp.json()
print(f"Format: {data['bankKey']}")
print(f"Pages: {data['pageCount']}")
print(f"Transactions: {len(data['transactions'])}")

for txn in data["transactions"]:
    print(f"{txn['date']} | {txn['description'][:40]:40} | {txn['amount']:>10.2f}")

Process All Statements in Bulk

import os, requests, pandas as pd

def process_all_statements(folder: str, api_key: str) -> pd.DataFrame:
    all_transactions = []

    for filename in os.listdir(folder):
        if not filename.endswith(".pdf"):
            continue

        resp = requests.post(
            "https://api.bank-statement-parser.clkr.work/extract",
            headers={"X-Api-Key": api_key},
            files={"file": open(f"{filename}", "rb")}
        )
        data = resp.json()
        format_key = data.get("bankKey", "unknown")

        for txn in data.get("transactions", []):
            txn["format"] = format_key
            txn["source"] = filename
            all_transactions.append(txn)

        print(f"✓ {filename}: {format_key} — {len(data.get('transactions', []))} transactions")

    return pd.DataFrame(all_transactions)

df = process_all_statements("./statements", "pex_your_api_key")
df.to_excel("all_transactions.xlsx", index=False)
print(f"Total: {len(df)} transactions from {df['format'].nunique()} formats")

Unknown Format — Automatic Learning

When the API encounters a format it hasn't seen before:

resp = requests.post(
    "https://api.bank-statement-parser.clkr.work/extract",
    headers={"X-Api-Key": "pex_your_api_key"},
    files={"file": open("new_format.pdf", "rb")}
)

if resp.status_code == 202:
    data = resp.json()
    print(f"Queue ID: {data['queueId']}")
    print("Format is being analyzed — usually ready within 30 minutes")
elif resp.status_code == 200:
    print(f"Processed: {resp.json()['bankKey']}")

Free Tier

100 pages/month free, no credit card. [Sign up →](https://bank-statement-parser.clkr.work/en/register)