Bankmonitor Scraper - Hungarian Financial Comparison avatar

Bankmonitor Scraper - Hungarian Financial Comparison

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Bankmonitor Scraper - Hungarian Financial Comparison

Bankmonitor Scraper - Hungarian Financial Comparison

Scrape financial comparison data from Bankmonitor.hu, Hungary's leading financial comparison platform. Extract loan offers, mortgage rates, savings accounts, credit cards, and insurance products with interest rates, monthly payments, fees, and conditions from 50+ banks. No login or cookies required.

Pricing

Pay per usage

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Developer

Studio Amba

Studio Amba

Maintained by Community

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2

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1

Monthly active users

2 days ago

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Bankmonitor Scraper

Scrape financial comparison data from Bankmonitor.hu, Hungary's leading financial comparison platform. Extract personal loan offers, mortgage rates, savings accounts, credit cards, and insurance products with interest rates, APR, monthly payments, fees, and conditions from 50+ Hungarian banks and financial institutions.

No login or cookies required.

How to scrape Bankmonitor data

  1. Go to the Bankmonitor Scraper on Apify Store.
  2. Click Try for free to open the actor in Apify Console.
  3. Select a Category (Savings, Personal Loans, Mortgages, Credit Cards, or Insurance).
  4. Optionally enter a Search Query to filter results (e.g. "lakashitel", "szemelyi kolcson").
  5. Set Max Results to control how many financial products to scrape.
  6. Click Start and wait for the run to finish.
  7. Download your data in JSON, CSV, Excel, or any other supported format.

What data can you extract from Bankmonitor?

This scraper extracts structured financial comparison data across all major Bankmonitor categories:

Savings & Deposits (Megtakaritas)

  • Fixed-term deposit rates from Hungarian banks
  • Government bond (allampapir) yields and conditions
  • Retirement savings (nyugdij-megtakaritas) plans
  • Investment fund comparisons

Personal Loans (Szemelyi Kolcson)

  • Interest rates and APR (THM) from OTP, CIB, Erste, K&H, MBH, Raiffeisen, UniCredit
  • Monthly payment calculations for different loan amounts
  • Eligibility requirements and income thresholds
  • Origination fees and processing conditions
  • Baby loan (babavaro hitel) offers with state subsidies

Mortgages (Lakashitel)

  • Fixed and variable mortgage rates
  • Monthly payment comparisons across banks
  • Total repayment amounts over full term
  • Down payment requirements and property conditions
  • CSOK and Otthon Start government program rates

Credit Cards & Bank Accounts (Hitelkartya)

  • Monthly account maintenance fees
  • Card fees and transaction costs
  • ATM withdrawal limits and charges
  • Online banking features
  • Free account options

Insurance (Biztositas)

  • Life insurance (eletbiztositas) premiums
  • Home insurance (lakasbiztositas) coverage and pricing
  • Health insurance options
  • Group insurance products

Output fields

Each scraped financial product contains the following fields:

FieldTypeDescription
providerNamestringBank or financial institution name (e.g. OTP, CIB, Erste)
productNamestringName of the financial product or offer
categorystringProduct category: savings, loans, mortgages, creditcards, or insurance
interestRatestringNominal interest rate (kamat) as displayed
aprstringAnnual Percentage Rate / THM (Teljes Hiteldij Mutato)
monthlyPaymentnumberMonthly payment amount in HUF
totalRepaymentnumberTotal repayment amount in HUF
loanAmountnumberLoan or deposit amount in HUF
termstringProduct term (e.g. "5 ev", "60 honap")
feesstringFee details (origination, management, processing)
currencystringCurrency code (HUF)
conditionsarrayList of product conditions and requirements
providerUrlstringDirect link to provider's product page
urlstringBankmonitor source page URL
scrapedAtstringISO 8601 timestamp of data collection

Example output

{
"providerName": "OTP",
"productName": "OTP Szemelyi Kolcson",
"category": "loans",
"interestRate": "14,99%",
"apr": "15,83%",
"monthlyPayment": 89500,
"totalRepayment": 6285000,
"loanAmount": 5000000,
"term": "7 ev",
"fees": "dijmentes online igenylesnel",
"currency": "HUF",
"conditions": [
"Minimum havi netto jovedelem: 154 000 Ft",
"Minimum eletkor: 21 ev",
"Legalabb 6 honap munkaviszony"
],
"providerUrl": "https://www.otpbank.hu/portal/hu/Megtakaritasok/SzemelyiKolcson",
"url": "https://bankmonitor.hu/otp/szemelyi-kolcson/",
"scrapedAt": "2026-06-09T12:00:00.000Z"
}

Hungarian financial comparison data use cases

  • Rate monitoring -- Track interest rate changes across Hungarian banks over time
  • Market research -- Analyze the Hungarian consumer finance landscape and competitive positioning
  • Lead generation -- Identify the most competitive offers for financial advisory services
  • Regulatory analysis -- Monitor THM (APR) trends for compliance and reporting
  • Content creation -- Build data-driven financial comparison content for Hungarian audiences
  • Investment research -- Track savings and deposit rates to optimize cash allocation
  • Fintech development -- Feed real-time Hungarian bank data into financial applications

Proxy configuration

Bankmonitor.hu is a Hungarian website. For best results, use residential proxies with Hungarian IP addresses. The default configuration uses Apify residential proxies with HU country targeting.

Datacenter proxies may work but could be blocked. If you experience issues, switch to residential proxies.

Supported banks

The scraper extracts data from all banks listed on Bankmonitor.hu, including:

  • OTP Bank (Hungary's largest bank)
  • CIB Bank (Intesa Sanpaolo group)
  • Erste Bank Hungary
  • K&H Bank (KBC group)
  • MBH Bank (merged from Budapest Bank, MKB, Takarekbank)
  • Raiffeisen Bank Hungary
  • UniCredit Bank Hungary
  • Granit Bank
  • MagNet Bank
  • Cofidis Hungary
  • And more as listed on the platform

Limitations

  • Bankmonitor.hu uses dynamic calculators that generate personalized results. The scraper extracts data from both static content pages and calculator result pages with default parameters.
  • Some financial products require specific input parameters (loan amount, income, term) to display results. The scraper uses the site's default values.
  • Interest rates and product availability change frequently. Always check the scrapedAt timestamp for data freshness.
  • Insurance products may have limited structured data compared to loan and savings categories.

Cost of usage

The actor uses Playwright with residential proxies. A typical run scraping 20 products across one category costs approximately $0.10-0.30 in platform credits depending on the number of pages visited and proxy usage.