Bankmonitor Scraper - Hungarian Financial Comparison
Pricing
Pay per usage
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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0.0
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Developer
Studio Amba
Maintained by CommunityActor stats
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Bookmarked
2
Total users
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
- Go to the Bankmonitor Scraper on Apify Store.
- Click Try for free to open the actor in Apify Console.
- Select a Category (Savings, Personal Loans, Mortgages, Credit Cards, or Insurance).
- Optionally enter a Search Query to filter results (e.g. "lakashitel", "szemelyi kolcson").
- Set Max Results to control how many financial products to scrape.
- Click Start and wait for the run to finish.
- 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:
| Field | Type | Description |
|---|---|---|
providerName | string | Bank or financial institution name (e.g. OTP, CIB, Erste) |
productName | string | Name of the financial product or offer |
category | string | Product category: savings, loans, mortgages, creditcards, or insurance |
interestRate | string | Nominal interest rate (kamat) as displayed |
apr | string | Annual Percentage Rate / THM (Teljes Hiteldij Mutato) |
monthlyPayment | number | Monthly payment amount in HUF |
totalRepayment | number | Total repayment amount in HUF |
loanAmount | number | Loan or deposit amount in HUF |
term | string | Product term (e.g. "5 ev", "60 honap") |
fees | string | Fee details (origination, management, processing) |
currency | string | Currency code (HUF) |
conditions | array | List of product conditions and requirements |
providerUrl | string | Direct link to provider's product page |
url | string | Bankmonitor source page URL |
scrapedAt | string | ISO 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
scrapedAttimestamp 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.