Employer Data: 988,996 Unique Records from a Captcha-Gated Search
A one-time copy of a public employer directory for a US property-technology startup: 988,996 unique employers, collected through a captcha-gated search form.
Learn MoreScrapeIt (Scrapeit Sp. z o.o., Bialystok, Poland, since 2021) is a managed web scraping service, not a tool: we build, maintain and monitor the scrapers, and you get ready-to-use structured data from any website in 1-10 days. It arrives through our API, a JSON feed or as CSV, JSON and XLSX files, on plans from EUR 169 a month or EUR 199 for a one-time extract.
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ScrapeIt delivers custom web scraping solutions across industries - helping companies collect structured, reliable data at any scale. Below are examples of how our data scraping services support real business use cases.
Receive structured product data and content from any marketplace or online store, including prices, stock availability, SKUs, customer reviews, and any other data you need. We extract information from web pages of platforms like Amazon, eBay, Walmart, or any other e-commerce site you want to monitor.
You receive lists of properties for sale or rent with prices and addresses, details on agents and brokers, mortgage rate data, and new private listings as they appear. Sources include industry leaders like Zillow, Rightmove, Zoopla, and other platforms, as well as local MLS feeds.
Get data for lead generation and market research: company profiles, contact details of decision-makers, industry insights, and any other data points you require. We collect this info for your projects from platforms like Google Maps, Yelp, Yellow Pages, Trustpilot, and others.
Access the data you need for stock market research, sentiment analysis, and tracking economic indicators. We deliver fresh market data, historical stock prices, and analytical insights from SEC reports, the EDGAR database, and other internet sources such as Yahoo Finance, news articles, and financial forums.
We scrape data from Indeed, Glassdoor, Monster, and other job sites. Our site scraping service helps you monitor new job openings, analyze salary benchmarks, track hiring activity, and gain deeper insights into the job market using scalable web scraping solutions.
Get the data you need for healthcare and pharmaceutical market analysis. Our parsers collect lists of medical professionals, clinic addresses, and patient reviews, as well as data to monitor competitor pricing, analyze service or drug availability, and compare promotions and discounts.
Receive detailed listings for new and used vehicles, including prices, mileage, technical specifications, and dealer information. You also get photos, VINs, and any other data points you require. Platforms you can get this data from include mobile.de, AutoScout24, car.gr, and others.
Get up-to-date data on pricing and availability for hotels, flights, and vacation rentals. You also receive customer ratings, reviews, and any other information you require. Our web scraping company provides monitoring and data collection from leading platforms like Booking, Expedia, Tripadvisor, Kayak, Airbnb, and others.
Analyze the insurance market with structured data on your competitors. Track prices and offerings in the market. Receive data on rates, coverage details, and policy terms from insurance carrier websites and major platforms, powered by scalable web scraping services for market intelligence.
Expertly customized web scraping services at a fraction of the cost of developing your own software.
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Data helps you launch new marketplaces faster and with less risk.
Find and connect with potential clients using accurate company and contact data.
Train your models with large, high-quality datasets to improve performance.
Track competitors’ prices, product updates, and marketing strategies.
Analyze trends, customer behavior, and market demand.
Track emerging products, categories, and customer preferences early.
Expand your business, optimize processes, and make smarter decisions.
Save time and reduce manual work.
A one-time copy of a public employer directory for a US property-technology startup: 988,996 unique employers, collected through a captcha-gated search form.
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About 1.9 million auto parts listings from eBay.de with brand, OEM, EAN and fitment, plus titles and specs machine-translated for the client's team.
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A daily apartments.com feed for a US apartment locator: about 3,000 buildings from the client's own list, down to each unit's rent and floor plan.
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A one-time Housing.com collection for a real-estate company in India: project cards plus every photo and floor plan, uploaded straight to its cloud drive.
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Since 2022, weekly car rental and, from 2025, hotel prices from Booking.com for a tourism organization comparing its destination with rivals.
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A one-off Takealot product list for an entrepreneur choosing niches: only products rated 4 stars or higher with at least 50 reviews.
Learn MoreYou tell us what data needs to be collected and how often. Our team sets up and schedules the scraping in our cloud, monitors it around the clock, and delivers the data in a format that's convenient for you.
Get all your important data in days, not weeks. We set up the scraping without any code on your side.
Easily retrieve data at any scale from hundreds of millions of pages, even processing complex sites. Handle dynamic websites with ease.
We create and manage customized web data extraction solutions for your business needs, always delivering data in time.
We work fast and to high quality standards, on published plans from EUR 169 a month with scraper maintenance included, so you do not pay developers to keep scrapers running.
No need to figure out scraping by yourself and constantly investing in operations to ensure your ongoing web data needs are met. We'll do it for you.
Our complete and high-quality data sets bring success for companies in a variety of industries. We never neglect completeness and reliability of information.
Fresh field lists and delivery details. Pick a platform to see what we collect from it.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
Web scraping is an automated process for obtaining information from websites using software. A specially trained algorithm goes to the landing page of the site and starts crawling through all the internal links, collecting specified data. The extracted information is stored and structured for further processing and analysis.
We can deliver your data in CSV, Excel, JSON, JSONLines, or XML format via our API, a JSON feed, FTP, SFTP, AWS S3, Google Cloud Storage, email, Dropbox, or Google Drive. An MCP server is available on request. We can also accommodate other formats or delivery options if you have special requirements.
Each plan has a row limit: up to 100,000 rows on the one-time Airplane plan, and 250,000 (Helicopter), 500,000 (Helicopter Pro), 1,000,000 (Glasses), 1,500,000 (Glasses Pro), 2,000,000 (Microscope) or 3,000,000 rows (DNA) on the monthly plans. Rows above the limit cost EUR 7-12 per 100,000 depending on the plan, and anything above the largest plan is quoted individually.
We perform data mining across any type of website - from e-commerce and real estate platforms to financial sources and machine learning datasets. We collect everything a site shows publicly: only publicly available data, collected legally.
After receiving your request, we analyze your data needs and suggest the most efficient solution. We configure and manage scraping jobs in our cloud, maintain them for consistent quality, and share sample data for your review before full delivery.
We also monitor source websites for structural changes and adjust the scraping process whenever needed. As your project evolves, we help you tackle new data requirements that may arise along the way.
It all depends on the number of sites that need to be scraped and the technical characteristics. The setup and launch of the scraper usually take between 1 and 10 days.
Yes, we are always ready to help our customers with technical support as we know that you may encounter technical errors and so we will help you through all the stages of scraping without taking you away from your main activity.
No. The entire web scraping process runs on our cloud-based platform. We manage everything - from setting up proxies and connecting to target endpoints to processing data through our pipelines. All you need to do is share the sites you want to scrape and receive the final data files.
Our scraping architecture is scalable enough to handle large-scale web crawling from hundreds to thousands of websites.
Yes. We respect your personal information and try to keep it private and secure by signing a non-disclosure agreement (NDA).
We can collect data on an hourly, daily, weekly, or monthly basis to ensure you always have fresh information. The results are automatically delivered through our API, a JSON feed, email, FTP, Dropbox, or cloud storage. An MCP server is available on request.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
KRS: 0000996672
NIP: 5423457175
REGON: 523384582