We collect B2B company data from Google Maps, business directories and industry catalogues - company name, category, address, website, phone, rating and review count - cleaned and deduplicated for your CRM. Our company data projects have delivered 30,000-35,000 Google Maps listings every weekday and 988,996 employer records from a public directory in one collection. A one-time list of up to 100,000 rows costs EUR 199; monthly plans start at EUR 169 and can deliver through our API or as a JSON feed.
Plans from €169/month · Free project assessment · Reply within 1 business day
Sales Managers and Account Executives
Recruiters and Talent Acquisition Specialists
Startup Founders and Entrepreneurs
Marketing Managers and Growth Strategists
Agency Owners and Consultants
E-commerce Sellers and Brand Owners
Real Estate Agents and Brokers
Investors and Venture Analysts
Freelancers and Independent Professionals
Developers
Customers worldwide
Pages extracted
Hours saved for our clients
Lead scraping turns public business listings into a prospect list you can work with: every company in a category and region, with its website, phone, address, rating and review count. Sales teams use it to build territory lists and prioritise accounts, agencies to find businesses without a website or with weak ratings, and data teams to enrich and refresh their CRM. We focus on company-level B2B data from public sources and deliver it cleaned, deduplicated and mapped to your CRM fields. In practice: 30,000-35,000 Google Maps listings every weekday across 1,000 US cities for a sales team, 988,996 employer records from a public directory, and 1,400 language schools and about 5,500 tattoo studio rows from Google Maps for directory websites. See all maps, directories and review sites we scrape.
Find new customers, companies, or partners that match your ideal client profile and keep your sales funnel full.
Find suppliers, online stores and distributors in your niche, with website, phone and rating, to expand your reach and increase sales.
List real estate agencies, property managers and building contractors by city, with website, phone, rating and review count.
Analyze industries, regions, or niches to spot demand, market gaps, or growing opportunities.
Find employers by industry and region, with website and phone, to offer staffing and hiring services to the right companies.
Track your competitors’ clients, partnerships, and outreach efforts to improve your own strategy.
Update and expand your CRM with verified company info, contact details, and new potential leads.
Build segmented company lists by category, region and rating, with websites, business phones and general company emails where published.
Map the companies in a sector and region by category, rating and review count to find investment or acquisition targets.
Each company becomes one record with its source listing, so you always know where a lead came from. Duplicates across sources are merged, and repeat runs flag new, closed and changed businesses. The common fields are below; each source adds its own.
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 →
A weekday feed of local businesses from Google Maps for a local-marketing company: 1,000 US cities, three keywords a day, files by 10:00 UTC.
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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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We get your lead data pipelines up and running in just a few days - no coding or internal effort needed.
Our scraper is designed to handle large volumes of lead data from dynamic, high-traffic websites - while maintaining speed and accuracy.
You always get your data on time. We monitor and maintain scraping processes to ensure stable, uninterrupted flow.
Forget the costs of in-house scraping. We deliver top-quality data at an affordable price, with no extra burden on your team.
We manage the entire scraping process for you - from setup to delivery - so you can focus on closing leads, not collecting them.
We deliver complete, verified datasets with accurate contact details, so your outreach is always targeted and effective.
Learn how to use web scraping to solve data problems for your organization
Where opinion text lives on the public web, what a review record contains on each kind of site, which fields a model needs besides the text, and what quietly breaks a sentiment dataset - with examples from our own projects.
Using web scraping to extract Google Maps data will help you quickly and efficiently find businesses in any industry, city, state, or region. And the extracted contact information, such as phone or email address, social networks, or links to web pages, will help to contact them.
Lead scraping is a reliable way to get the right customer contacts to market your product, saves organizations time, and helps you better understand the audience you want to attract. Contacts include emails, phone numbers, or social media profiles.
It is the automated collection of public business information - company names, categories, addresses, websites, phone numbers and ratings - from maps and business directories, turned into a structured prospect list. Instead of copying listings one by one, you get every company that matches your industry and location in one file.
Google Maps, Yelp, Yellow Pages, Clutch and national business directories and registers, plus industry catalogues and marketplaces where companies list their services. We combine several sources and merge duplicates into one list.
Yes. Company data such as names, addresses, websites and business phone numbers is generally not personal data. Data about individuals, including sole traders and named employees, is, so we collect it only where there is a lawful basis and a public business context, and we can exclude it entirely. We collect only publicly available data, without logging in, and we collect it legally.
No. We deliver company-level contacts published for business purposes, such as a general company email, website and phone. We do not harvest personal email addresses.
Yes. You choose categories, keywords, countries, cities or postcodes and minimum ratings or review counts, and we return only the matching businesses, deduplicated across sources.
Yes. We merge records from several sources, normalise addresses and phone formats, add the website, rating and review count, and map the output to your CRM fields, so the list imports without manual clean-up.
Each delivery is collected fresh. For ongoing lists we rerun weekly or monthly and flag new, closed and changed businesses, so your CRM stays current.
As CSV, Excel or JSON, by email, SFTP, Google Drive or Amazon S3, as a JSON feed, or through our API straight into your CRM. An MCP server is available on request.
A one-time lead list of up to 100,000 rows costs EUR 199 and is collected within 5 working days. Monthly plans start at EUR 169 a month for up to 250,000 rows, plus a one-off EUR 499 setup fee that includes the sample dataset and the first month; the price grows with the number of sources, the volume of companies and the refresh frequency. Project assessment is free.
Yes. We sign NDAs and data processing agreements before a project starts.
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
