We configure a phone number scraper for your niche. We collect business phone numbers from websites, directories, listings, and maps. Every number is normalized to a single format, cleaned of duplicates, and matched to a company. The result is a call-ready list for your sales team and call center, not a pile of digits. We do not collect consumer phone numbers.
The phone is still the main B2B sales channel. A ready-made call list determines how fast you reach the market.
A call list for your niche and region: numbers with company name, category, and address. Scripts get personalized from the company profile.
Reach every location in a category and region: from stores to service shops. Numbers for talks with future partners.
Refresh phone numbers in your customer database: outdated numbers get updated, closed businesses get flagged.
Contact databases for client projects without hunting for numbers across websites by hand.
Three formats to fit the task: a one-time export, scheduled data delivery, or a custom solution. Pricing depends on sources, volume, and frequency. You get a quote before we start.
A phone database for a niche and region, built once: to launch a calling campaign or test a hypothesis.
The database lives and grows: new companies and numbers in your niche arrive as scheduled deltas.
Turnkey data as a service: API access, DaaS, or a ready-made interface, dozens of sources, and an SLA.
How much does a phone number scraper cost? The price is built from clear factors: from the number of sources to the size of the database. We send a quote and a data sample before work starts.
Describe your niche, regions, and target number count, and we'll come back with a cost estimate, timeline, and a sample database within one business day.
A phone number scraper is a program that crawls open sources and collects business phone numbers into a database. The sources: directories, listings, maps, and company websites. The output is not just a list of numbers but company profiles with name, address, and category.
What does the word "scraping" mean? The term describes automatically reading web pages and extracting the data you need from the HTML code: text, links, prices, contacts. What is a scraper in plain terms? A robot that reads websites instead of a human and files the information into a spreadsheet. What a scraper means for business: speed and completeness of collection. All you do is define the niche and parameters. Manual research across websites is no longer needed.
Why scraping beats manual research:
We start from organizations, not from random numbers. Everything begins with a company list. The process looks like this:
Then comes normalization. All numbers are converted to a single international format. The type is detected automatically: landline, mobile, or a chain's central line. Where sources conflict, fresher data wins. A number confirmed by several sources at once makes the record more reliable.
Every number is stored with its source: a link to the page where it was found. Every contact in the database has a transparent origin.
A note on scope: full company profiles are collected by business listing scraping, while locations and contacts from maps are extracted by Google Maps scraping.
Yes. The database includes landline and mobile numbers that companies themselves have published online. The type is stored in a separate field. Your dialer and call center get clear labels: who to call first.
We never build databases of private individuals' mobile numbers in any form. We don't touch the personal phones of social network and messenger users: that's personal data.
There are three options: buy a ready-made list, build one by hand, or order scraping to spec.
We work the third way: the database is built to the terms of your request. You can also hand us your own list of sites: send the links and we'll do the rest. No detailed technical brief is required; a short task description in the request form is enough.
Scrapers differ in how they're built:
Off-the-shelf tools help with a small one-off job. Then the complications start: source lists, dynamic websites, anti-bot protection, deduplication, maintenance. Anything non-standard means writing code. Our service covers the job end to end: setup, collection, verification, and support all on our side. Nothing to install.
Most often Python: it has the largest ecosystem of scraping libraries. JavaScript, PHP, Go, and C# work too. For the client, the language is secondary: sources, database quality, and timelines matter more. Development stays with the professionals; you won't have to write your own scraper.
There's no demo in the usual sense: the scraper is configured for your task, not sold in a box. The role of a demo is played by a free sample database for your niche. It shows the field set, number format, and data quality. We send the sample before any payment.
The finished database drops into your dialer or CRM: we map the fields for import. Results arrive as a file, a feed, or via API. Matching numbers to companies enables script personalization. Call statistics link back to the database by organization ID.
What that gives sales:
For CRM teams we solve the pain of outdated contacts. We check your customer database against live sources, update the numbers, and flag closed businesses. In projects like these, up to a third of the numbers get updated. Missing profile fields are filled in by data enrichment.
A note on the service's scope. We don't do the calling: calls, scripts, and SMS stay with your call center. Emails and proposals to the same companies are best sent using an email database: email scraping builds it. Phone and email databases are often ordered together.
We collect the contact details of companies, not people. Our approach to scraping is simple: only open business data, no personal data collection.
A database like this is safe for your company's reputation and its partners'.
We've been collecting data on companies and markets since 2015: more than a decade of scraping experience. The fastest way to judge the quality: a free sample for your niche. Describe the task in the request form and we'll reply within one business day.
We've been collecting company and market data since 2015. The database's core strengths: clean, complete, and current.
Every phone number is tied to an organization. The database is ready for calling and analytics, not anonymous.
Normalization to a single format plus number typing. Your dialer takes the database with zero prep.
Deduplication that accounts for branches and chains' shared lines. No repeat calls.
Only numbers organizations publish themselves. We don't collect personal data.
A transparent process: a quote and a sample database before work starts. No hidden rates, no surprises.
Name your niche, regions, and target number count.
A sample database and an exact price before work starts.
The scraper crawls the sources. Numbers are normalized to a single format and cleaned of duplicates.
The database in your format. Subscriptions include regular refreshes.
The result is a call-ready database, built for sales teams and call centers. No cleanup on your side.
Numbers matched to companies: name, address, category, number type.
What was normalized and filtered: formats, duplicates, branches, stale numbers.
CSV, Excel, JSON, or API. Fields mapped to CRMs and dialers.
Scheduled number updates plus flags for closed businesses.
A phone scraper covers only part of working with company contacts. We'll build the adjacent capabilities for your task.
If you don't see the answer you need, send a request: we reply within one business day.
Open sources only: directories, listings, maps, and pages on companies' own websites. We collect where the organization itself posted numbers for customers to call. Origin is transparent: every number carries a link to its source page.
Businesses only. We collect the phone numbers companies publish for their customers. We don't collect the contacts of private individuals or any personal data. We have no consumer number databases in any form.
Yes. Numbers are cross-checked between sources, and fresher data wins. With a subscription, the database is refreshed regularly: stale numbers and closed businesses get flagged.
A single international format or your own template. Number type in a separate field: landline, mobile, central line. Next to each number: company name, address, category, website. Export to CSV, Excel, JSON, or via API.
Prices start at $150. The final cost depends on the number of sources, database size, update frequency, and field set (see the factor breakdown above). We send an exact quote and a sample free of charge before work starts.
The term covers two jobs. The first: building a company database from scratch from open sources. The second: running an existing database through the scraper to refresh the data. We do both: we collect numbers for a niche and update your CRM. In refresh projects, up to a third of the numbers get updated. Missing profile fields are filled in by data enrichment.
Collecting publicly available information is not prohibited by law. A scraper fetches the same pages any site visitor sees. What matters is how the data is collected and how the results are used. We don't bypass logins or paywalls, we comply with privacy laws such as GDPR and CCPA, we throttle request rates, and we work under a contract.
We don't touch private sellers' phone numbers: that's personal data. The listings themselves we do collect as data: prices, descriptions, posting dynamics. That's a separate service: classifieds scraping.
No, calling is outside the service's scope. We prepare the database: numbers, segments, fields for your dialer and CRM. The calls stay with your call center. For emails and proposals to the same companies, there's email scraping.