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B2b Data List Provider

DATABASE ID: TECH-B2B- | RECORDS: 50,000 | LAST VERIFIED: TODAY
IDCompanyWebsiteKey ContactTitleVerified EmailIntent Score
00001Company 195 LLCwww.company1.comExec Name 1CEOexec1@company1.com97
00002Company 368 LLCwww.company2.comExec Name 2Founderexec2@company2.com95
00003Company 820 LLCwww.company3.comExec Name 3VP of Marketingexec3@company3.com96
00004Company 496 LLCwww.company4.comExec Name 4Founderexec4@company4.com86
00005Company 248 LLCwww.company5.comExec Name 5CEOexec5@company5.com86
00006Company 81 LLCwww.company6.comExec Name 6VP of Marketing••••••••••••@••••.com87
00007Company 635 LLCwww.company7.comExec Name 7CEO••••••••••••@••••.com96
00008Company 945 LLCwww.company8.comExec Name 8Founder••••••••••••@••••.com94
00009Company 809 LLCwww.company9.comExec Name 9VP of Marketing••••••••••••@••••.com96
00010Company 982 LLCwww.company10.comExec Name 10Founder••••••••••••@••••.com90
00011Company 827 LLCwww.company11.comExec Name 11CEO••••••••••••@••••.com90
00012Company 104 LLCwww.company12.comExec Name 12VP of Marketing••••••••••••@••••.com87
00013Company 262 LLCwww.company13.comExec Name 13CEO••••••••••••@••••.com96
00014Company 761 LLCwww.company14.comExec Name 14Founder••••••••••••@••••.com84
00015Company 919 LLCwww.company15.comExec Name 15VP of Marketing••••••••••••@••••.com82
00016Company 896 LLCwww.company16.comExec Name 16Founder••••••••••••@••••.com89
00017Company 659 LLCwww.company17.comExec Name 17CEO••••••••••••@••••.com94
00018Company 93 LLCwww.company18.comExec Name 18VP of Marketing••••••••••••@••••.com84
00019Company 794 LLCwww.company19.comExec Name 19CEO••••••••••••@••••.com85
00020Company 959 LLCwww.company20.comExec Name 20Founder••••••••••••@••••.com97
00021Company 158 LLCwww.company21.comExec Name 21VP of Marketing••••••••••••@••••.com91
00022Company 740 LLCwww.company22.comExec Name 22Founder••••••••••••@••••.com93
00023Company 554 LLCwww.company23.comExec Name 23CEO••••••••••••@••••.com80
00024Company 250 LLCwww.company24.comExec Name 24VP of Marketing••••••••••••@••••.com80
00025Company 183 LLCwww.company25.comExec Name 25CEO••••••••••••@••••.com89
00026Company 540 LLCwww.company26.comExec Name 26Founder••••••••••••@••••.com84
00027Company 144 LLCwww.company27.comExec Name 27VP of Marketing••••••••••••@••••.com96
00028Company 967 LLCwww.company28.comExec Name 28Founder••••••••••••@••••.com87
00029Company 634 LLCwww.company29.comExec Name 29CEO••••••••••••@••••.com90
00030Company 914 LLCwww.company30.comExec Name 30VP of Marketing••••••••••••@••••.com91
00031Company 405 LLCwww.company31.comExec Name 31CEO••••••••••••@••••.com98
00032Company 553 LLCwww.company32.comExec Name 32Founder••••••••••••@••••.com86
00033Company 482 LLCwww.company33.comExec Name 33VP of Marketing••••••••••••@••••.com85
00034Company 635 LLCwww.company34.comExec Name 34Founder••••••••••••@••••.com98
00035Company 735 LLCwww.company35.comExec Name 35CEO••••••••••••@••••.com94
00036Company 11 LLCwww.company36.comExec Name 36VP of Marketing••••••••••••@••••.com86
00037Company 727 LLCwww.company37.comExec Name 37CEO••••••••••••@••••.com80
00038Company 300 LLCwww.company38.comExec Name 38Founder••••••••••••@••••.com90
00039Company 343 LLCwww.company39.comExec Name 39VP of Marketing••••••••••••@••••.com92
00040Company 853 LLCwww.company40.comExec Name 40Founder••••••••••••@••••.com80
00041Company 832 LLCwww.company41.comExec Name 41CEO••••••••••••@••••.com88
00042Company 420 LLCwww.company42.comExec Name 42VP of Marketing••••••••••••@••••.com92
00043Company 336 LLCwww.company43.comExec Name 43CEO••••••••••••@••••.com96
00044Company 382 LLCwww.company44.comExec Name 44Founder••••••••••••@••••.com93
00045Company 192 LLCwww.company45.comExec Name 45VP of Marketing••••••••••••@••••.com91
00046Company 866 LLCwww.company46.comExec Name 46Founder••••••••••••@••••.com87
00047Company 945 LLCwww.company47.comExec Name 47CEO••••••••••••@••••.com94
00048Company 730 LLCwww.company48.comExec Name 48VP of Marketing••••••••••••@••••.com90
00049Company 631 LLCwww.company49.comExec Name 49CEO••••••••••••@••••.com83
00050Company 62 LLCwww.company50.comExec Name 50Founder••••••••••••@••••.com80
[ 49,950 ROWS LOCKED ]
>_ SYSTEM.ANALYSIS.LOG_

We thought scraping this would be easy. Turns out the biggest data providers are all behind Cloudflare and require rotating proxies. We spent weeks figuring out the exact header order to get past their bot detection. Finally cracked it and pulled 2M records from public business registries, job boards, and company websites. No more relying on those stupid paid lists that are 40% stale.

The hardest part wasn't the scraping, it was deduplication and enrichment. Same company appears as 'Acme Inc' and 'Acme Incorporated'. We built a fuzzy matching pipeline that runs nightly and merges duplicates. Also appended employee count and revenue estimates from a separate dataset. The result is a clean CSV with 10 fields that actually matter for sales.

We get asked why we don't offer a dashboard or API. Because you want raw data, right? We export a CSV with no filters, no bells. You want to query it? Load it into your own DB. We're not a SaaS platform. We're a data factory. That's it. If you need more than 1M rows, we'll send a compressed file. Deal.

Data Schema & Dictionary

company_name

The legal name of the business. We've merged obvious duplicates, so you won't get 'Acme Inc' and 'Acme Incorporated' as separate rows. Sales reps should use this to personalize the first line of an email.

domain

The official website domain, normalized to lowercase without 'www'. This is gold for finding the company's tech stack or pulling a direct contact via another tool. If it's blank, the company is likely dead or too small to have a site.

industry

SIC code mapped to a readable label like 'Manufacturing' or 'Software'. We didn't invent a taxonomy—it's standard SIC. If your CRM expects a different format, you'll have to map it yourself.

employee_count

Estimated number of employees, bucketized into ranges (1-10, 11-50, etc). We use a model based on company size signals. It's not exact, but it's good enough to filter out micro-businesses if you're selling enterprise software.

revenue_range

Estimated annual revenue in USD, also bucketed. Again, an estimate. If you need exact numbers, you'll have to buy a financial dataset. But for lead scoring, this works.

location

A string like 'Austin, TX' or 'London, UK'. We geocode the address from public records. It's handy for regional sales teams or events.

phone

Main office phone number, if publicly listed. Expect a lot of dead numbers because companies change numbers and don't update their websites. We scrape fresh each month, but still.

email_pattern

The pattern of email addresses used by that company, e.g., 'firstname.lastname' or 'firstinitiallastname'. This is a godsend for email outreach—you can guess any employee's email with high confidence.

founded_year

Year the company was founded. Useful for identifying older, more stable businesses or younger startups that might be more agile. We pulled this from business registries, so it's reliable.

last_verified

Timestamp of when we last scraped and verified this record. We re-scrape the whole list monthly, so this is always within 30 days. If you need fresher data, you'll need to buy a subscription, but we don't offer that—this is a one-time snapshot.

Frequently Asked Questions

How fresh is this data?
We scrape it on the 1st of every month. If you buy today, you get the latest snapshot. If a record bounces or is wrong, tell us within 30 days and we'll swap it for a valid one. After that, you're on your own.
Why is the employee count an estimate?
Because no one publishes exact headcounts for every company. We use a model that predicts based on signals like LinkedIn size, website traffic, and public filings. It's accurate within a bucket 80% of the time. If you need exact numbers, go buy a government dataset—good luck.
Can I get a sample before buying?
Sure, we'll send you 100 rows from your target industry or region. No email gate, just a direct download link. If you like it, pay up. If not, delete it. We're not running a marketing funnel here.
What format is the data delivered in?
A plain CSV file, UTF-8 encoded, with headers. No Excel macros, no hidden sheets. If you need JSON or Parquet, we can do that for an extra fee. But the base product is CSV—that's what you asked for.
Do you offer a subscription or API?
No. This is a one-time purchase. You get the data, it's yours forever. We don't do monthly billing or rate limits. If you want updates, you buy the next snapshot when it's released. That keeps our prices low and your life simple.

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