Free U.S. B2B leads dataset: 9.5M people, 1.75M companies
Datacircle gives away its 10M+ U.S. B2B dataset: 9,521,154 people and 1,748,139 companies, at U.S. businesses of 11 to 500 employees. Names, titles, LinkedIn profiles, work emails and mobile phones, joined to each company's website, industry, size and headquarters.
One download, free with a work email: a 2.3 GB zip of two Parquet files. No API calls, no pagination, no rate limits.
Download it
Sign up with your work email; the dataset is on your dashboard with a download button. Or from the API, with the key on that same dashboard: GET /files/ lists it as us_10m, and its download link is valid for one hour.
curl https://api.datacircle.dev/files/ -H "Authorization: Token $DATACIRCLE_API_KEY"
curl -X POST https://api.datacircle.dev/files/$FILE_ID/download-link/ \
-H "Authorization: Token $DATACIRCLE_API_KEY"import pandas as pd
companies = pd.read_parquet("us_smb_mid_market_companies.parquet")
people = pd.read_parquet("us_smb_mid_market_persons.parquet")
leads = people.merge(companies, left_on="CURRENT_JOB_COMPANY_LINKEDIN_ID", right_on="LINKEDIN_ID", suffixes=("", "_COMPANY"))What the free plans of Apollo, Lusha, Hunter and others give a month, next to this file: free B2B database. A leads list cut by state, industry and title in one DuckDB query, with what it gives: build a free B2B leads list with SQL.
The people: 9,521,154 rows
Every column, with its fill rate in the October 2026 release. A field is filled only where we have it: nothing is guessed.
| Field | Type | Nullable | Fill rate | Description |
|---|---|---|---|---|
FIRST_NAME |
String | No | 100% | First name (validated: no digits, 1–50 chars) |
LAST_NAME |
String | No | 100% | Last name (1–50 chars) |
FULL_NAME |
String | No | 100% | Full name |
ABOUT |
String | Yes | 27.97% | LinkedIn about/summary section |
PROFILE_PIC_URL |
String | No | 100% | URL to profile picture |
LINKEDIN_URL |
String | No | 100% | Full LinkedIn profile URL (https://www.linkedin.com/in/...) |
LINKEDIN_ID |
String | No | 100% | Unique LinkedIn numeric ID (all digits, 1–15 chars) |
HEADLINE |
String | No | 100% | LinkedIn headline |
CONNECTIONS_COUNT |
UInt32 | No | 100% | Number of LinkedIn connections (capped at 500) |
MOBILE_PHONE |
String | Yes | 42.18% | Mobile phone number (US format: starts with +1, 10+ digits) |
CITY |
String | No | 100% | City of residence |
STATE_CODE |
String | No | 100% | US state code (e.g. CA) |
STATE_NAME |
String | No | 100% | US state name (e.g. California) |
CURRENT_JOB_TITLE |
String | No | 100% | Current job title (1–200 chars, acronyms normalized: VP, SVP, EVP, RN, LPN, CNA, HVAC) |
CURRENT_JOB_DESCRIPTION |
String | Yes | 10.35% | Current job description |
CURRENT_JOB_START_DATE |
Date32 | Yes | 58.91% | When the current job started (validated: 1950–today) |
CURRENT_JOB_CITY |
String | Yes | 23.14% | City of current job |
CURRENT_JOB_STATE |
String | Yes | 23.99% | State name of current job |
CURRENT_JOB_STATE_CODE |
String | Yes | 23.99% | State code of current job |
CURRENT_JOB_COMPANY_LINKEDIN_ID |
String | No | 100% | LinkedIn ID of current employer (foreign key to company table) |
EMAIL |
String | Yes | 29.31% | Email address (validated format, lowercase, domain has dot) |
EMAIL_VALIDATED_AT |
DateTime | Yes | 29.31% | When the email was last verified |
UPDATED_AT |
DateTime | No | 100% | When the record was last refreshed |
The companies: 1,748,139 rows
US companies with a claimed LinkedIn page and 11 to 500 employees (6,700,867 in the 50M+ dataset, every size). How they split by state, industry and size: the free list of US companies.
| Field | Type | Nullable | Fill rate | Description |
|---|---|---|---|---|
LINKEDIN_ID |
String | No | 100% | Unique LinkedIn numeric ID for the company |
LINKEDIN_URL |
String | No | 100% | Full LinkedIn company page URL (https://www.linkedin.com/company/...) |
NAME |
String | No | 100% | Company name (acronyms normalized: LLC, PLLC, LLP, DBA, HVAC, USA) |
HEADLINE |
String | Yes | 43.26% | Company tagline/headline from LinkedIn |
ABOUT |
String | Yes | 64.21% | Company description/about section |
FOUNDED |
UInt16 | Yes | 46.46% | Year the company was founded (validated: 1600–current year) |
LOGO_URL |
String | No | 100% | URL to company logo image |
LINKEDIN_FOLLOWERS |
UInt32 | No | 100% | Number of LinkedIn followers |
IS_CLAIMED_PAGE |
Bool | No | 100% | Whether the LinkedIn page is claimed (always true - unclaimed pages are filtered out) |
EMPLOYEE_COUNT_RANGE |
String | No | 100% | Employee count bucket. 10M+ dataset values: 11-50, 51-200, 201-500 |
HQ_CITY |
String | Yes | 74.80% | Headquarters city |
HQ_STATE_CODE |
String | Yes | 73.14% | Headquarters US state code (e.g. CA, NY) |
HQ_STATE_NAME |
String | No | 72.94% | Headquarters US state name (e.g. California, New York). Empty string when unknown. |
HQ_POSTCODE |
String | Yes | 58.48% | Headquarters postal/zip code |
HQ_STREET |
String | Yes | 54.17% | Headquarters street address |
LINKEDIN_INDUSTRY |
String | Yes | 91.34% | LinkedIn industry classification |
TYPE |
String | Yes | 64.58% | Entity type: Privately Held, Public Company, Partnership, Self-Owned |
URL |
String | Yes | 79.47% | Company website URL |
UPDATED_AT |
DateTime | No | 100% | When the record was last refreshed |
US B2B contacts by state
The 50M+ dataset's 43,598,308 people by the state on their profile, with how many have a work email and a mobile phone in its October 2026 release: 27.09% and 42.88% overall. The free 10M+ dataset holds 9,521,154 people at companies of 11 to 500 employees; all 43,598,308 unlock once 3 people you invited sign up. Counted from the file itself.
| State | People | With a work email | With a mobile |
|---|---|---|---|
| California | 5,021,053 | 1,337,074 | 2,070,036 |
| Texas | 4,038,324 | 1,071,081 | 1,671,818 |
| Florida | 2,907,942 | 734,462 | 1,233,349 |
| New York | 2,852,255 | 837,784 | 1,146,991 |
| Illinois | 1,726,922 | 514,369 | 778,344 |
| Pennsylvania | 1,691,305 | 477,087 | 753,227 |
| Ohio | 1,605,350 | 432,568 | 725,825 |
| North Carolina | 1,489,572 | 411,503 | 643,860 |
| Georgia | 1,480,858 | 372,902 | 613,394 |
| Michigan | 1,330,136 | 380,085 | 609,760 |
| Virginia | 1,188,994 | 285,684 | 505,004 |
| Washington | 1,084,802 | 307,910 | 463,686 |
| Massachusetts | 1,081,975 | 367,095 | 475,716 |
| New Jersey | 974,662 | 257,889 | 405,926 |
| Arizona | 968,323 | 250,399 | 406,623 |
| Colorado | 950,798 | 287,446 | 408,532 |
| Tennessee | 882,158 | 223,848 | 372,131 |
| Indiana | 845,767 | 223,684 | 380,913 |
| Maryland | 823,160 | 202,292 | 364,514 |
| Minnesota | 787,528 | 250,981 | 389,880 |
| Missouri | 784,076 | 210,496 | 344,727 |
| Wisconsin | 766,436 | 238,727 | 371,030 |
| South Carolina | 637,186 | 155,977 | 267,942 |
| Oregon | 550,236 | 168,411 | 246,672 |
| Alabama | 532,507 | 114,615 | 222,057 |
| Kansas | 505,493 | 101,136 | 194,023 |
| Utah | 504,200 | 152,095 | 219,292 |
| Louisiana | 474,672 | 115,604 | 207,286 |
| Kentucky | 459,254 | 106,984 | 192,302 |
| Oklahoma | 455,226 | 108,220 | 194,430 |
| District of Columbia | 452,736 | 153,914 | 195,930 |
| Connecticut | 450,886 | 127,912 | 206,125 |
| Nevada | 409,527 | 82,809 | 165,640 |
| Iowa | 352,818 | 100,732 | 162,300 |
| Arkansas | 297,377 | 73,085 | 127,921 |
| Nebraska | 266,678 | 75,558 | 123,014 |
| Mississippi | 237,858 | 45,908 | 95,128 |
| Idaho | 213,927 | 58,458 | 95,295 |
| New Mexico | 196,654 | 43,427 | 80,351 |
| New Hampshire | 165,698 | 48,909 | 74,219 |
| Maine | 153,698 | 47,151 | 68,138 |
| Rhode Island | 148,641 | 41,771 | 66,910 |
| West Virginia | 138,688 | 28,203 | 54,270 |
| Hawaii | 123,584 | 26,453 | 49,196 |
| Delaware | 121,162 | 31,854 | 53,592 |
| Montana | 103,295 | 28,525 | 44,208 |
| South Dakota | 82,664 | 23,674 | 37,162 |
| Alaska | 75,557 | 16,592 | 30,153 |
| North Dakota | 75,480 | 21,689 | 32,305 |
| Vermont | 69,848 | 21,521 | 30,586 |
| Wyoming | 60,362 | 14,410 | 24,904 |
The companies the same way, by state, industry and size: the free list of US companies.
Ready-made lists
Want a niche, already cut? Our free lists come from the 50M+ dataset, one CSV each:
- Founders and CEOs of US software companies (11-1,000 employees)
- Sales leaders of US B2B companies (11-500 employees)
- Talent and people leaders of US companies (51-500 employees)
- Owners of US marketing, advertising and PR agencies (11-1,000 employees)
- Finance leaders of US companies (51-1,000 employees)
- IT leaders of US companies (51-1,000 employees)
- Marketing leaders of US B2B companies (11-500 employees)
Every field of both datasets: Dataset fields in the docs.
Questions
Is there a free B2B database I can download?
This one: a US B2B database of 9.5M people and 1.75M companies, free to download whole with a work email, as two Parquet files you can load into DuckDB, pandas, Postgres or a warehouse. No API calls, no export limits.
Is the US B2B leads dataset really free?
Yes, for everyone who signs up with a work email: the whole dataset, in one download, no API calls, no pagination, no rate limits. Freemail addresses are refused at sign-up.
What format is it in?
A 2.3 GB zip of two Parquet files, us_smb_mid_market_companies.parquet and us_smb_mid_market_persons.parquet. Join people to companies on CURRENT_JOB_COMPANY_LINKEDIN_ID = LINKEDIN_ID. pandas, DuckDB, Spark and most warehouses read Parquet directly.
Can I download a free list of US companies?
Yes: the companies table holds 1,748,139 US companies of 11 to 500 employees, with their LinkedIn page, website, industry, headquarters address, founding year and employee range.
How many have an email or a phone number?
29.31% of the people have an email (validated format, with the date it was last verified) and 42.18% a US mobile phone, in the October 2026 release. A field is filled only where we have it: nothing is guessed.
Is there a bigger dataset?
The 50M+ US dataset: 43.6M people and 6.7M companies, a 9.6 GB zip. It unlocks once 3 people you invited sign up.
Sign up with your work email: your API key and a $5 credit that never expires are on your dashboard, with the free 10M+ U.S. B2B leads dataset.
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