Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
The free dataset and the daily Parquet file of every profile fetched through Datacircle.
curl https://api.datacircle.dev/files/ -H "Authorization: Token $DATACIRCLE_API_KEY"
rank (its tier), row_count, size_bytes, sha256, created_at, and allowed, which says whether this workspace may download it:
| Tier | What | Who |
|---|---|---|
free | the 10M+ US B2B leads dataset: a 2.8 GB zip of two Parquet files, 11.1M people and 1.75M companies | everyone |
large | the 50M+ US B2B dataset: an 11.9 GB zip of person_us.parquet and company_us.parquet | workspaces that bought $50 of credit |
sample | the first 1,000 rows of today’s profile file | everyone |
full | every public profile anyone fetched through Datacircle, as one Parquet file | workspaces that bought $50 of credit |
curl -X POST https://api.datacircle.dev/files/$FILE_ID/download-link/ \
-H "Authorization: Token $DATACIRCLE_API_KEY"
url valid for one hour, or 403 if the file is not unlocked for this workspace.
The file only holds public LinkedIn profile fields. It never contains who fetched what, emails of Datacircle users, costs or any credential.
import pandas as pd
profiles = pd.read_parquet("linkedin_profiles_full.parquet")