Files

The free dataset and the shared Parquet file of every LinkedIn profile fetched through iBlinked.

curl https://idle.datacircle.dev/files/ -H "Authorization: Token $DATACIRCLE_API_KEY"

Each file has a rank (its tier), row_count, size_bytes, sha256, created_at, and allowed, which says whether this workspace may download it. row_count and sha256 are null when we have not measured that file (today: sha256 on both US datasets, row_count on large):

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	3 people you invited signed up, or your workspace bought $50 of credit
sample	the first 1,000 rows of today’s profile file	everyone
full	every public LinkedIn profile anyone fetched through iBlinked, as one Parquet file (Up2Data calls are not in it yet)	3 people you invited signed up, or your workspace bought $50 of credit

A new sample and full file is published from time to time. Each one is a full snapshot of everything so far, so GET /files/ lists only the newest file of each rank.

curl -X POST https://idle.datacircle.dev/files/$FILE_ID/download-link/ \
  -H "Authorization: Token $DATACIRCLE_API_KEY"

Returns a download url valid for one hour, or 403 if the file is not unlocked for this workspace.

Invites

curl https://idle.datacircle.dev/me/invites/ -H "Authorization: Token $DATACIRCLE_API_KEY"

Returns your invite_link, how many people you invited have signed_up (verified their work email), and how many are needed (3). Send the link; once 3 have signed up, large and full unlock for you.

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")