Collectors · Company data

LinkedIn company scraper API in Python

Public LinkedIn company page — employees, followers, industry, HQ. One POST from Python with companies, rows back as JSON with 19 fields, $0.005 per delivered company. No proxies or parsers to maintain.

Get an API key See the collector

A Python requests snippet that posts companies to the linkedin_company collector, a line-drawn page titled LinkedIn company, and a white card with the fields slug, name, description, website and industry, at $0.005 per company ($5.00 per 1,000). — A Python requests call to the linkedin_company collector returns one dict per company, at $0.005 each.

First call

Install, call, read the rows.

pip install requests

The only dependency.

import os, requests

r = requests.post(
    "https://api.quanticdata.io/v1/scraper/collectors/linkedin_company/run",
    headers={"Authorization": f"Bearer {os.environ['QD_API_KEY']}"},
    json={
        "companies": ["microsoft","openai"],
        "max_results": 10,
    },
    timeout=120,
)
r.raise_for_status()
run = r.json()["payload"]
print(run["count"], "rows,", run["cost"]["usd"], "USD")
for row in run["results"]:
    print(row.get("slug"), row.get("name"), row.get("description"), row.get("website"))

Python: one LinkedIn company run (Due aziende), printing slug, name, description, website

The key comes from an environment variable, never from the code. The run answers in the same request when it finishes in time; payload.results holds the rows and payload.cost what they cost.

Request parameters

What the collector takes.

Input of the LinkedIn company collector
Parameter	Type	Required	Meaning
`companies`	array	yes	Company slugs (microsoft) or /company/ URLs, one per line.
`country`	string	no	ISO 3166-1 alpha-2 code — proxy exit geo and Google locale (gl). Omit for the default pool.
`max_results`	integer	no (default 10)	How many companies to deliver at most (1–50). You pay only for delivered companies.

Response fields

19 fields per company.

Fields of each row (company)
Field	Type	What it holds
`slug`	string	Company slug.
`name`	string	Company name.
`description`	string, nullable	About text (trimmed).
`website`	string, nullable	Company website, always as a full URL.
`industry`	string, nullable	Industry as shown.
`employees`	integer, nullable	Employee count published on the page.
`followers`	integer, nullable	LinkedIn follower count.
`street`	string, nullable	HQ street.
`city`	string, nullable	HQ city.
`region`	string, nullable	HQ region/state.
`postal_code`	string, nullable	HQ postal code.
`country`	string, nullable	HQ country.
`logo`	string, nullable	Logo URL.
`url`	string	Company page URL.
`company_size`	string, nullable	Size band as LinkedIn states it ("10,001+ employees").
`company_type`	string, nullable	Public Company, Privately Held, Nonprofit…
`founded`	integer, nullable	Founding year when the page states one.
`specialties`	string[]	Specialties listed on the page.
`headquarters`	string, nullable	Headquarters line as shown ("Redmond, Washington").

Add ?format=csv to the runs endpoint to get the same rows as CSV.

Long runs

Run in the background, then poll.

A run that needs more time can go to the background: send "async": true, get 202 with the run id, and poll the runs endpoint until the status is done. Reading a run is free.

import os, time, requests

H = {"Authorization": f"Bearer {os.environ['QD_API_KEY']}"}
r = requests.post("https://api.quanticdata.io/v1/scraper/collectors/linkedin_company/run", headers=H,
                  json={**{"companies":["microsoft","openai"],"max_results":10}, "async": True}, timeout=30)
run_id = r.json()["payload"]["run_id"]
while True:
    run = requests.get(f"https://api.quanticdata.io/v1/scraper/collectors/runs/{run_id}", headers=H, timeout=30).json()["payload"]
    if run["status"] in ("done", "failed"):
        break
    time.sleep(5)
print(run["status"], run["count"])

Python: background run and polling

Errors

What can come back, and what is billed.

Collector run errors
Status	Meaning	Billed
`400`	The input does not match the collector (`payload.errors`)	No
`401`	Missing or wrong API key	No
`402`	Balance and free credit do not cover the run: top up	No
`422`	The input can never resolve; retrying the same input cannot help	No
`424`	The run failed at the source (blocked, timed out, layout changed); safe to retry	No
`429`	Rate limit or a per-account brake; wait for `Retry-After`	No

Only delivered rows are billed: a run that delivers nothing costs nothing.

Price

$0.005 per delivered company.

What LinkedIn company rows cost at list price
Rows	Cost
1	$0.005
1,000	$5.00
10,000	$50.00

Up to 50 companies per run; split larger jobs into several runs. The $2 free credit every month covers about 400 companies. No subscription; paid tiers lower the unit price. All collector prices: collector pricing.

Before you run it

Questions developers ask

Is there a free LinkedIn company API?

Every account gets $2 of free usage each month, about 400 companies of this collector at $0.005 each, with no card.

Do I have to handle proxies, retries or blocks?

No. The collector runs on our network and handles them; a run blocked at the source returns 424 and is not billed.

How many rows can one run return?

Up to 50 companies per run (the max_results input, where the collector has one).

Can an AI agent run it?

Yes: the MCP server exposes it as the run_collector tool, with the same input and price. See the MCP server.

Run it on the free credit.

Create an API key, export it as QD_API_KEY and run the example. $0.005 per delivered company, no subscription.

Get an API key LinkedIn company scraper API