Collectors · Finance & crypto
LEI API in Python
LEI records from GLEIF — the global id for legal entities in finance. One POST from Python with query, rows back as JSON with 29 fields, $0.0004 per delivered entity. No proxies or parsers to maintain.

First call
Install, call, read the rows.
pip install requestsimport os, requests
r = requests.post(
"https://api.quanticdata.io/v1/scraper/collectors/gleif_lei/run",
headers={"Authorization": f"Bearer {os.environ['QD_API_KEY']}"},
json={
"query": "Apple Inc",
"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("lei"), row.get("legal_name"), row.get("status"), row.get("registration_status"))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.
| Parameter | Type | Required | Meaning |
|---|---|---|---|
query | string | yes | Legal name to search, or an exact 20-char LEI. |
country | string | no | Limit to entities whose legal address is in this country (ISO 3166-1 alpha-2). |
max_results | integer | no (default 25) | How many entities to deliver at most (1–100). You pay only for delivered entities. |
Response fields
29 fields per entity.
| Field | Type | What it holds |
|---|---|---|
rank | integer | 1-based position. |
lei | string | Legal Entity Identifier. |
legal_name | string, nullable | Legal name. |
status | string, nullable | Entity status (ACTIVE…). |
registration_status | string, nullable | LEI registration status (ISSUED, LAPSED…). |
legal_country | string, nullable | Legal address country. |
legal_city | string, nullable | Legal address city. |
hq_country | string, nullable | Headquarters country. |
legal_form | string, nullable | Legal form code. |
initial_registration | string, nullable | First LEI registration date. |
last_update | string, nullable | Last update date. |
url | string | GLEIF record URL. |
other_names | string[] | Trading, previous and transliterated names. |
legal_region | string, nullable | Region of the legal address (ISO 3166-2). |
legal_postal_code | string, nullable | Postal code of the legal address. |
legal_address | string, nullable | Legal address on one line. |
hq_city | string, nullable | Headquarters city. |
hq_address | string, nullable | Headquarters address on one line. |
jurisdiction | string, nullable | Jurisdiction of formation. |
legal_form_other | string, nullable | Legal form in words, when it has no ELF code. |
category | string, nullable | Entity category (GENERAL, FUND, BRANCH…). |
registered_as | string, nullable | National business-register number the LEI was validated against. |
registration_authority | string, nullable | Register that issued registered_as (GLEIF RA code). |
entity_created | string, nullable | Date the legal entity was formed. |
next_renewal | string, nullable | Next LEI renewal date. |
managing_lou | string, nullable | LEI of the issuing organisation. |
corroboration_level | string, nullable | How far the record was corroborated against the register. |
bic | string[] | BIC codes mapped to the entity. |
conformity_flag | string, nullable | GLEIF conformity flag. |
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/gleif_lei/run", headers=H,
json={**{"query":"Apple Inc","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"])Errors
What can come back, and what is billed.
| 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
$0.0004 per delivered entity.
| Rows | Cost |
|---|---|
| 1 | $0.0004 |
| 1,000 | $0.40 |
| 10,000 | $4.00 |
Up to 100 entities per run; split larger jobs into several runs. The $2 free credit every month covers about 5,000 entities. No subscription; paid tiers lower the unit price. All collector prices: collector pricing.
Before you run it
Questions developers ask
Is there a free Legal Entity Identifier (GLEIF) API?
Every account gets $2 of free usage each month, about 5,000 entities of this collector at $0.0004 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 100 entities 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. $0.0004 per delivered entity, no subscription.