PredictLeads / Discover companies by location and size (basic)
PredictLeads tool predictleads-discover-companies on looot: input fields, $0.01 per result, output shape, and code to run it with curl, JavaScript or Python.
Returns a list of companies filtered by their location and size, ordered by last updated date. NOTE: This endpoint returns an estimated count of all results.
- Tool id:
predictleads-discover-companies - Provider: PredictLeads
- Job: Find companies matching a filter (
company.search) - Price: $0.01 per result. A call that fails at the provider costs $0.
Inputs
| Name | Type | Required | Description |
|---|---|---|---|
industry |
string | no | The response will include only companies that work in the given industry. Example: “Retail” |
limit |
integer | no | Limit the number of shown items per page. |
location |
string | no | The response will include only results in the given country name or state name/abbreviation. Example: “United States” |
naics_codes |
array | no | One or more valid NAICS codes as a comma-separated string (e.g. param=val1,val2) or as array parameters (e.g. param[]=val1¶m[]=val2). |
page |
integer | no | Page number of shown items. NOTE: If the parameter is not provided, the meta property count will be omitted from response for performance reasons. |
revenue_range_high |
integer | no | The response will include only companies with revenue lower or equal than the given number. Example: 100000000 |
revenue_range_low |
integer | no | The response will include only companies with revenue equal or higher than the given number. Example: 1000000 |
sizes |
array | no | One or more valid company sizes as a comma-separated string (e.g. param=val1,val2) or as array parameters (e.g. param[]=val1¶m[]=val2). |
Output
Shape of the run’s result, the expected shape, not yet checked against real answers:
{ data: { id, type, attributes: { domain, ticker, language, location, meta_title, description, company_name, location_data: unknown[], meta_description, description_short, friendly_company_name, last_extraction_states: unknown[] }, relationships: { redirects_to: { ... }, parent_company: { ... }, similar_companies: { ... }, subsidiary_companies: { ... } } }[], meta: { record_state, schema_version }, included: unknown[] }
Run it
Every call needs your API token in LOOOT_TOKEN; Sign in shows how to get one. Each run also needs a new idempotency key, so a retry never pays twice. With wait: 30 the answer comes back inline when the run ends within 30 seconds. Otherwise you get the running run back: poll GET /v1/runs/<runId>.
Example input with placeholder values:
curl -X POST "https://api.looot.ai/v1/runs" \
-H "Authorization: Bearer $LOOOT_TOKEN" \
-H "Content-Type: application/json" \
-H "Idempotency-Key: $(uuidgen)" \
-d '{"endpointId":"predictleads-discover-companies","input":{"industry":"Retail","location":"United States","revenue_range_low":1000000,"revenue_range_high":100000000},"wait":30}'const response = await fetch("https://api.looot.ai/v1/runs", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.LOOOT_TOKEN}`,
"Content-Type": "application/json",
"Idempotency-Key": crypto.randomUUID(),
},
body: JSON.stringify({
endpointId: "predictleads-discover-companies",
input: {
industry: "Retail",
location: "United States",
revenue_range_low: 1000000,
revenue_range_high: 100000000,
},
wait: 30,
}),
});
const run = await response.json();
console.log(run.status, run.result);import os
import uuid
import requests
response = requests.post(
"https://api.looot.ai/v1/runs",
headers={
"Authorization": f"Bearer {os.environ['LOOOT_TOKEN']}",
"Idempotency-Key": str(uuid.uuid4()),
},
json={
"endpointId": "predictleads-discover-companies",
"input": {
"industry": "Retail",
"location": "United States",
"revenue_range_low": 1000000,
"revenue_range_high": 100000000,
},
"wait": 30,
},
timeout=90,
)
run = response.json()
print(run["status"], run.get("result"))To let looot pick among every provider of this job instead, send job:company.search as endpointId; see the job page.