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Collectors · Lead generation

Business directory API in Python

Businesses listed in Italian directories for a category and a place — the small ones Google misses. One POST from Python with query and location, rows back as JSON with 20 fields, $0.001 per delivered business. No proxies or parsers to maintain.

A Python requests snippet that posts {
A Python requests call to the business_directory collector returns one dict per business, at $0.001 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/business_directory/run",
    headers={"Authorization": f"Bearer {os.environ['QD_API_KEY']}"},
    json={
        "query": "<query>",
        "location": "<location>",
    },
    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("name"), row.get("category"), row.get("address"), row.get("street"))
Python: one Business directory run, printing name, category, address, street

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 Business directory collector
ParameterTypeRequiredMeaning
querystringyesWhat the businesses do, as the directory categorises it — e.g. "autonoleggio", "dentista", "idraulico".
locationstringyesComune or quartiere — e.g. "Milano", "Milano Quartiere Affori", "Monza".
sourcesarraynoWhich directories to read (default paginegialle). Pagine Bianche is best-effort: it refuses repeated requests more often.
only_with_phonebooleannoDrop and do not bill businesses with no published phone number.
countrystringnoISO 3166-1 alpha-2 code — proxy exit geo and Google locale (gl). Omit for the default pool.
max_resultsintegernoHow many businesses to deliver at most (1–100). You pay only for delivered businesses.

Response fields

20 fields per business.

Fields of each row (business)
FieldTypeWhat it holds
rankinteger1-based position in the merged result set.
namestringBusiness name as listed.
categorystring, nullableThe directory's own category for the business.
addressstring, nullableFull printed address.
streetstring, nullableStreet and number.
postal_codestring, nullableCAP.
citystring, nullableComune.
provincestring, nullableTwo-letter province code.
phonestring, nullableFirst published phone number.
phonesstring[]Every phone number on the listing.
descriptionstring, nullableBlurb the business published on the listing, when it has one.
profile_urlstring, nullableThe directory page for this business.
sourcestringWhich directory delivered the row.
source_idstring, nullableThe directory's own id — a stable dedup key.
websitestring, nullableThe business's own website, when the listing links one.
whatsappstring, nullableWhatsApp contact as https://wa.me/<number>, when the listing has the button.
reviewsinteger, nullableReview count shown next to the stars.
opening_hoursstring[], nullableWeekly hours from the listing, one entry per opening range: "Mo 09:00 - 13:00", "Mo 14:00 - 19:00".
sponsoredbooleanTrue for the placements the directory marks as suggested.
listing_typestring, nullable"paid", "free" or "self" — the kind of listing the business holds on the directory.

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/business_directory/run", headers=H,
                  json={**{"query":"<query>","location":"<location>"}, "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
StatusMeaningBilled
400The input does not match the collector (payload.errors)No
401Missing or wrong API keyNo
402Balance and free credit do not cover the run: top upNo
422The input can never resolve; retrying the same input cannot helpNo
424The run failed at the source (blocked, timed out, layout changed); safe to retryNo
429Rate limit or a per-account brake; wait for Retry-AfterNo

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

Price

$0.001 per delivered business.

What Business directory rows cost at list price
RowsCost
1$0.001
1,000$1.00
10,000$10.00

Up to 100 businesses per run; split larger jobs into several runs. The $2 free credit every month covers about 2,000 businesses. No subscription; paid tiers lower the unit price. All collector prices: collector pricing.

Before you run it

Questions developers ask

Is there a free Business directory API?

Every account gets $2 of free usage each month, about 2,000 businesses of this collector at $0.001 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 businesses 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. $0.001 per delivered business, no subscription.