Collectors · Jobs
Indeed jobs API in Python
Indeed listings with structured salary ranges, per market. One POST from Python with query, rows back as JSON with 30 fields, $0.001 per delivered job. 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/indeed_jobs/run",
headers={"Authorization": f"Bearer {os.environ['QD_API_KEY']}"},
json={
"query": "data engineer",
"location": "New York",
"country": "us",
"max_results": 50,
},
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("job_key"), row.get("title"), row.get("company"), row.get("location"))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 | Job title or keywords, e.g. "data engineer". |
location | string | no | City, state or postcode, e.g. "New York". |
posted_within_days | integer | no | Only listings posted in the last N days (1–30). |
country | string | no | ISO 3166-1 alpha-2 code — picks the local site AND the proxy exit (default us). |
max_results | integer | no (default 25) | How many jobs to deliver at most (1–300). You pay only for delivered jobs. |
Response fields
30 fields per job.
| Field | Type | What it holds |
|---|---|---|
rank | integer | 1-based position across pages. |
job_key | string | Indeed job key (dedupe key). |
title | string | Job title. |
company | string, nullable | Employer. |
location | string, nullable | Location as shown. |
remote | string, nullable | Remote model (REMOTE, REMOTE_HYBRID…). |
salary | string, nullable | Salary as a readable string. |
salary_min | number, nullable | Salary range minimum. |
salary_max | number, nullable | Salary range maximum. |
salary_period | string, nullable | yearly / monthly / hourly. |
job_types | string[] | Employment types when tagged. |
posted | string, nullable | Posting age ("11 days ago"). |
snippet | string, nullable | Listing summary, HTML stripped. |
company_rating | number, nullable | Employer rating on Indeed. |
company_reviews | integer, nullable | Employer review count. |
sponsored | boolean | True for paid placements. |
link | string | Listing URL. |
posted_at | string, nullable | Publication date (YYYY-MM-DD). |
salary_text | string, nullable | Salary as Indeed prints it ("$175,000 - $260,000 a year"). |
salary_currency | string, nullable | ISO currency of the salary (USD, EUR, GBP…). |
city | string, nullable | Job city. |
state | string, nullable | State / region code. |
postal_code | string, nullable | Postal code when the listing states one. |
benefits | string[] | Benefits the employer tagged (health insurance, 401(k), paid time off…). |
schedules | string[] | Schedule and shift tags (Monday to Friday, 8 hour shift…). |
requirements | string[] | Skills and requirements listed on the card (SQL, Python, AWS…). |
company_url | string, nullable | Employer page on Indeed. |
easy_apply | boolean | True when the listing accepts an application on Indeed. |
urgently_hiring | boolean | True when the employer marked the role as urgent. |
new_job | boolean | True when Indeed flags the listing as new. |
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/indeed_jobs/run", headers=H,
json={**{"query":"data engineer","location":"New York","country":"us","max_results":50}, "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
$0.001 per delivered job.
| Rows | Cost |
|---|---|
| 1 | $0.001 |
| 1,000 | $1.00 |
| 10,000 | $10.00 |
Up to 300 jobs per run; split larger jobs into several runs. The $2 free credit every month covers about 2,000 jobs. No subscription; paid tiers lower the unit price. All collector prices: collector pricing.
Before you run it
Questions developers ask
Is there a free Indeed jobs API?
Every account gets $2 of free usage each month, about 2,000 jobs 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 300 jobs 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 job, no subscription.