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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.

A Python requests snippet that posts {
A Python requests call to the indeed_jobs collector returns one dict per job, 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/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"))
Python: one Indeed jobs run (Data engineer NY), printing job_key, title, company, 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.

Input of the Indeed jobs collector
ParameterTypeRequiredMeaning
querystringyesJob title or keywords, e.g. "data engineer".
locationstringnoCity, state or postcode, e.g. "New York".
posted_within_daysintegernoOnly listings posted in the last N days (1–30).
countrystringnoISO 3166-1 alpha-2 code — picks the local site AND the proxy exit (default us).
max_resultsintegerno (default 25)How many jobs to deliver at most (1–300). You pay only for delivered jobs.

Response fields

30 fields per job.

Fields of each row (job)
FieldTypeWhat it holds
rankinteger1-based position across pages.
job_keystringIndeed job key (dedupe key).
titlestringJob title.
companystring, nullableEmployer.
locationstring, nullableLocation as shown.
remotestring, nullableRemote model (REMOTE, REMOTE_HYBRID…).
salarystring, nullableSalary as a readable string.
salary_minnumber, nullableSalary range minimum.
salary_maxnumber, nullableSalary range maximum.
salary_periodstring, nullableyearly / monthly / hourly.
job_typesstring[]Employment types when tagged.
postedstring, nullablePosting age ("11 days ago").
snippetstring, nullableListing summary, HTML stripped.
company_ratingnumber, nullableEmployer rating on Indeed.
company_reviewsinteger, nullableEmployer review count.
sponsoredbooleanTrue for paid placements.
linkstringListing URL.
posted_atstring, nullablePublication date (YYYY-MM-DD).
salary_textstring, nullableSalary as Indeed prints it ("$175,000 - $260,000 a year").
salary_currencystring, nullableISO currency of the salary (USD, EUR, GBP…).
citystring, nullableJob city.
statestring, nullableState / region code.
postal_codestring, nullablePostal code when the listing states one.
benefitsstring[]Benefits the employer tagged (health insurance, 401(k), paid time off…).
schedulesstring[]Schedule and shift tags (Monday to Friday, 8 hour shift…).
requirementsstring[]Skills and requirements listed on the card (SQL, Python, AWS…).
company_urlstring, nullableEmployer page on Indeed.
easy_applybooleanTrue when the listing accepts an application on Indeed.
urgently_hiringbooleanTrue when the employer marked the role as urgent.
new_jobbooleanTrue 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"])
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 job.

What Indeed jobs rows cost at list price
RowsCost
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.