Hiring.Cafe Jobs Scraper: how to get the data as JSON/CSV (API, Python, no code)

Q: How do I use the Hiring.Cafe Jobs Scraper from Python?

Install the apify-client package, create a client with your Apify API token, call the Actor v0iddo/hiring-cafe-scraper with an input like the one above, and read the rows from the run's dataset. The Python snippet above does exactly that.

Q: How do I limit the number of results?

Set the maxItems input field to the number of results you need; the run stops there, so it also caps the cost of one run. You can also set a maximum cost for a run in the run options on Apify, and the run stops when it is reached.

Scrape job listings from Hiring.Cafe: title, company, location, workplace type, seniority, job category, technical tools, requirements summary, visa sponsorship, and apply link. This guide shows the output fields, a working input, and Python, JavaScript and cURL code for the Actor v0iddo/hiring-cafe-scraper on Apify.

Open Hiring.Cafe Jobs Scraper on Apify

What data you get

One row per result. Every row can be downloaded as JSON, CSV, Excel or HTML, or read through the API.

Field	Label	Type	Example
`jobTitle`	Job Title	text	Part-Time Manager
`companyName`	Company	text	Claire's
`location`	Location	text	Clarksburg, Maryland, United States
`workplaceType`	Workplace Type	text	Onsite
`seniorityLevel`	Seniority	text	Mid Level
`employmentType`	Employment Type	text	Part Time
`jobCategory`	Job Category	text	Sales
`technicalTools`	Technical Tools	list	["POS system"]
`applyUrl`	Apply URL	URL	https://secure5.saashr.com/ta/clairesstores.careers?ShowJob=553985921
`url`	Listing URL	URL	https://hiringcafe.com/jobs/saoeij8jz9n947na
`yearlySalaryMin`		number	37440
`yearlySalaryMax`		number	38792
`requirementsSummary`		text	At least one year of retail management experience; ability to condu...
`visaSponsorship`		true/false	false
`indexedAt`		text	2026-11-02T11:20:15.485018450Z
`source`		text	saashr
`requisitionId`		text	saoeij8jz9n947na

Input example

This is the input that is pre-filled on the Actor page. Change the values for your own run.

{
  "keyword": "software engineer",
  "maxItems": 20
}

Input field	Type	What it does
`keyword`	string	Job title or keyword to search for, e.g.
`location`	string	City, state, or country to filter by, e.g.
`workplaceType`	string	Keep only listings of this workplace type.
`seniorityLevel`	string	Keep only listings at this seniority level.
`maxItems`	integer	The run stops after this many result rows.

Output sample

Real rows from a run of the Actor. Fields that name people are left out of the sample.

[
  {
    "jobTitle": "Part-Time Manager",
    "companyName": "Claire's",
    "location": "Clarksburg, Maryland, United States",
    "workplaceType": "Onsite",
    "seniorityLevel": "Mid Level",
    "employmentType": "Part Time",
    "yearlySalaryMin": 37440,
    "yearlySalaryMax": 38792,
    "jobCategory": "Sales",
    "technicalTools": [
      "POS system"
    ],
    "requirementsSummary": "At least one year of retail management experience; ability to conduct piercings; POS system proficiency; some high school; physical abili...",
    "visaSponsorship": false,
    "applyUrl": "https://secure5.saashr.com/ta/clairesstores.careers?ShowJob=553985921",
    "indexedAt": "2026-11-02T11:20:15.485018450Z",
    "url": "https://hiringcafe.com/jobs/saoeij8jz9n947na",
    "source": "saashr",
    "requisitionId": "saoeij8jz9n947na"
  },
  {
    "jobTitle": "Sioux Falls Area Nurse",
    "companyName": "Homecare Services of South Dakota",
    "location": "Sioux Falls, South Dakota, United States",
    "workplaceType": "Field",
    "seniorityLevel": "Entry Level",
    "employmentType": "Contract",
    "yearlySalaryMin": 69680,
    "yearlySalaryMax": 75920,
    "jobCategory": "Healthcare Services - Nursing",
    "requirementsSummary": "RN or LPN license required.",
    "visaSponsorship": false,
    "applyUrl": "https://www.homecareservicessd.com/careers/#09B92ktn85a8O439",
    "indexedAt": "2026-11-02T10:32:50.370125373Z",
    "url": "https://hiringcafe.com/jobs/q220klg8tnqvmu50",
    "source": "adhoc",
    "requisitionId": "q220klg8tnqvmu50"
  }
]

Code: Python, JavaScript and cURL

Get your API token in Apify Console under Settings, then Integrations. The Actor id is v0iddo/hiring-cafe-scraper.

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {'keyword': 'software engineer', 'maxItems': 20}

run = client.actor("v0iddo/hiring-cafe-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const input = {
  "keyword": "software engineer",
  "maxItems": 20
};

const run = await client.actor('v0iddo/hiring-cafe-scraper').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

cURL

curl -X POST "https://api.apify.com/v2/acts/v0iddo~hiring-cafe-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keyword": "software engineer", "maxItems": 20}'

Price

$1.00 per 1,000 results. You pay per result row. There is no separate charge per run. Higher Apify plans pay less per result, down to $0.70 per 1,000. See the pricing tab for your plan. A new Apify account gets $5 of platform credit every month.

Good to know

Each request returns up to ~110 server-side-rendered listings. Passing a keyword causes the site to pre-filter results server-side; leaving it blank fetches the default recent-jobs feed.
Salary figures are included when disclosed by the employer; many listings carry no salary data. Workplace type and seniority filters are applied client-side after fetching.
The site surfaces jobs sourced directly from employer career pages across dozens of ATS platforms (Greenhouse, Lever, Workday, and others).
Not affiliated with Hiring.Cafe or Vasona Technologies, Inc.

FAQ

What data does the Hiring.Cafe Jobs Scraper return?

Each result is one row in an Apify dataset. Fields include jobTitle, companyName, location, workplaceType, seniorityLevel, employmentType, jobCategory, technicalTools, and more. The table above shows every field with an example value.

How do I use the Hiring.Cafe Jobs Scraper from Python?

Install the apify-client package, create a client with your Apify API token, call the Actor v0iddo/hiring-cafe-scraper with an input like the one above, and read the rows from the run's dataset. The Python snippet above does exactly that.

Can I use it without writing code?

Yes. Open the Actor page on Apify, fill in the input form (an example is already filled in), press Start, and download the results as JSON, CSV, Excel or HTML. You can also schedule runs there.

How much does it cost?

$1.00 per 1,000 results. You pay per result row. There is no separate charge per run. Higher Apify plans pay less per result, down to $0.70 per 1,000. A new Apify account gets $5 of platform credit every month.

How do I limit the number of results?

Set the maxItems input field to the number of results you need; the run stops there, so it also caps the cost of one run. You can also set a maximum cost for a run in the run options on Apify, and the run stops when it is reached.

Can I send the results to Google Sheets, Make, Zapier or n8n?

Yes. Apify datasets connect to Google Sheets, Slack, Make, Zapier and n8n, and a webhook can call your own service when a run finishes. You can also export the dataset as JSON, CSV or Excel.

Open Hiring.Cafe Jobs Scraper on Apify

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