Jobs by Technology — Tech Hiring Leads

Find companies hiring by tech stack and turn job postings into B2B hiring signals. Search technologies such as Snowflake, SAP, Salesforce, or Kubernetes in an index of 5.4M+ active job postings from 71K+ companies across 243 countries and 65 ATS platforms, refreshed every 24 hours.

No scraping happens during your run. The Actor queries the maintained Nivult index with your technology and other filters. Use it for technology-focused lead generation, account research, recruiter sourcing, competitor analysis, and hiring-demand monitoring.

Quick start

Paste this input into the Actor console for a small Snowflake sample:

{
  "tipo": "jobs",
  "technology": "Snowflake",
  "country": "US",
  "q": "",
  "seniority": "",
  "remote": "",
  "dal": "2026-10-01",
  "limite": 10
}

Or call the Actor through Apify. Replace APIFY_TOKEN with your own token:

curl --request POST \
  --url 'https://api.apify.com/v2/acts/nivult~jobs-by-technology/run-sync-get-dataset-items?token=APIFY_TOKEN' \
  --header 'Content-Type: application/json' \
  --data '{"tipo":"jobs","technology":"Snowflake","country":"US","limite":10}'

Other targeting examples:

{
  "tipo": "jobs",
  "technology": "SAP",
  "country": "DE",
  "seniority": "senior",
  "limite": 10
}

{
  "tipo": "jobs",
  "technology": "Salesforce",
  "remote": "remote",
  "limite": 10
}

Input

Field	Type	Default	Description
tipo	string	jobs	jobs returns matching postings; companies returns the employers behind them.
country	string	empty	ISO 3166-1 alpha-2 code, such as IT, DE, or US; empty means worldwide.
technology	string	empty	Technology found in posting text. The console prefill is Snowflake.
q	string	empty	Additional keyword search in job titles and descriptions, or in company records in company mode.
seniority	string	empty	intern, junior, mid, senior, lead, or head; empty includes all values. Jobs only.
remote	string	empty	remote, hybrid, or onsite; empty includes all values. Jobs only.
dal	string	empty	ISO date YYYY-MM-DD; returns postings dated on or after this date. Jobs only.
limite	integer	100	Maximum rows, from 1 to 10,000. The console prefill is 10 for a quick sample.

In company mode, country, technology, and q apply. Job-only filters are ignored.

Company mode for tech-stack lead lists

Return one employer record per company instead of individual postings:

{
  "tipo": "companies",
  "technology": "Snowflake",
  "country": "US",
  "limite": 10
}

Use this mode to build account lists of employers with matching hiring activity. Company attributes are optional and vary by employer; the company output structure is the same as in the Global actor.

Job output

Selected fields from an existing Snowflake-matching job record, with unrelated optional fields omitted:

{
  "title": "Delivery Manager - Data Analytics Spread & Commissions",
  "company": "Careers Allegisgroup",
  "ats": "icims",
  "country": "US",
  "city": "Hanover",
  "skills": ["python", "sql", "aws", "azure", "gcp", "etl", "scrum", "agile", "project management", "warehouse", "snowflake", "unstructured data", "use logical reasoning"],
  "posted_at": "2026-10-06",
  "url": "https://careers-allegisgroup.icims.com/jobs/2384/delivery-manager---data-analytics-spread-%26-commissions/job"
}

Each job row includes its ATS and source URL. first_seen and last_seen are normally present. Enriched fields are optional and may be omitted or empty when unavailable. Download the default dataset as JSON, CSV, or Excel, or consume it through the Apify API.

Pricing

You pay only for rows returned, whether they are jobs or company records.

Rows returned	Dataset-item cost
100	$0.30
1,000	$3.00
10,000	$30.00

An empty result costs $0 in dataset-item charges. A full 10,000-row result costs $30 in dataset-item charges; the standard Actor Start event may also apply.

Coverage, dates, and limits

Current coverage across the overall index is shown below. It varies by source and filtered slice; these figures are not a promise that every row contains every field.

Field	Rows covered
description	96.3%
language	92.3%
category	97.4%
country	89.1%
skills	63.7%
employment_type	82.3%
seniority	64.1%
remote	65.0%
technologies	43.4%
Observed salary	20.1%
Estimated salary	0.0%
job_sources	1.9%

Technology extraction currently covers 43.4% of the overall index, so a missing technology value does not prove that a posting does not mention that stack. Salary estimates are not currently populated; observed salary information is available only on part of the index. Provenance and enrichment are not guaranteed on every row or field.

Posting dates can be estimated when a source does not expose an exact publication date, so posted_at and the dal filter may use an estimated date. Refresh cycles deduplicate records and update the active index; a run does not rescrape or re-enrich rows on demand.

A single run returns at most 10,000 rows. For larger slices, a recurring technology feed, or a daily export, contact hello@nivult.com.

Explore the Nivult family

• Global Job Postings API — ATS Dataset
• Workday Jobs API — Global ATS Dataset
• Greenhouse Jobs API — Global ATS Dataset

Questions, feedback, and custom feed requests: hello@nivult.com.