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Hiring Signals & Technographics From Job Postings

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from $13.00 / 1,000 company returneds

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Hiring Signals & Technographics From Job Postings

Hiring Signals & Technographics From Job Postings

Find B2B leads from live job postings: companies hiring for any role or naming a tool like Salesforce, Snowflake or HubSpot. Company-level data with no personal contact details.

Pricing

from $13.00 / 1,000 company returneds

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Velavalapalli Mohana Durga Sai Ram

Velavalapalli Mohana Durga Sai Ram

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What does Hiring Signals & Technographics do?

Find companies that are ready to buy, using what they say in their own job postings. Search live postings for roles they are hiring and tools they name, and get back one clean record per company: how many matching roles, how many are new this week, which technologies they mention, and links to the evidence. The index covers about 19,000 companies and is refreshed daily.

It works as a hiring signals API and a technographics API in one, and it returns company-level data only, with no personal contact details. That makes it a clean first step for your own enrichment workflow.

Why use Hiring Signals & Technographics?

  • Hiring for a function means budget. A company hiring three SDRs is building a sales team and needs sales tools.
  • Postings name the real stack. "Experience with Snowflake and dbt" tells you what a data team uses today. Back-office tools rarely appear on a homepage, so job posts often reveal more than a website scan.
  • Timing is built in. Posting dates show who started hiring this week, not who matched a static list last year.
  • One row per company. Matching roles, technologies, seniority, countries and stated pay are already counted for you.
  • Evidence included. Every company comes with sample job links, so a sales rep can check the signal in seconds.

Who uses hiring signals?

  • Sales teams selling to users of a tool: companies naming Salesforce, HubSpot, Zendesk or a competitor of yours.
  • Agencies and recruiters finding companies with five or more open roles in their specialty.
  • Account managers checking which of their accounts are hiring now.
  • RevOps and AI agents feeding a CRM with a ready-made signal sentence per company.

What data can Hiring Signals & Technographics extract?

FieldTypeDescription
company, careersPageUrltext, linkThe company and its public job board
matchingRolesnumberOpen roles that match your filters
totalOpenRolesnumberAll open roles at the company
newRolesLast7Days, newRolesLast30DaysnumberHiring momentum
technologieslistTools named in matching postings, with role counts
categories, seniority, countrieslistWhere and at what level the company is hiring
statedPaylistPay ranges stated in matching postings
signaltextA one-line summary for CRM notes or outreach
sampleJobslistRecent matching postings with links

How to find companies hiring for a role or using a tool

  1. Enter technologies, job title keywords, or both.
  2. Add locations and a minimum role count if you like.
  3. Set Maximum companies and click Start.
  4. Download the results, or read them through the API.

Example input

Companies hiring sales roles in the United States that name Salesforce or HubSpot:

{
"technologies": ["salesforce", "hubspot"],
"titleKeywords": ["sales", "account executive", "business development"],
"locations": ["United States"],
"postedWithinDays": 30,
"minMatchingRoles": 3,
"maxCompanies": 100
}

How much do hiring signals cost?

You pay per company returned, and higher Apify plans pay less per company. The pricing panel on this page shows the price for your plan. On the Free and Starter plans:

Companies returnedCost
50$1.00
500$10.00
5,000$100.00

Platform usage is included, and Maximum companies caps your cost.

Input

See the Input tab for every option. Technologies match tools named in job descriptions, Job title keywords match role titles, and Minimum matching roles keeps only companies hiring at volume.

Output

Download the dataset as JSON, CSV, Excel, XML, RSS or HTML. Each company looks like this:

Example output

{
"company": "Acme",
"careersPageUrl": "https://job-boards.greenhouse.io/acme",
"source": "greenhouse",
"matchingRoles": 6,
"totalOpenRoles": 41,
"newRolesLast7Days": 5,
"newRolesLast30Days": 12,
"signal": "6 matching open roles posted in the last 30 days; mentions salesforce in 4; 41 open roles in total, 5 posted in the last 7 days.",
"technologies": [{ "name": "salesforce", "roles": 4 }, { "name": "gong", "roles": 2 }],
"categories": [{ "name": "sales", "roles": 6 }],
"seniority": [{ "name": "mid", "roles": 4 }, { "name": "manager", "roles": 2 }],
"countries": [{ "code": "US", "roles": 6 }],
"remoteRoles": 2,
"statedPay": [{ "currency": "USD", "min": 60000, "max": 140000, "roles": 3, "period": "year" }],
"newestPostingDate": "2026-11-04",
"sampleJobs": [{ "title": "Account Executive, Mid-Market", "location": "Austin, TX", "department": "Sales", "postedDate": "2026-11-04", "url": "https://job-boards.greenhouse.io/acme/jobs/123" }],
"dataAsOf": "2026-11-05T08:40:00.000Z"
}

Languages and frameworks: python, java, javascript, typescript, golang, rust, c++, c#, .net, ruby, rails, php, react, angular, vue, next.js, node.js, django, spring.

Cloud and infrastructure: aws, azure, gcp, kubernetes, docker, terraform, cloudflare, vercel, datadog, splunk, grafana, okta, crowdstrike.

Data and AI: snowflake, databricks, bigquery, redshift, dbt, airflow, spark, kafka, postgresql, mongodb, tableau, power bi, looker, pytorch, tensorflow, langchain, llm, openai, anthropic.

Business tools: salesforce, hubspot, marketo, pardot, gong, salesloft, zoominfo, 6sense, zendesk, intercom, gainsight, servicenow, jira, notion, figma, shopify, magento, wordpress, stripe, netsuite, sap, oracle, workday, quickbooks, xero, google analytics, amplitude, mixpanel.

Tips for better signals

  • Combine a technology with title keywords for intent: "salesforce" plus "sales" finds teams growing around that tool.
  • Raise Minimum matching roles to 3 or more to focus on companies hiring at volume.
  • Use Posted within the last N days of 7 to 30 for fresh signals.

Use Hiring Signals & Technographics with the API and AI agents

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('atsfeed/hiring-signals-technographics').call({
technologies: ['salesforce'],
titleKeywords: ['sales'],
locations: ['United States'],
minMatchingRoles: 3,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

AI agents in Claude, ChatGPT, Cursor or any MCP client can call this Actor as a tool through the Apify MCP server at mcp.apify.com. The API tab has Python, cURL and more.

FAQ

Does it return personal contact details?

No. It returns company-level signals only. If you use the results for outreach, follow the laws that apply to you, such as GDPR and CAN-SPAM.

How reliable is a technology match?

A tool named in a posting is a strong hint, not proof. A company may be moving away from it, or list it as a nice-to-have. Read the sample jobs before relying on a signal.

Need a technology that is not listed?

Ask on the Issues tab and it can be added.

Coverage and accuracy

  • Index size, November 2026: about 19,000 companies with about 730,000 open jobs. About 500,000 of those jobs have a full description, which technology matching needs.
  • Data comes from public job boards on Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee, Personio and Breezy, refreshed daily. Companies that hire through other systems, or only through LinkedIn or Indeed, are not covered.
  • Technology matching uses fixed rules applied to the employer's own words, and only covers jobs where the source shared a description. It can miss or misread a mention.
  • Each company is one job board. A company using two systems appears twice.

Questions

Found a wrong result, or want another system covered? Open an issue on the Issues tab with an example.