Company Hiring Signals: Job Openings & Hiring Intent by Company
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Pay per event
Company Hiring Signals: Job Openings & Hiring Intent by Company
Use this to see which companies are hiring and for what. Give company domains, names or job-board links; get one row per company with open jobs, new jobs in 7/30 days, teams hiring, leadership roles and a hiring score. Greenhouse, Lever, Ashby and more.
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Pay per event
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Panda Federation
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See which companies are hiring, for which teams, and how fast. Paste company domains, names or job-board links and get one row per company with open jobs, new jobs in the last 7 and 30 days, teams hiring (Sales, Engineering, Marketing…), leadership roles, remote share, keyword hits and a 0-100 hiring score, plus every open job in Excel and CSV. Reads the public job-board feeds of Greenhouse, Lever, Ashby, Workable, SmartRecruiters and Recruitee. Apify's free plan includes $5 of monthly platform credit, enough for about 1,600 companies at $0.003 each (pricing below).
A company that is hiring 10 sales reps, a new VP of Marketing or its first data team is about to buy tools, services and people. This Actor turns that into a sortable lead list.
Job scrapers give you thousands of raw job rows. Sales, recruiting and research teams usually need the opposite: one line per account that says whether it is growing and where. Company Hiring Signals does that roll-up for you:
- 🔎 Finds the job board for you: give
stripe.com,Notionorhttps://jobs.lever.co/spotify; it reads the company's careers page (robots.txt respected) to find the exact board, or matches the board by name - 📈 Hiring momentum: open jobs, jobs posted in the last 7 and 30 days, newest 5 jobs with dates, last posted date
- 🧭 Where they're hiring: roles grouped into Sales, Marketing, Customer Success & Support, Engineering, Data & AI, Security & IT, Product & Design, Finance & Legal, People & Recruiting, Operations
- 👔 Leadership hires: VP, Head of, Director and C-level openings, with titles (a classic buying trigger)
- 🏷️ Keyword hits: count roles that mention the tool you sell (Salesforce, HubSpot, Snowflake…) or the role you care about (SDR, DevOps)
- 🌍 Remote share and top locations
- 🔥 Hiring score 0-100 and a hot / warm / cold signal for quick sorting
- 📊 Excel + CSV: a Companies sheet and a Jobs sheet with every open role, team, location, posted date, pay range (when the board shows it) and link
- 💸 $0.003 per company returned. 500 accounts cost $1.50. Companies with no public job board are listed free
Who it's for
- B2B sales and SDR teams: prioritize accounts that are growing, hiring sales reps or hiring the persona you sell to
- Recruiting and staffing agencies: find companies with many open roles in your specialty, plus the newest postings
- Agencies and freelancers (Fiverr / Upwork lead lists): deliver "companies hiring X in the last 30 days" lists in minutes
- Investors and market researchers: track hiring momentum across a portfolio or a competitor set
- Job seekers and career coaches: see which target companies are actively adding roles in your field
How to use it
- Click Try for free.
- Paste companies, one per line: domains, names or job-board links.
- Optional: add keywords to count in job titles, and a minimum open jobs filter.
- Click Start. 100 companies take about a minute. Download HIRING_XLSX, COMPANIES_CSV or JOBS_CSV from Storage → Key-value store, or use the dataset via API.
Input example
{"companies": ["stripe.com", "Notion", "huggingface.co", "https://jobs.lever.co/spotify"],"titleKeywords": ["Salesforce", "SDR", "Account Executive"],"minOpenJobs": 5}
Task examples
Save these as Apify tasks (or schedule them weekly) to get a fresh signal list:
- Accounts hiring SDRs this month: your target-account domains +
titleKeywords: ["SDR", "BDR", "Sales Development"],minOpenJobs: 1. Sort by keyword hits. - New leadership = new budget: your account list; filter the Companies sheet on
leadershipJobs > 0and readleadershipTitles. - Sell into a tech stack:
titleKeywords: ["Snowflake", "dbt", "Databricks"]to find data teams on a given stack. - Weekly competitor watch: competitors' domains, scheduled every Monday; compare
newJobs7dand the teams hiring.
Output example
One row per company. A real row from a test run:
{"company": "Figma","domain": "figma.com","signal": "hot","hiringScore": 100,"openJobs": 142,"newJobs7d": 14,"newJobs30d": 39,"leadershipJobs": 6,"leadershipTitles": ["Director, Data Science", "Director, SMB Sales (London, United Kingdom)", "Director, Strategic Sales (Berlin, Germany)"],"topFunctions": ["Sales (45)", "Engineering (35)", "Data & AI (15)", "Marketing (10)", "Product & Design (9)"],"topLocations": ["San Francisco, CA • New York, NY • United States (69)", "London, England (18)", "Berlin, Germany (8)"],"keywordHits": {"Account Executive": 23},"newestJobs": ["2026-10-30 Sales Recruiter (London, United Kingdom)", "2026-10-29 Account Executive, Enterprise (São Paulo, Brazil)"],"lastPostedAt": "2026-10-30T17:41:19+00:00","ats": "Greenhouse","boardUrl": "https://job-boards.greenhouse.io/figma","matchedBy": "link on website","status": "board found","agentSummary": "Figma: hot hiring signal (100/100); 142 open jobs on Greenhouse; 39 new in 30 days (14 in 7); teams: Sales (45), Engineering (35), Data & AI (15); 6 leadership roles e.g. Director, Data Science; keyword hits: Account Executive 23"}
Fields
| Field | What it is |
|---|---|
company, domain, input | Company name (from the board when available), domain and what you entered |
signal, hiringScore | hot / warm / cold / none and the 0-100 score |
openJobs, newJobs7d, newJobs30d, lastPostedAt | Hiring volume and momentum |
topFunctions, functionCounts, salesJobs, engineeringJobs | Teams hiring (classified from job titles) |
leadershipJobs, leadershipTitles | VP / Head of / Director / C-level openings |
remoteJobs, remoteShare, topLocations | Where the roles are |
keywordHits | Your keywords and how many open roles mention each |
newestJobs | The 5 newest roles with posting dates |
ats, boardUrl, boardSlug, matchedBy | Which job board, its link, and how it was matched (board URL given, link on website, name match) |
status | board found or no public job board found (not charged) |
agentSummary | One plain-English line per company |
Hiring score: open roles up to 40 points (log scale), roles posted in the last 30 days 4 points each up to 40, leadership roles 5 points each up to 20. Hot = 60+, warm = 30-59, cold = 1-29, none = board exists but nothing open.
Files in the key-value store
| Key | What it is |
|---|---|
HIRING_XLSX | Excel workbook: Companies (signal colors), Jobs (every open job with link), Run log, Read me |
COMPANIES_CSV | Companies table as CSV |
JOBS_CSV | Every open job of the returned companies as CSV |
SUMMARY | JSON: signal counts, hottest companies, companies with no board found, a one-line takeaway and nextStep |
For AI agents
Use this Actor to find out whether, how much and for which teams a company is hiring. Call it with Apify's MCP server (https://mcp.apify.com, tool call-actor, Actor pandadad0214/company-hiring-signals) or the API (POST https://api.apify.com/v2/acts/pandadad0214~company-hiring-signals/run-sync-get-dataset-items).
Minimal input:
{"companies": ["stripe.com", "Notion"]}
Each dataset item includes:
agentSummary: one line, e.g.Notion: hot hiring signal (100/100); 150 open jobs on Ashby; 37 new in 30 days (14 in 7); teams: Sales (43), Engineering (39); 9 leadership roles e.g. General Manager, DACH; 60% remotesignal,hiringScore,openJobs,newJobs30d: the verdicttopFunctions,leadershipTitles,keywordHits: whyboardUrl: where to read the jobs
The run's key-value store has a SUMMARY record with signals, hot, notFound, a one-line takeaway and nextStep. Companies without a public board come back with status: "no public job board found" and are not charged.
Pricing
Apify paid-plan discounts: Bronze members pay 10% less, Silver 20% less and Gold 30% less per company. Free-plan prices are shown below; the discount applies automatically.
$0.003 per company returned (pay-per-event), plus a tiny Actor-start fee of $0.00005. The Jobs sheet, Excel, CSV and summary are included; you are not charged per job. Companies with no public job board, or below your minimum open jobs, cost nothing. Your maximum charge per run is respected (the highest-scoring companies are returned first).
FAQ
Where does the data come from? The public job-board feeds that Greenhouse, Lever, Ashby, Workable, SmartRecruiters and Recruitee publish so companies can embed their careers pages, read live at run time. No LinkedIn, no logins, no Indeed scraping.
What if a company uses Workday, iCIMS, Taleo or its own careers site? Those don't offer an open feed, so the company comes back as no public job board found and you are not charged. Startups and tech / SaaS companies mostly use the six supported boards.
How exact is the company match? board URL given and link on website are exact. name match means a board with the company's name exists; for very common names, check boardUrl. Giving a domain with Look for the job board on the company website on is the most exact.
Are very large boards complete? Open-job counts are always the board's full total. For boards with more than 1,000 roles (some SmartRecruiters companies), the team breakdown and newest jobs are based on the first 1,000 roles the board returns.
How is "new in 30 days" calculated? From each job's published date on the board (Greenhouse first-published, Lever created, Ashby published, Workable published, SmartRecruiters released, Recruitee published).
Can I track changes over time? Yes: schedule the same input weekly and compare openJobs and newJobs7d, or chain the dataset into a Google Sheet.
Can I use it from code or an AI agent? Yes, via the Apify API, the Python/JS clients, or as a tool through Apify's MCP server.
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Questions or a board you'd like supported? Open an issue on this Actor's Issues tab.
Changelog
- 2026-11-02: First public release: Greenhouse, Lever, Ashby, Workable, SmartRecruiters and Recruitee; board discovery from the company website; hiring score and signal; teams, leadership roles, remote share, keyword hits; Excel/CSV with every open job; agent-friendly
agentSummaryandtakeaway; pay-per-event pricing with Bronze/Silver/Gold discounts.