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💼 Job Posting Lead Finder | $3/1K | Lead Score, Hiring Signal

⚡ Use this Actor in n8n — no code

Building no-code workflows in n8n? Install our official community node and drop this Actor straight onto your canvas:

📦 n8n-nodes-apivault-job-leads

Setup (30 seconds): in n8n go to Settings → Community Nodes → Install, paste n8n-nodes-apivault-job-leads and confirm → add the new node to your workflow → paste your Apify API token → fill in the input and run.

Multi-source job aggregator (Indeed + LinkedIn Jobs, optional Glassdoor) turned into a B2B sales prospecting tool. Companies that are hiring have active budgets — making them the best prospects for your outreach.

$3 per 1,000 jobs · cross-source dedup · 12 enrichment layers per job · leadScore 0-100 · 3-variant outreach pitches · CSV export ready for CRM

{
"keywords":"marketing manager",
"location":"New York, NY",
"minLeadScore":55,
"onlyWithSalary":true,
"exportFormat":"csv"
}

Why Job Postings = Best B2B Leads

A company posting 5+ jobs is spending $50K–$500K+ on new hires. Combined with their tech stack signals, you know what they need next before they do.

What you get for $0.003 per job

For every job analyzed you get 40+ structured fields combining the source data with 12 derived enrichment layers.

⭐ Core (Indeed / LinkedIn / Glassdoor)

• jobTitle, companyName, location, jobType
• description, postedDate, companyRating, jobUrl
• source (which board returned this row)
• sources_seen[] (which boards had this job — set after cross-source dedup)

💰 Salary parser (USD-normalized)

• salaryMinUsd, salaryMaxUsd, salaryMedianUsd
• salary_tier — entry / mid / senior / principal / unicorn
• 7 currencies: USD/EUR/GBP/CAD/AUD/INR/JPY (FX-converted)
• Hourly/daily/weekly/monthly auto-annualized

⏱️ Job freshness

• daysSincePosted, freshness_tier (today / this_week / this_month / older)

🌍 Work-mode classifier

• workMode — remote / hybrid / onsite / unknown
• isRemoteListing boolean

🛠️ Skills extraction (225 tech terms)

• skillsRequired[] — Python, React, Postgres, AWS, Kubernetes, Salesforce, HubSpot, Shopify, Snowflake, ...
• softSkills[] (15 phrases), certifications[] (18 patterns), skillsCount
• See full vocabularies below for the complete lists

🎁 Benefits parser — 14 boolean flags

mentions_401k, mentions_health_insurance, mentions_equity, mentions_remote_work, mentions_visa_sponsorship, mentions_relocation, mentions_unlimited_pto, mentions_parental_leave, mentions_signing_bonus, mentions_4_day_week, mentions_stipend, mentions_meals, mentions_gym, mentions_commuter_benefits, plus benefitsCount

🎯 Seniority normalizer

intern / junior / mid / senior / lead / staff / principal / director / vp / c-level — reliable across noisy titles.

🏷️ Job category auto-detect (15 categories)

engineering / data_science / product / design / sales / marketing / finance / hr / operations / legal / customer_support / healthcare / education / construction_trades / other

🏠 Location parser

parsedLocation: {city, state, country}, isUsListing, isRemoteListing

🏛️ DEI signals (7 boolean flags)

mentions_diversity, mentions_lgbtq, mentions_women, mentions_veteran_friendly, mentions_disability_friendly, mentions_eeo, mentions_pay_transparency, plus dei_signals_count

⚖️ US pay transparency law detection

For listings in CA / CO / CT / MD / NV / NY / RI / WA / DC / IL / MN / MA:

• pay_transparency_state, pay_transparency_law
• pay_transparency_compliant — true if salary disclosed as required

🎯 leadScore (0-100) + tier + reasons

Composite for B2B sales prospecting:

• Cross-board presence (×2 sources = serious hiring effort)
• Hiring volume per company (×5 roles = active budget)
• Job freshness, salary disclosure, modern stack signals
• Benefits depth (= larger comp budget)
• Decision-maker seniority (vp / director / c-level = budget owner)
• Visa sponsorship (= scaling talent ops)

leadTier — cold / warm / hot / scorching leadScoreReasons[] — explainable signals

💬 3-variant outreach pitches per company

Written to TOP_HIRING_COMPANIES.outreachPitchVariants:

• consultative — soft sell (default)
• aggressive — leads with a metric
• referral — mutual-connection angle

A/B test which copy converts in your sequence.

📞 One-click outreach links per company

• linkedin_company_url, linkedin_jobs_at_company_url
• linkedin_hiring_manager_search_url
• linkedin_role_owner_search_url — filtered by job category (engineering manager / cmo / cfo / head of design / ...)
• google_search_url, careers_page_guess
• email_template_url_with_pitch — mailto with auto-pasted pitch body

📊 Free aggregate KV records on bulk runs

SUMMARY — total jobs, by_source, by_category, by_seniority, by_work_mode, by_freshness, by_lead_tier, top_companies, top_skills_demanded, top_benefits_offered, salary distribution (median + p25 + p75), remote_friendly_pct, fresh_today_count.

TOP_HIRING_COMPANIES — top 20 sorted by job count with sources_active, max_leadScore, categories, top_skills, avg_salary_usd, 3 outreach pitch variants, full outreach links.

TOP_JOBS — top 20 jobs sorted by leadScore (sales-ops job-level digest).

Pricing

Pay only for jobs that successfully scrape. Failed sources don't trigger pay-per-event charging.

Supported Job Boards

Input Parameters

Sample Output

{
"success":true,
"source":"indeed",
"sources_seen":["indeed","linkedin"],
"jobTitle":"Senior Marketing Manager",
"companyName":"Acme Corp",
"location":"New York, NY",
"parsedLocation":{"city":"New York","state":"NY","country":"US"},
"isUsListing":true,
"isRemoteListing":false,
"workMode":"hybrid",
"salaryMinUsd":120000,
"salaryMaxUsd":150000,
"salaryMedianUsd":135000,
"salary_tier":"senior",
"salaryPeriod":"year",
"salaryCurrency":"USD",
"salaryRaw":"$120,000 - $150,000",
"daysSincePosted":2,
"freshness_tier":"this_week",
"postedDate":"2 days ago",
"seniority_normalized":"senior",
"jobCategory":"marketing",
"skillsRequired":["Salesforce","Hubspot","Marketo","Google Sheets"],
"skillsCount":4,
"softSkills":["Leadership","Communication"],
"mentions_equity":true,
"mentions_health_insurance":true,
"mentions_unlimited_pto":true,
"benefitsCount":3,
"mentions_diversity":true,
"mentions_eeo":true,
"dei_signals_count":2,
"pay_transparency_state":"NY",
"pay_transparency_law":"New York (LL 32 of 2022)",
"pay_transparency_compliant":true,
"leadScore":67,
"leadTier":"hot",
"leadScoreReasons":[
"on 2 job boards",
"5 roles open",
"posted this week",
"salary disclosed",
"4 skills listed",
"3 benefits listed"
],
"companyRating":4.2,
"jobUrl":"https://www.indeed.com/viewjob?jk=abc123"
}

Use cases

🥇 Agency / freelancer lead generation

# Hot prospects: companies hiring marketing across 2+ boards in NY
{
"keywords":"marketing manager",
"location":"New York, NY",
"sources":["indeed","linkedin"],
"minLeadScore":55,
"onlyWithSalary": true
}

📊 Sales prospecting + CRM import

# Flat CSV ready for HubSpot/Pipedrive/Salesforce
{
"keywords":"head of sales",
"exportFormat":"csv",
"minLeadScore":60
}

🔍 Tech-stack-targeted outreach

Filter skillsRequired to find companies using your tech category. Companies hiring "Salesforce admin" need Salesforce add-ons. Companies hiring "DevOps Engineer with Kubernetes" need observability / CI/CD vendors.

⚖️ HR-tech compliance audit

# Find non-compliant pay-transparency listings (legal-tech use case)
{
"keywords":"engineering manager",
"location":"California",
"onlyPayTransparencyCompliant": false
}
# Then filter client-side for pay_transparency_state set + pay_transparency_compliant false

📈 Hiring trends / market intelligence

Run weekly with onlyFreshThisWeek: true and the same keywords to track fresh roles week-over-week. Use SUMMARY.top_skills_demanded for skills trend reports.

🎯 Account-Based Marketing (ABM)

Read TOP_HIRING_COMPANIES from the KV store — top 20 prospects with 3 ready-to-paste pitch variants per company. Drop the consultative into your first email, the aggressive into follow-up #2, the referral into LinkedIn DM.

How It Works

1. You provide keywords + location + sources
2. Each source is scraped in parallel (no login needed)
3. Rows are normalized into a unified format with source field
4. Cross-source fingerprint dedup (company + title + city)
5. 12 enrichment layers applied to each record
6. leadScore computed using cross-source presence + hiring volume + ...
7. Server-side filters drop low-quality / off-target listings
8. Aggregates (SUMMARY + TOP_HIRING_COMPANIES + TOP_JOBS) written to KV
9. Final dataset pushed (default JSON or flat CSV)

Typical: ~10–20 seconds per source, ~30 seconds total for a 2-source run.

FAQ

Q: Why is Glassdoor opt-in now? A: Glassdoor uses Cloudflare's anti-bot protection and can't be reached reliably. We default to Indeed + LinkedIn (both consistently work). Add "glassdoor" to sources if you want to try it — transient failures won't break the run, just log a warning.

Q: How accurate is leadScore? A: Heuristic — companies appearing on multiple boards with multiple fresh listings, disclosed salaries, and senior roles score highest. Treat scorching and hot as priority outreach.

Q: How is this better than scraping each board separately? A: Cross-source dedup (collapses duplicate jobs by company+title+city), unified schema across boards, and you only pay $0.003 once even if a job appears on 2 boards.

Q: How fresh is the data? A: Real-time — scraped live at run time.

Q: Will I get blocked / banned? A: All scraping happens on Apify infrastructure via a managed proxy pool. Your IP is never touched.

Q: Can I use this for recruitment? A: Yes — useful for staffing agencies tracking what companies are hiring for. Set deduplicateCompanies: false to keep every role for richer hiring-volume data.

Q: Why are some success: false? A: Source rate-limited or temporarily blocked. Jobs are still pushed (with success: false) but don't trigger pay-per-event charging.

Detected vocabularies

The actor uses fixed regex vocabularies (no AI / no LLM) so results are deterministic and predictable. Word-boundary matching is used everywhere to avoid false matches (e.g. "salesforce" in a description does not trigger jobCategory: sales).

Tech skills (225 terms)

Pattern matching is case-insensitive with proper word boundaries.

Languages (20) python javascript typescript go golang rust java kotlin swift c++ c# ruby php scala elixir r matlab perl lua dart

Web frameworks (24) react vue.js vue angular svelte next.js nuxt remix astro django flask fastapi starlette express nest.js nest rails ruby on rails spring spring boot asp.net blazor laravel symfony

Mobile (4) react native flutter ionic swiftui

Backend / APIs (5) graphql rest grpc websockets openapi

Databases (18) postgres postgresql mysql mariadb sqlite mongodb redis elasticsearch opensearch cassandra dynamodb snowflake bigquery redshift databricks clickhouse duckdb supabase

Cloud (22) aws azure gcp google cloud digitalocean heroku vercel netlify cloudflare ec2 s3 lambda fargate ecs eks rds azure functions cosmos db gke cloud run cloud functions firestore

DevOps (19) docker kubernetes k8s helm terraform pulumi ansible chef puppet jenkins github actions gitlab ci circleci argo cd prometheus grafana datadog new relic splunk

Streaming (4) kafka rabbitmq nats pulsar

Data / ML (36) spark hadoop airflow dagster prefect dbt fivetran pandas numpy polars scikit-learn sklearn tensorflow pytorch keras jax huggingface hugging face transformers langchain llama-index pinecone weaviate qdrant openai anthropic mistral mlflow kubeflow ray vertex ai sagemaker tableau looker power bi metabase

Frontend (17) html css sass tailwind bootstrap material ui mui shadcn radix ui redux zustand react query tanstack webpack vite esbuild turborepo

Testing (9) jest vitest cypress playwright selenium puppeteer pytest rspec junit

Security (5) owasp oauth oauth2 jwt openid connect

Methodologies (7) tdd bdd agile scrum kanban ci/cd pair programming

Other tooling (12) git github gitlab bitbucket linux unix bash powershell vim vscode intellij pycharm

Sales / marketing tooling (16) salesforce hubspot zendesk intercom marketo pardot stripe twilio sendgrid mailchimp klaviyo shopify wordpress drupal magento bigcommerce

Accounting / finance (7) quickbooks xero netsuite sap oracle excel google sheets

Soft skills (15)

leadership communication teamwork problem solving critical thinking time management adaptability creativity collaboration mentoring stakeholder management public speaking presentation negotiation decision making

Certifications (18)

aws certified azure certified gcp certified ckad cka rhce pmp psm csm safe itil cissp ceh comptia security+ cpa cfa phr shrm

Job categories (15)

The classifier returns one of: engineering · data_science · product · design · sales · marketing · finance · hr · operations · legal · customer_support · healthcare · education · construction_trades · other

Each category uses curated regex with word boundaries. Examples of detected role variants:

Seniority buckets (10 + unspecified)

intern · junior · mid · senior · lead · staff · principal · director · vp · c-level · unspecified

Detection uses title-only regex (description is too noisy):

Benefits (14 boolean flags)

Each is detected via a phrase-level regex and exposed as a boolean field on the record. benefitsCount is the sum of true flags.

DEI signals (7 boolean flags)

US pay-transparency states (12)

If parsedLocation.state matches one of these AND salaryMedianUsd is set, pay_transparency_compliant: true is added:

Salary parser

Periods auto-annualized: hour (×40h × 52w) · day (×22d × 12mo) · week (×52) · month (×12) · year (×1).

Ranges, single values, K/M suffixes ($80K, $1.5M), thousand separators ($120,000), and en-dashes / em-dashes (–, —) all recognized.

Salary tiers based on salaryMedianUsd:

Work-mode keywords

Freshness tiers

Recognised inputs: Just now, Today, Yesterday, 5 minutes ago, 3 hours ago, 2 days ago, 1 week ago, 2 months ago.

Locations

US states (51): all 50 states + DC + PR. Detected via 2-letter code in the last comma-separated chunk (San Francisco, CA).

Countries (45+): mapped to ISO-2 codes. Includes US/UK/Canada plus Germany, France, Spain, Italy, Netherlands, Belgium, Switzerland, Austria, Ireland, Sweden, Norway, Denmark, Finland, Poland, Portugal, Czech Republic, Australia, New Zealand, India, Singapore, Japan, South Korea, China, Hong Kong, Taiwan, Brazil, Mexico, Argentina, South Africa, Israel, UAE, plus the special tag REMOTE.

The parser strips trailing US zip codes (CA 94105 → CA), parenthetical neighborhoods ((Financial District)), and leading prefixes like Remote in , Hybrid in , WFH in .

Related Actors

• LinkedIn Jobs Scraper — LinkedIn-only, deeper enrichment (recruiter-tech focus)
• Indeed Jobs Scraper — Indeed-only, paginated
• Glassdoor Jobs Scraper — Glassdoor-only
• Local Lead Finder Pro — local SMB lead generation

Related Actors

• LinkedIn Jobs Scraper — LinkedIn-only, deeper enrichment (recruiter-tech focus)
• Indeed Jobs Scraper — Indeed-only, paginated
• Glassdoor Jobs Scraper — Glassdoor-only
• Local Lead Finder Pro — local SMB lead generation