Joinhandshake Com Scraper

What does Joinhandshake Com Scraper do?

Joinhandshake Com Scraper extracts structured job data from joinhandshake.com — including salary data, contact details, company metadata, full descriptions, and remote-work indicators. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, company metadata, and contact information) where the source provides them.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• 💰 Structured salary: structured salaryMin, salaryMax and salaryCurrency on every job.
• 🏢 Employer details: companyName, industry and companyLogo name the employer behind each job.
• 💼 Employment type and work mode: jobType, employmentType and isRemote as fields, so you can filter jobs without reading the text.
• 🗓️ Posting dates: datePosted and validThrough tell you how fresh each job is.
• 🔍 Keyword search: search joinhandshake.com by keyword with the query input, in the place you name in location.
• 🔗 Paste-mode: paste joinhandshake.com URLs into startUrls to scrape exactly the pages you picked in the browser.
• ♻️ Incremental mode: recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
• 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Joinhandshake jobs" pings to your hiring channel.
• 📦 Compact mode: AI-agent and MCP-friendly compact payloads with core fields only — pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras.
• 🔌 MCP connectors: export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

What data can you extract from joinhandshake.com?

Each result includes Core job fields (jobId, url, portalUrl, title, jobType, employmentType, location, and city, and more), detail fields when enrichment is enabled (roleGroups, descriptionHtml, descriptionText, descriptionMarkdown, and detailFetched), contact information (extractedEmails and extractedPhones), and company metadata (companyName, companyWebsite, and companyLogo). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Detail enrichment is on by default and adds richer fields such as full descriptions, company metadata, and contact information where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job role or category, e.g. "marketing", "software engineering", "nursing". Leave empty (with no location) to browse all public jobs, newest first.
• location — US city and state, e.g. "Dallas, TX" or "New York, NY".
• maxResults — Maximum total results (0 = unlimited). (default: 100)
• startUrls — Paste raw search URLs from the target site. Each URL becomes its own search task; results are merged and deduped by job ID across all URLs. When provided, startUrls REPLACE the query/location fields (each supported URL becomes one task; unsupported URLs are skipped, and if none is supported the run stops with an input error). (default: [])
• includeDetails — Fetch full job details. (default: true)
• descriptionMaxLength — Truncate description to N chars. 0 = no truncation. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• descriptionFormat — Which description representations to emit. all keeps description + descriptionText + descriptionHtml + descriptionMarkdown (default, back-compat). text / html / markdown keep only one variant — typically halves output size. (default: "all")
• excludeEmptyFields — Drop null / empty-string / empty-array fields (and fully-null nested objects like socialProfiles) from each output record. Off by default to preserve dataset schema compatibility; turn on to slim output for LLM / agent consumption. (default: false)
• incrementalMode — Compare against previous run state. stateKey is optional — defaults to a value derived from search inputs (queries, locations, startUrls, country) so different filter sets never share state. (default: false)
• stateKey — Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.
• emitUnchanged — Also emit jobs that have not changed since the last run (incrementalMode only). (default: false)
• ...and 15 more parameters

Input examples

Basic search — Keyword-driven search scoped to a city with a tight radius.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "marketing",
  "location": "Dallas, TX",
  "maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "marketing",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "marketing-tracker",
  "location": "Dallas, TX"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "marketing",
  "maxResults": 50,
  "compact": true,
  "location": "Dallas, TX"
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "11729457",
  "url": "https://app.joinhandshake.com/public/jobs/11729457",
  "portalUrl": "https://app.joinhandshake.com/public/jobs/11729457",
  "title": "Associate Product Manager",
  "companyName": "Primesource Building Products Inc",
  "companyWebsite": "http://www.primesourcebp.com",
  "companyLogo": "https://joinhandshake-production.imgix.net/app/public/assets/institutions/45070/original/hs-emp-logo-data.?ixlib=rb-4.1.1&v=1542233848&s=bd3c4ffa82c6a10468df53c411cefa54",
  "jobType": "Job",
  "employmentType": "Full-time",
  "location": "Irving, Texas, United States",
  "city": "Irving",
  "region": "Texas",
  "country": "United States",
  "locations": [
    {
      "city": "Irving",
      "region": "Texas",
      "country": "United States"
    }
  ],
  "isRemote": false,
  "salaryMin": 50000,
  "salaryMax": 65000,
  "salaryCurrency": "USD",
  "salaryPeriod": "YEAR",
  "paySchedule": "Annual Salary",
  "roleGroups": [
    "Product Managers",
    "Marketing Managers"
  ],
  "industry": "Sales & Marketing",
  "datePosted": "2026-10-21T15:34:19Z",
  "firstActiveAt": "2026-10-21T05:00:00.000Z",
  "validThrough": "2026-12-05T05:59:59Z",
  "descriptionHtml": "<p> </p><p>PrimeSource Building Products Inc., one of the nation's largest wholesale distributors of building supply products, has an immediate opportunity for a <strong>Associate</strong> <strong>Pro...",
  "descriptionText": "PrimeSource Building Products Inc., one of the nation's largest wholesale distributors of building supply products, has an immediate opportunity for a Associate Product Manager. This position will be...",
  "searchQuery": "marketing",
  "searchLocation": "Dallas, TX",
  "scrapedAt": "2026-10-25T16:40:00.681Z",
  "descriptionMarkdown": "PrimeSource Building Products Inc., one of the nation's largest wholesale distributors of building supply products, has an immediate opportunity for a **Associate** **Product Manager.**  This position...",
  "contentQuality": "full",
  "detailFetched": true,
  "source": "joinhandshake.com",
  "contentHash": "412faf0477c394e8d8bf87fa6f7357b3e1bc4141842ee35a174cd3135b071b93"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape joinhandshake.com

1. Go to Joinhandshake Com Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Keep includeDetails on (the default) for full descriptions, contact info, company data, or turn it off for faster, cheaper runs.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from joinhandshake.com for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed jobs on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape joinhandshake.com?

Joinhandshake Com Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.002 per job record

Example costs:

• 10 results: $0.03
• 25 results: $0.06
• 100 results: $0.21
• 200 results: $0.41
• 500 results: $1.01

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of jobs that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 jobs per run, daily polling (30 runs/month). Costs scale linearly with the number of jobs.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.51	$0.04	$0.47 (93%)	$1.05
15% — moderate broad query	$0.51	$0.08	$0.43 (83%)	$2.55
30% — high-volume aggregator	$0.51	$0.16	$0.35 (69%)	$4.80

Full re-scrape monthly cost at the same cadence: $15.30. First month with incremental costs $1.53 / $2.97 / $5.15 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from joinhandshake.com?

The number of results depends on the search query and available jobs on joinhandshake.com. Use the maxResults parameter to control how many results are returned per run.

Does Joinhandshake Com Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed jobs on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Joinhandshake Com Scraper with other apps?

Yes. Joinhandshake Com Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Joinhandshake Com Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Joinhandshake Com Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape joinhandshake.com?

This actor extracts publicly available data from joinhandshake.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on joinhandshake.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Joinhandshake Com's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Joinhandshake Com or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

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