Drushim — Israel Job Listings (Hebrew) avatar

Drushim — Israel Job Listings (Hebrew)

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Drushim — Israel Job Listings (Hebrew)

Drushim — Israel Job Listings (Hebrew)

Scrape drushim.co.il — Israel's leading Hebrew job board with structured listings · per-listing geo-coordinates · multi-filter search by category & experience. Incremental mode tracks new and changed listings across scheduled runs.

Pricing

from $2.00 / 1,000 results

Rating

5.0

(1)

Developer

Black Falcon Data

Black Falcon Data

Maintained by Community

Actor stats

2

Bookmarked

69

Total users

17

Monthly active users

2 days ago

Last modified

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What does Drushim do?

Drushim extracts structured job data from drushim.co.il — including salary data, apply URLs, company metadata, full descriptions, remote-work indicators, and location data. 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 and company metadata) where the source provides them.

How to use this actor

  • 👉 Register for a free Apify account — no credit card required.
  • 🎉 Just click Sign up free on Apify → and complete a quick signup.
  • 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
  • ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

  • 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Drushim jobs" pings to your hiring channel.
  • 📧 Email + phone extraction — every record carries extractedEmails[] and extractedPhones[] regex-pulled from the description — direct-outreach lists with no extra processing step.
  • 🔗 URL + social-profile extraction — every record carries extractedUrls[] and structured socialProfiles { linkedin, twitter, github, … } parsed from the description — useful when employers drop their careers page or recruiter LinkedIn in-line.
  • 🎯 Batch searches — batch ["python developer", "data engineer", "ML engineer"] in one run — one dedup state across all searches, single dataset, one Actor-Start charge instead of N.
  • 📦 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.
  • ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
  • ♻️ 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.
  • 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).
  • 🔌 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 drushim.co.il?

Each result includes Core job fields (jobId, jobCode, title, location, locationEnglish, region, regionEnglish, and latitude, and more), detail fields when enrichment is enabled (description, descriptionHtml, descriptionMarkdown, descriptionLength, and benefits), apply information (applyUrl), and company metadata (company, companyCode, companyLogoUrl, and companyProfileUrl). 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.

Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata 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 search keywords (Hebrew or English). Use JSON array for multi-query, e.g. ["developer", "מפתח"].
  • location — City or region name in Hebrew or English (e.g. 'Tel Aviv', 'תל אביב', 'Jerusalem', 'Haifa'). Use JSON array for multi-location.
  • lat — GPS latitude of the search centre. Pair with Longitude and Search Radius to keep only listings within that radius of this point.
  • lon — GPS longitude of the search centre. Pair with Latitude.
  • radiusKm — Keep only listings within this many kilometres of the (Latitude, Longitude) centre. Listings whose coordinates are unknown are always kept.
  • maxResults — Maximum job listings to return. 0 = unlimited. This is the primary cost control — Apify charges per emitted record. (default: 25)
  • maxPages — Maximum search result pages per query. Defensive safety bound — maxResults is the primary record cap. (default: 10)
  • category — Drushim job category code (numeric ID). Each code maps to one Drushim category — see enumTitles for the full mapping (e.g. 1 = Admin & Office, 2 = Senior Management, 3 = HiTech-Hardware). Leave blank to include all categories.
  • subCategory — Sub-category code within the selected category. The available codes depend on the parent category — check drushim.co.il for valid values.
  • area — Geographic region filter.
  • scope — Employment scope / work arrangement.
  • experience — Required experience level.
  • ...and 29 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

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

{
"query": "מפתח",
"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": "מפתח",
"maxResults": 200,
"incrementalMode": true,
"stateKey": "מפתח-tracker"
}

Compact filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
"query": "מפתח",
"category": "1",
"maxResults": 50,
"compact": true
}

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": "drushim-37243651",
"jobCode": 37243651,
"title": "מפתח/ת אוטומציה",
"company": "Matrix R&D Services",
"companyCode": 3795424,
"companyLogoUrl": "https://webapi.drushim.co.il/logos/3795424/page/637980158059600925.png",
"companyProfileUrl": "https://www.drushim.co.il/דרושים-3795424-סטאריט/",
"location": "תל אביב",
"locationEnglish": "Tel Aviv",
"region": "מרכז",
"regionEnglish": "Center",
"latitude": 32.048725,
"longitude": 34.814985,
"description": "דרוש/ה מפתח/ת אוטומציה לארגון ביטחוני מובילמחפש/ת את האתגר הבא בעולם האוטומציה?הצטרף/י לצוות מקצועי ומשפיע בארגון ביטחוני גדול, ותהיה/י חלק מפיתוח והובלת תהליכי בדיקות מתקדמים במערכות מורכבות וחדשניות...",
"descriptionHtml": "דרוש/ה מפתח/ת אוטומציה לארגון ביטחוני מוביל<br/>מחפש/ת את האתגר הבא בעולם האוטומציה?<br/>הצטרף/י לצוות מקצועי ומשפיע בארגון ביטחוני גדול, ותהיה/י חלק מפיתוח והובלת תהליכי בדיקות מתקדמים במערכות מורכבו...",
"descriptionMarkdown": "דרוש/ה מפתח/ת אוטומציה לארגון ביטחוני מוביל\nמחפש/ת את האתגר הבא בעולם האוטומציה?\nהצטרף/י לצוות מקצועי ומשפיע בארגון ביטחוני גדול, ותהיה/י חלק מפיתוח והובלת תהליכי בדיקות מתקדמים במערכות מורכבות וחדשני...",
"requirements": "מעל ארבע שנות ניסיון בפיתוח אוטומציה, בתכנון, פיתוח והרצת בדיקות.ניסיון בתכנות מונחה עצמים OBJECT ORIENTED כגון Java, או #C.הכרת מתודולוגיות בדיקה.ניסיון בתכנון וביצוע אוטומציות .",
"requirementsHtml": "מעל ארבע שנות ניסיון בפיתוח אוטומציה, בתכנון, פיתוח והרצת בדיקות.<br/>ניסיון בתכנות מונחה עצמים OBJECT ORIENTED כגון Java, או #C.<br/>הכרת מתודולוגיות בדיקה.<br/>ניסיון בתכנון וביצוע אוטומציות .",
"descriptionLength": 415,
"category": "הייטק-תוכנה",
"subCategory": "מפתח/ת כלי בדיקות",
"experience": "5-6 שנים",
"experienceCode": 4,
"employmentType": "Full-time",
"scopes": [
"Full-time"
],
"isRemote": false,
"isHybrid": false,
"isSponsored": true,
"isHot": false,
"isExpired": false,
"portalUrl": "https://www.drushim.co.il/job/37243651/57181f53/",
"applyUrl": "https://www.drushim.co.il/sendcv.aspx?jobcode=37243651",
"postedDate": "2026-06-02T18:35:31.970Z",
"postedAt": "2026-06-02T18:35:31.970Z",
"scrapedAt": "2026-06-11T21:08:02.911Z",
"source": "drushim.co.il",
"contentHash": "aa3afe29053ba686b9ec0bc1c58ab5059c5b4592073b0c3749e6aa229553cccb",
"searchQuery": "developer",
"isRepost": false
}

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.
  • firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
  • 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 drushim.co.il

  1. Go to Drushim in Apify Console.
  2. Enter a search keyword and optional location filter.
  3. Set maxResults to control how many results you need.
  4. Enable includeDetails if you need full descriptions, company data.
  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 drushim.co.il 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.
  • Auto-apply or feed apply URLs into your ATS / hiring pipeline.
  • Research company hiring patterns, employer profiles, and industry distribution.
  • Use structured location data for regional analysis, mapping, and geo-targeting.
  • 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 drushim.co.il?

Drushim 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: 100 jobs per run, daily polling (30 runs/month). Costs scale linearly with the number of jobs.

Churn rateFull re-scrape run costIncremental run costSavings vs full re-scrapeMonthly cost after baseline
5% — stable niche query$0.21$0.02$0.19 (90%)$0.60
15% — moderate broad query$0.21$0.04$0.17 (81%)$1.20
30% — high-volume aggregator$0.21$0.07$0.14 (67%)$2.10

Full re-scrape monthly cost at the same cadence: $6.30. First month with incremental costs $0.79 / $1.37 / $2.24 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

FAQ

How many results can I get from drushim.co.il?

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

Does Drushim 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 Drushim with other apps?

Yes. Drushim 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 Drushim 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 Drushim 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.

This actor extracts publicly available data from drushim.co.il. 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 drushim.co.il. 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 Drushim'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 not affiliated with, endorsed by, or connected to Drushim.

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