🇮🇱 Israel Nonprofits Amutot Registry Scraper

Export the Israeli Amutot register as rows: registration number, name, stated purpose, registry status, and the full government record attached to each one. Runs against the open data resource on data.gov.il. No API key, no registration.

Every nonprofit association in Israel, an amuta, is entered in a public register held by the Registrar of Associations and republished as an open dataset on data.gov.il. The portal shows it through a paged preview table in Hebrew, which is fine for looking one organisation up and useless for building a list. This Actor reads the resource and writes each association into a dataset, with the complete government record kept intact on every row.

Who uses it	What they use the register for
🔍 Diligence and compliance teams	Confirming an Israeli counterparty is registered and in good standing before signing
💼 Corporate development and grant teams	Screening the sector by activity classification and reported turnover
📇 Business development teams	Building a contactable list of associations by city and field of activity
📊 Researchers and journalists	Measuring the sector: registrations by year, status, field, headcount

📋 What it does

💡 Why it matters: status is the field that settles an argument. רשומה means the association is on the register. נמחקה means it has been struck off. That is a five second check that would otherwise be an email to a lawyer.

• 🆔 Returns the official amuta number on every row, the identifier the registry itself keys on.
• 🏷 Name and stated purpose as the register holds them, in Hebrew.
• ✅ Registry status, for example רשומה for registered or נמחקה for struck off.
• 🗃 Keeps the whole government record in raw, including registration date, activity classification, reported income and expenses, employee and volunteer counts, and the address fields.
• 🔎 Optional keyword filter. Pass a query to match on name or purpose instead of walking the whole register.
• 📦 One row per association, the same 10 fields every run, exportable as CSV, Excel, JSON or XML.

📊 Output

Every association is one flat row with one nested object on it.

Field	Type	Description
🆔 amuta_id	integer	Official association number, for example 580000016
🏷 name	string	Association name in Hebrew, as registered
🎯 goal	string	Stated purpose of the association. Empty where the register holds none
✅ status	string	Registry status in Hebrew, for example רשומה or נמחקה
🗃 raw	object	The complete government record for this association, with the original Hebrew field names. See below
🏠 address	string	Reserved for a composed street address. Empty on every row of the reference run. The address parts are inside raw
🏙 city	string	Reserved for the city. Empty on every row of the reference run. The city is כתובת - ישוב inside raw
🖼 imageUrl	string	Reserved for a logo. Empty on every row of the reference run, since the register holds no images
🕒 scrapedAt	string	ISO timestamp of collection
⚠️ error	string	null on a normal row

What is inside raw

raw carries the government record unaltered, with its Hebrew column names. The fields most worth reading:

Key in raw	What it holds
תאריך רישום עמותה	Registration date, as DD/MM/YYYY
סיווג פעילות ענפי	Sector classification, for example מורשת או הנצחה
תחום פעילות משני	Secondary field of activity
מחזור כספי (הכנסות)	Reported income for the last filed year
סך הוצאות העמותה	Reported total expenses
כמות עובדים, כמות מתנדבים	Employee count and volunteer count
כתובת - ישוב, כתובת - רחוב, כתובת - מספר דירה, כתובת - מיקוד	City, street, number and postcode
שם עמותה באנגלית	English name, where the association filed one

Example rows

{
  "imageUrl": null,
  "amuta_id": 580000016,
  "name": "ארץ - המועצה הציבורית לקידום מחקרים בגיאוגרפיה של ארץ-ישראל וסביבותיה (ע~ר)",
  "goal": "איסוף כספים לצורך  שיפוץ מבנה יד לבנים בחדרה ורחבתו ולצורך אחזקתם התקינה.",
  "status": "רשומה",
  "address": null,
  "city": null,
  "raw": {
    "_id": 1,
    "מספר עמותה": 580000016,
    "תאריך רישום עמותה": "17/05/1981",
    "שם עמותה בעברית": "ארץ - המועצה הציבורית לקידום מחקרים בגיאוגרפיה של ארץ-ישראל וסביבותיה (ע~ר)",
    "שם עמותה באנגלית": "",
    "תאריך עדכון סטטוס": "Nov  3 2019  7:24AM",
    "סטטוס עמותה": "רשומה",
    "סיווג פעילות ענפי": "מורשת או הנצחה",
    "תחום פעילות משני": "אחר - מורשת והנצחה",
    "שנת דיווח דוח כספי אחרון": null,
    "מחזור כספי (הכנסות)": null,
    "סך הוצאות העמותה": 0,
    "כמות מתנדבים": null,
    "כמות עובדים": null,
    "מספר חברי עמותה": null,
    "איזורי פעילות": "",
    "שנת דיווח אחרונה": null,
    "שם אגודה עותומנית": "",
    "כתובת - ישוב": "תל אביב - יפו",
    "כתובת - רחוב": "זליג",
    "כתובת - מספר דירה": "10",
    "כתובת - מיקוד": 6969352,
    "מטרות עמותה": "איסוף כספים לצורך  שיפוץ מבנה יד לבנים בחדרה ורחבתו ולצורך אחזקתם התקינה."
  },
  "scrapedAt": "2026-09-14T16:19:23.210Z",
  "error": null
}

{
  "imageUrl": null,
  "amuta_id": 580000032,
  "name": "התנועה ליצירה ולעידוד החיוב בישראל מחיקת עמותה",
  "goal": "",
  "status": "נמחקה",
  "address": null,
  "city": null,
  "raw": {
    "_id": 2,
    "מספר עמותה": 580000032,
    "תאריך רישום עמותה": "17/12/1981",
    "שם עמותה בעברית": "התנועה ליצירה ולעידוד החיוב בישראל מחיקת עמותה",
    "שם עמותה באנגלית": "",
    "תאריך עדכון סטטוס": "Aug  6 2000 12:00AM",
    "סטטוס עמותה": "נמחקה",
    "סיווג פעילות ענפי": "ספורט",
    "תחום פעילות משני": "אחר - ספורט",
    "שנת דיווח דוח כספי אחרון": null,
    "מחזור כספי (הכנסות)": null,
    "סך הוצאות העמותה": 0,
    "כמות מתנדבים": null,
    "כמות עובדים": null,
    "מספר חברי עמותה": null,
    "איזורי פעילות": "",
    "שנת דיווח אחרונה": null,
    "שם אגודה עותומנית": "",
    "כתובת - ישוב": "תל אביב - יפו",
    "כתובת - רחוב": "",
    "כתובת - מספר דירה": "",
    "כתובת - מיקוד": 0,
    "מטרות עמותה": ""
  },
  "scrapedAt": "2026-09-14T16:19:23.309Z",
  "error": null
}

✨ Why choose this Actor

	What you get
The government record, whole	raw is the registry row as published, so nothing is lost in translation to a flat schema.
Status you can filter on	Struck off associations are marked, so a list of live ones is one filter away.
A keyword filter at the source	query narrows by name or purpose before rows are written, so you pay for what you asked for.
No credentials	The data.gov.il resource is open. No API key and no account.
$0.0085 a row	A thousand associations costs $8.50.

🚀 How to use it

1. Create a free Apify account. New accounts start with $5 of credit.
2. Open the Actor and select Try for free.
3. Leave resourceId on its default unless you are pointing at a different data.gov.il resource.
4. Set maxItems to cap the run, and query if you want to filter by name or purpose.
5. Select Start, then export from the Dataset tab as CSV, Excel, JSON or XML.

A first run:

{
  "resourceId": "be5b7935-3922-45d4-9638-08871b17ec95",
  "maxItems": 10
}

A filtered pull:

{
  "resourceId": "be5b7935-3922-45d4-9638-08871b17ec95",
  "query": "ספורט",
  "maxItems": 500
}

⚙️ Input

Field	Required	Description
resourceId	No	The data.gov.il resource id for the Amutot dataset. Defaults to be5b7935-3922-45d4-9638-08871b17ec95
maxItems	No	Maximum associations to collect in a run
query	No	Free text search across association name and purpose. Left empty, the Actor walks the resource in order

💰 Pricing

Pay per result. No subscription, and no Apify platform usage on top.

Apify plan	Free	Bronze	Silver	Gold	Platinum	Diamond
Per association row	$0.0085	$0.00817	$0.00783	$0.0075	$0.0075	$0.0075

Rows collected	Cost on the Free plan
100	$0.85
1,000	$8.50
10,000	$85.00

Free plan runs return a small preview. Any paid Apify plan lifts the cap.

🔌 Integrate with any app

The dataset is available through the Apify API as soon as the run finishes. Use run-sync-get-dataset-items for a one-shot call, webhooks to trigger what happens next, or the Make, Zapier, Airbyte and LangChain integrations listed on the Actor page.

🤖 Use with an AI agent

Give an agent live access to the register over the Model Context Protocol:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=acquistion-automation/israel-nonprofits-amutot-scraper"

An agent is a good fit here, since it can read the Hebrew record back to you in English.

❓ Frequently asked questions

Is the data in Hebrew? Yes. The register is published in Hebrew and the Actor does not translate it. raw carries שם עמותה באנגלית, the English name, for associations that filed one.

Does it return the managing members or officers? No. The published resource holds the organisation's own record: number, name, purpose, status, classification, address parts and reported figures. Officer names are not in it.

Why are address and city empty? Those top level fields are not being composed in the current build. The address parts are present on every row inside raw, under כתובת - ישוב, כתובת - רחוב, כתובת - מספר דירה and כתובת - מיקוד.

What does status mean? It is the registry status in Hebrew. רשומה is registered, נמחקה is struck off. Check it before treating an association as active.

How do I export raw to a spreadsheet? CSV and Excel exports flatten the nested object into one column per Hebrew key. JSON keeps it nested.

Why is goal empty on some rows? The register holds no stated purpose for some associations, mostly older or struck off ones. In the reference run, 7 rows in 10 carried a purpose.

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About Acquisition Automation Co.

We build automation for people buying businesses. The repetitive part of an acquisition search, checking listings, pulling public records, tracking owners and assets, is work a machine should do, so the buyer's time goes into judging deals instead of collecting them.

We add new Actors regularly. If there is a source you need and do not see here, tell us.

🆘 Support

Open an issue in the Issues tab of this Actor with your run ID, the input you used, and what you expected to get back.

⚠️ Disclaimer

This Actor is independent and is not affiliated with, endorsed by, or sponsored by the Government of Israel, the Registrar of Associations, or data.gov.il. It collects only publicly available data. You are responsible for using that data in compliance with the source's terms of service and applicable law.