Charity & Nonprofit Mega Pack Scraper

Charity & Nonprofit Mega Pack Scraper

Scrape IRS tax-exempt organizations, Idealist nonprofit jobs, and Crossref funders in one run. Get EINs, addresses, mission statements, job listings, and funder IDs. No API keys. Export to CSV, JSON, Excel, or XML.

Finding nonprofit data usually means juggling three separate sources: the IRS Exempt Organizations Master File, Idealist job boards, and the Crossref Funder Registry. This Actor queries all three at once, so you get a unified view of charities, their job postings, and their funding sources. Run it by state, keyword, or listing type, and get clean rows back.

Who uses it	What they scrape Charity & Nonprofit Mega Pack for
Nonprofit researchers	Build a list of active charities in a state with their EINs and addresses
Grant writers	Find funders by name and get their Crossref Funder IDs for proposals
Job boards	Aggregate nonprofit job and internship listings from Idealist
Data analysts	Combine IRS, Idealist, and Crossref data for sector-wide analysis

What it does

This Actor collects charity records from the IRS Exempt Organizations Master File, nonprofit job and volunteer listings from Idealist, and funder records from the Crossref Funder Registry, returning each match as a flat row.

• 🏛️ IRS Exempt Organizations: EIN, legal name, address, and exemption type for every registered charity in a US state.
• 💼 Idealist listings: Jobs, internships, volunteer opportunities, and organization profiles matching your keyword.
• 🔗 Crossref Funders: Funder names, IDs, and metadata for grant and publication tracking.
• 📦 Unified output: All sources in one dataset, with a source field so you can filter rows.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Charity & Nonprofit Mega Pack data

📋 Build a state charity directory.

A nonprofit consultant runs the Actor with state=CA and sources=irs-eo to get every registered charity in California, then filters by exemption type to target outreach.

💼 Aggregate nonprofit job listings.

A job board operator sets query=education and idealistType=JOB to collect all education nonprofit jobs from Idealist, then republishes them with attribution.

🔍 Find funders for a grant proposal.

A grant writer searches query=climate and sources=crossref-funders to get funder names and IDs, then uses the IDs in the proposal's funder registry section.

📊 Analyze the nonprofit sector.

A data analyst pulls IRS records for all 50 states and joins them with Idealist job counts to study nonprofit employment trends by region.

Why choose this scraper

	What you get
One run, three sources	No need to scrape IRS, Idealist, and Crossref separately
Flat, clean rows	Every record has the same schema, ready for spreadsheets or databases
State-level IRS data	Pull all exempt organizations in a state, up to a million per run
Funder IDs included	Get Crossref Funder IDs for grant applications and reporting

How it compares

No other Store actor targets Charity & Nonprofit Mega Pack the same way, so the honest comparison is with the alternatives teams actually weigh.

	Charity & Nonprofit Mega Pack Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When Charity & Nonprofit Mega Pack changes	Maintained for you	You fix it	You re-learn the page
Proxies, retries, anti-bot	Built in	Your problem	Browser only
Output	Fixed JSON schema, CSV/Excel export	Whatever you build	Copy-paste
Cost	Pay per result	Engineering time	Analyst hours

Configure the run

Drive the Actor with a keyword query, a US state for IRS records, and an Idealist listing type. Filters run per source, so you get only the rows that match. The Input tab lists every parameter.

A first run with the defaults:

{
  "query": "education",
  "sources": [
    "irs-eo",
    "idealist",
    "crossref-funders"
  ],
  "maxItems": 10,
  "state": "DC",
  "idealistType": "JOB"
}

A larger pull:

{
  "query": "education",
  "sources": [
    "irs-eo",
    "idealist",
    "crossref-funders"
  ],
  "maxItems": 200,
  "state": "DC",
  "idealistType": "JOB"
}

Pricing

Pay-per-result: $0.021 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$2.10
1,000 results	$21.00
10,000 results	$210.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the Charity & Nonprofit Mega Pack Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to Charity & Nonprofit Mega Pack through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/charity-nonprofit-mega-pack-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check your filters. For IRS, make sure you set a valid state code. For Idealist, try a broader query or remove the idealistType filter. For Crossref, try a shorter funder name.

Why is my run slow?

The Actor respects each source's rate limits. If you are pulling a large state like CA, increase maxItems or split the run by exemption type.

Why are some IRS records missing fields?

The IRS master file has optional fields. Some organizations may not have a secondary name or a recent filing date. That is normal.

Why did my Idealist search return jobs outside my keyword?

Idealist search is fuzzy. Try a more specific query or use the idealistType filter to narrow to jobs only.

Why do I see duplicate funder names in Crossref?

Crossref may have multiple entries for the same funder with different IDs. Use the funder ID to distinguish them.

FAQ

Question	Answer
What sources does this Actor scrape?	It scrapes the IRS Exempt Organizations Master File, Idealist nonprofit listings, and the Crossref Funder Registry. You can select one, two, or all three sources per run.
Do I need an API key for any of these sources?	No. The Actor reads public data directly from each source. No registration or API key is required.
How do I get IRS data for a specific state?	Set the 'state' field to a US state code like CA or NY. The Actor will pull all exempt organizations in that state, up to your maxItems limit.
Can I search Idealist by keyword?	Yes. Use the 'query' field for a free-text search, and optionally set 'idealistType' to JOB, INTERNSHIP, VOLOP, or ORG to narrow results.
What is the Crossref Funder Registry?	It is a public list of organizations that fund research, maintained by Crossref. Each funder has a unique ID used in grant and publication metadata.
How many records can I get per run?	You can set maxItems up to 1,000,000. The Actor will stop after collecting that many records across all selected sources.
What output formats are supported?	You can export results as CSV, JSON, Excel, or XML from the Apify dataset.
Does the Actor deduplicate records across sources?	No. Each source returns its own records with a source field. You can deduplicate in your own pipeline if needed.
Can I run this on a schedule?	Yes. Use Apify's scheduler to run the Actor daily, weekly, or on any cron schedule.
Is the data live or cached?	The Actor fetches live data from each source on every run. There is no caching.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by IRS, Idealist, and Crossref. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.