Nonprofit Jobs Scraper · 4 Boards, One Schema

Extract nonprofit and social-sector job postings in a single run from CharityJob (UK), Idealist (US), Pro Bono Australia (Australia) and HacesFalta (Spain) — mapped to one unified schema, deduplicated across sources. No login, no browser to configure.

What you can do with it

• Search charity, NGO and social-sector jobs across the UK, US, Australia and Spain in one run, instead of buying and maintaining 4 separate scrapers.
• Filter once, everywhere: keywords, location, remote and publishedWithinDays apply the same way across all 4 sources.
• Narrow by country: countries keeps only the boards covering the market you need.
• Monitor new postings daily: schedule it with onlyNew checked and publishedWithinDays: 1 to get, and pay for, only what is new since the last run.

Input

Field	What it does
keywords	Job title or cause area, for example fundraising or case manager. Empty means every posting.
location	City or region, for example London or Sydney. Empty means all locations.
countries	Which countries to cover: GB, US, AU, ES. Defaults to all 4.
sources	Which of the 4 job boards to query in this run. Defaults to all 4.
publishedWithinDays	Keep only postings published in the last N days. Use 1 for a daily monitoring run.
remote	Keep only postings with this remote policy: any, remote, hybrid or onsite.
maxItems	The run stops once this many postings are saved, across all sources combined (default 50).
includeDescriptions	Add the job description as plain text (default on).
onlyNew	For scheduled runs: skip postings an earlier run of this same search already delivered.

Output

One record per posting, in the schema shared by every job actor on this account:

Field	Type	Meaning
id	string	Stable identifier (<source>:<native id>), used to deduplicate between runs.
url	string	Public page of the posting.
title	string	Job title as published.
companyName	string or null	Employer name; null when hidden (then confidentialCompany: true).
companyUrl	string or null	Company page on the source site, when it exists.
locationLabel	string or null	Location as displayed by the site.
city	string or null	City.
region	string or null	Region, state or equivalent.
postalCode	string or null	Postal code.
country	string	ISO 3166-1 alpha-2 country code (GB, US, AU, ES).
remote	string	remote, hybrid, onsite or unknown.
employmentType	string	full_time, part_time, contract, freelance, internship, apprenticeship, temporary or unknown.
salaryMin / salaryMax	number or null	Salary range, as numbers. Often empty: many charity postings do not publish one.
salaryCurrency	string or null	ISO 4217 currency code.
salaryPeriod	string or null	hour, day, month or year.
datePosted	string or null	Publication date, ISO 8601.
validThrough	string or null	Expiry date, ISO 8601.
description	string or null	Plain-text description, only when includeDescriptions is on. No personal data.
experienceLevel	string or null	As named by the site.
industry	string or null	As named by the site.
skills	string[]	Skills listed by the site, if any.
source	string	Host name of the source site.
sourceId	string	Native identifier on the source site.
scrapedAt	string	Extraction timestamp, ISO 8601.
opportunityType	string (HacesFalta only)	paid or volunteer — HacesFalta lists both paid nonprofit jobs and unpaid volunteering; every other field stays in the same schema either way.

Why this one

4 nonprofit and social-sector boards across 4 countries in one run, one schema, deduplicated across sources by URL and by (title, company, city). source and country on every row to filter or split by board or market. No connection, no login, no browser to configure.

Good to know

• employmentType and remote are read from each site's own fields when it has one, and left unknown rather than guessed when nothing matches.
• HacesFalta mixes paid jobs and unpaid volunteering on the same board: use opportunityType to tell them apart, or filter it out client-side.
• No personal data: contact details of individuals are stripped from descriptions; only companies are named. CV and candidate-profile pages are never read.

Pricing

Pay per result: $3.00 per 1,000 postings, plus a small start fee. You only pay for the postings you receive, deduplicated across all 4 sources before being counted or charged. Store discounts apply automatically on paid Apify plans: up to 20% off every event on the higher tiers.

Run it from your code

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('bibian/nonprofit-jobs-scraper').call({
  keywords: 'fundraising',
  maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient

client = ApifyClient(token="<APIFY_TOKEN>")
run = client.actor("bibian/nonprofit-jobs-scraper").call(run_input={
    "keywords": "fundraising",
    "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Monitor new postings daily and connect your tools

1. Schedule it. Save a task, set its publication date filter to the shortest window, and schedule it daily with Apify Schedules. Tick Only new results in the input and each run returns, and charges, only the postings that earlier runs of the same search did not deliver.
2. Push the results where you work. Add an Apify integration or a webhook to the task: Google Sheets, Slack, Make, Zapier, n8n or your own endpoint, triggered at the end of every run.
3. Call it from your stack. The API and the JavaScript and Python clients return the dataset as JSON, CSV or Excel.
4. Let an AI agent use it. Through the Apify MCP server, assistants such as Claude or ChatGPT can search the Store, read this page and run the actor as a tool.

Frequently asked questions

Do I need an account, cookies or a proxy? No. The actor reads publicly visible pages only.

Does it include volunteering, or only paid jobs? Both are included from HacesFalta (tagged with opportunityType); the other 3 boards are paid jobs only.

Which formats can I export? JSON, CSV, Excel, XML, HTML table or RSS, from the dataset page or through the API.

Is it legal to scrape? The actor collects publicly visible postings and respects the robots.txt rules of each site. How you use the data is your responsibility: check each site's terms and the laws that apply to you, for example the GDPR.

Something does not work? Open an issue in the Issues tab. Every public actor is test-run daily and the broken ones are repaired.

Did this save you time? A short review on the Store page helps other people find the actor, and tells me what to improve next.

Who uses it

• Recruiting agencies and HR teams watch which companies hire, for which roles and at which salary, in their market.
• Job boards and aggregators feed their own site with fresh postings in a stable schema, without maintaining a parser.
• B2B sales and lead generation: a company that is hiring is a company that is buying. Filter postings by role to spot prospects early.
• Labour-market research: salaries, skills in demand, remote share and hiring volume over time.

Pricing

Pay per result: $3.00 per 1,000 postings, plus $0.01 per run start with the default 4 GB of memory. For example, 100 postings cost about $0.31. You only pay for the postings you receive, and platform usage is included in that price. Store discounts apply automatically on paid Apify plans: up to 20% off every event on the higher tiers.

Run it from your code

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('bibian/nonprofit-jobs-scraper').call({
  maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient

client = ApifyClient(token="<APIFY_TOKEN>")
run = client.actor("bibian/nonprofit-jobs-scraper").call(run_input={
    "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Monitor new postings daily and connect your tools

1. Schedule it. Save a task, set its publication date filter to the shortest window, and schedule it daily with Apify Schedules. Deduplicate on the id field if you keep your own copy. Tick Only new results in the input and each run returns, and charges, only the postings that earlier runs of the same search did not deliver.
2. Push the results where you work. Add an Apify integration or a webhook to the task: Google Sheets, Slack, Make, Zapier, n8n or your own endpoint, triggered at the end of every run.
3. Call it from your stack. The API and the JavaScript and Python clients return the dataset as JSON, CSV or Excel.
4. Let an AI agent use it. Through the Apify MCP server, assistants such as Claude or ChatGPT can search the Store, read this page and run the actor as a tool.

Frequently asked questions

Do I need an account, cookies or a proxy for Nonprofit? No. The actor reads publicly visible pages only.

Which formats can I export? JSON, CSV, Excel, XML, HTML table or RSS, from the dataset page or through the API.

Is it legal to scrape? The actor collects publicly visible postings and respects the robots.txt rules of the site. How you use the data is your responsibility: check the site's terms and the laws that apply to you, for example the GDPR.

Need another site, a missing field or a new filter? Open an issue in the Issues tab and say what you need, with an example URL if you have one. Requests are read, and the most asked ones are built next.

Need a custom version built for you? I also build private versions and custom scrapers: another site, extra fields, a specific output format, or delivery straight to Google Sheets, a database or a webhook. Open an issue in the Issues tab with what you need and an example URL, and I will reply there with a quote.

Something does not work? Open an issue in the Issues tab. Every public actor is test-run daily and the broken ones are repaired.

Did this save you time? A short review on the Store page helps other people find the actor, and tells me what to improve next.

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