Charity Email Scraper

Charity Email Scraper 🎯 — Extract Charity Contact Emails at Scale

Manually hunting down charity contact emails wastes hours and often turns into messy spreadsheets. Charity Email Scraper finds the right charity businesses for your search terms and extracts their contact information (including emails, phone numbers, and social links), so marketers, recruiters, and growth teams can build lead lists faster. This charity email scraper tool is ideal for outreach, nonprofit partnerships, and donor acquisition workflows—getting you usable results from a single run at scale, often producing thousands of records in minutes.

---

What You Get: Sample Output

Here's a sample record from a single run:

{
  "name": "BrightPath Community Foundation",
  "website": "https://brightpathfoundation.org",
  "phone": "+1 212-555-0199",
  "full_address": "120 Madison Ave New York NY 10010 US",
  "city": "New York",
  "state": "NY",
  "zip": "10010",
  "country_code": "US",
  "scraped_emails": [
    "donations@brightpathfoundation.org",
    "info@brightpathfoundation.org"
  ],
  "scraped_phones": [
    "+1 212-555-0199"
  ],
  "scraped_social_media": [
    "https://www.linkedin.com/company/brightpathfoundation/",
    "https://www.facebook.com/brightpathfoundation/"
  ],
  "emails_found": 2,
  "pages_scraped": 6,
  "avg_rating": 4.5,
  "total_reviews": 124,
  "lat": 40.7506,
  "long": -73.9935,
  "place_id": "ChIJN1t_tDeuEmsRUsoyG83frY4",
  "scrape_status": "success",
  "email_found": "donations@brightpathfoundation.org"
}

Field	Type	What It Tells You
name	string	The business/charity name you can reference in outreach
website	string	The website where the contact data was pulled from
phone	string	Primary phone (as captured in the business listing data)
full_address	string	Readable address string to help with CRM enrichment
city	string	City for segmentation (and easier list filtering)
state	string	State/region for region-based campaigns
zip	string	ZIP code for local targeting
country_code	string	Country code for consistent geography handling
scraped_emails	array	All email addresses found on the charity’s site(s)
scraped_phones	array	Additional phone numbers extracted from the website
scraped_social_media	array	Social links to help validate legitimacy and build rapport
emails_found	number	How many emails were found for the business
pages_scraped	number	How much site content was processed for that business
avg_rating	number	Listing rating to prioritize higher-trust results
total_reviews	number	Number of reviews shown with the listing
place_id	string	Stable place identifier for deduping and matching
scrape_status	string	Outcome status like success, failed, no_website, or error
email_found	string	The single email value for each flattened dataset row

Export your dataset as JSON, CSV, or Excel — straight from the Apify dashboard.

---

Why Charity Email Scraper?

There are a lot of ways to pull contact data from the web — here’s what sets Charity Email Scraper (charity email scraper tool, nonprofit email scraper) apart.

Built for outreach-ready charity contact lists

Charity Email Scraper is designed to collect contact information (emails, phone numbers, social links) for businesses matching your charity search term and target locations. It’s a solid fit for email harvesting for charities and lead generation email scraper nonprofit workflows.

Structured results with flattened email rows

Your output includes business-level fields plus a per-row email_found, making it easy to import into CRMs or spreadsheets without manual splitting. You also get scraped_emails, emails_found, and scrape_status so you can filter successes vs. failures.

Uses your inputs to control volume

You can cap results with maxBusinesses (and optionally control whether that cap is applied per location). This helps you run quickly for tests or scale to larger nonprofit email scraper projects.

Resilient scraping with status tracking

If a business can’t be processed (for example, no website is found), it records a scrape_status like no_website. If something goes wrong during website scraping, it captures scrape_status as failed or error, including scrape_error when applicable.

---

Configuring Your Run

Drop this into your input.json to get started:

{
  "googleMapsSearchTerm": "Charity",
  "googleMapsLocation": ["New York"],
  "maxBusinesses": 5,
  "scrapeMaxBusinessesPerLocation": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Parameter	Required	What It Does
googleMapsSearchTerm	✅	The business type or niche you want to target (example: Charity)
googleMapsLocation	✅	One or more target locations to search in (for example: New York)
maxBusinesses	⬜	Sets the target number of businesses to find that have contact emails; the scraper stops when this target is reached (range: 1–1000)
scrapeMaxBusinessesPerLocation	⬜	If enabled, the scraper collects up to maxBusinesses results per location; if disabled, it combines all locations up to a single total limit
proxyConfiguration	⬜	Proxy settings for web scraping (recommended for larger scraping runs)
↳ proxyConfiguration.proxy support	⬜	When set to true, route requests through Apify Proxy for better reliability

---

Core Capabilities

Charity-first contact discovery

Charity Email Scraper uses your googleMapsSearchTerm and googleMapsLocation inputs to find relevant businesses and then extract contact information from the business website(s). This makes it useful for scrapes emails from nonprofit websites and nonprofit outreach list building.

Email, phone, and social extraction

For each business, the actor extracts scraped_emails, along with scraped_phones and scraped_social_media. This is helpful when you need more than just a donor email address to build richer donor outreach and validation workflows.

Max-results controls for predictable lead volume

Use maxBusinesses to cap the total number of businesses (and therefore emails) you want. With scrapeMaxBusinessesPerLocation, you can decide whether that cap is applied per location or across all locations—useful for batching and budgeting.

Status-aware output for clean filtering

Every record includes scrape_status, and failures can include scrape_error. You can reliably separate successes from no_website cases or failed runs, which is essential for making a verified email list for nonprofits.

Built-in proxy support for reliable scraping

The actor accepts proxyConfiguration for web scraping reliability, which can be important for bulk email scraper for charities use cases. This helps reduce the chance of scraping interruptions when processing many sites.

---

Who Gets the Most Out of This

Here's how different teams put Charity Email Scraper to work:

Outreach & Partnerships Teams — Build a charity contact email finder list by searching a nonprofit niche and location set, then importing email_found into your outreach workflow with scrape_status for quick filtering. You end up with cleaner segmentation for donor outreach and partnership campaigns.

Growth Marketers — Use this nonprofit email scraper to scale lead generation email scraper nonprofit efforts without manually visiting sites. They can run smaller test batches first (via maxBusinesses) and then increase volume once the list quality is proven.

Recruiters & Talent Sourcers — If a charity or NGO has public contact emails for hiring, programs, or partnerships, Charity Email Scraper helps gather those emails alongside phone and social links. That means faster research and fewer spreadsheet cleanup steps.

Data Analysts & Research Teams — Turn public web data into structured datasets, including geography fields (city, state, zip, country_code), ratings (avg_rating, total_reviews), and processing outcomes (pages_scraped, scrape_status). It’s well-suited for building public charity email database scraper style datasets.

Developers & Automation Specialists — Automate charity contact info scraping via the Apify platform and then route the resulting dataset into downstream processes. The dataset is designed to be integration-ready for pipelines that need consistent JSON fields and per-email rows.

---

Step-by-Step: How to Use It

No coding needed. Here's how to run Charity Email Scraper from start to finish:

1. Open the actor on Apify — visit console.apify.com and open Charity Email Scraper.
2. Enter your inputs — set googleMapsSearchTerm and googleMapsLocation first, then adjust maxBusinesses and (optionally) scrapeMaxBusinessesPerLocation.
3. Configure proxy settings — if you’re running larger batches, enable the provided proxy configuration for more reliable scraping.
4. Hit Run and watch the live log — monitor progress and any scrape_status outcomes during the run.
5. View results in the dataset tab — your dataset table includes fields like name, website, scraped_emails, emails_found, and scrape_status.
6. Export as JSON, CSV, or Excel — download directly from the Apify dashboard.

The whole process takes under 5 minutes to set up.

---

Integrations & Export Options

Once your data is collected, Charity Email Scraper plugs directly into your existing workflow.

You can export your Apify dataset in JSON, CSV, or Excel directly from the dataset tab—ideal for spreadsheets, BI tools, and data cleaning pipelines. For more structured import steps, connect your dataset using Apify’s native integration options or automation tools.

You can also use API access to pull results programmatically via the Apify API: https://apify.com/docs/api. If you want automatic downstream actions, use webhooks (e.g., to push contacts into a CRM or trigger enrichment steps) or run this actor on a schedule (cron) for recurring charity contact email database updates.

---

Pricing & Free Trial

Charity Email Scraper runs on the Apify platform, which offers a free tier — no credit card required to get started. You can begin with a small test batch (using maxBusinesses) and then scale based on how many contacts you need.

After the free tier, usage is typically pay-as-you-go on Apify’s platform compute model, and you can upgrade your plan as your automation grows. Start for free at apify.com and scale when you're ready.

---

Reliability & Performance

What We Handle	How
Rate limiting concerns	Built to scrape reliably with configurable proxy support
Scraping interruptions	Records scrape_status (like success, failed, no_website, error) so you can filter outcomes
Empty website cases	Businesses without websites are still captured with an explicit scrape_status and empty email fields
Operational visibility	Dataset rows include counts like emails_found and pages_scraped for result auditing
Scale control	Uses maxBusinesses and scrapeMaxBusinessesPerLocation to keep output volume predictable

Limitations: This actor focuses on publicly accessible business websites and extracts what’s available there. If a charity doesn’t publish contact emails on its website, your emails_found may be low even when scrape_status indicates the process completed.

For enterprise-scale runs, contact us to discuss custom configurations.

---

Frequently Asked Questions

Is there a free plan or trial?

Yes—Apify provides a free tier for actor runs. That lets you test Charity Email Scraper with smaller inputs before scaling up.

Do I need to log in to use Charity Email Scraper?

No. The actor is designed to work with publicly available data and uses business websites to extract contact details.

How accurate is the data?

Accuracy depends on what charities publish on their websites. Charity Email Scraper extracts emails and other contact details into structured fields, and it records outcomes using scrape_status so you can audit results.

How many results can I get per run?

You control this with maxBusinesses (range 1–1000). If you enable scrapeMaxBusinessesPerLocation, the cap applies per location; otherwise it’s combined across locations.

How often is the data updated / how fresh is it?

Data freshness depends on when you run the actor. Each run scrapes current publicly available website content and writes results to your dataset immediately.

Is this legal? Does it comply with GDPR / CCPA?

The actor works with publicly available data that charities publish for public access. You’re responsible for ensuring your use, storage, and outreach practices comply with GDPR, CCPA, the charity’s terms, and applicable local regulations.

Can I export results to Google Sheets or Excel?

Yes. You can export your dataset in JSON, CSV, or Excel from the Apify dashboard, then import into Google Sheets or your preferred spreadsheet/CRM setup.

Can I run this on a schedule automatically?

Yes. You can schedule actor runs using Apify’s scheduling features for recurring scraping jobs.

Can I access this via API?

Yes. You can retrieve results programmatically via the Apify API (see: https://apify.com/docs/api).

What happens if the actor hits an error?

If website scraping fails or a business can’t be processed, the record will include scrape_status such as failed or error, and in error cases it may include scrape_error. You can filter these statuses in your dataset export.

---

Need Help or Have a Request?

Got a question about Charity Email Scraper or want a new feature added? Reach out at dataforleads@gmail.com. We respond to feedback and can help you think through workflows like batch lead generation email scraper nonprofit runs and webhook-based automations.

---

Disclaimer & Responsible Use

Charity Email Scraper is the fastest, most reliable way to build charity contact email lists from public web data — start your free run today.

publicly available data only: this actor does not access private accounts, login-gated content, or password-protected pages. You are responsible for complying with GDPR, CCPA, applicable platform terms, and local laws. For data removal requests, contact dataforleads@gmail.com. Use responsibly, ethically, and only for lawful purposes.