We extract charity profiles, Encompass Rating System beacon scores, IRS Form 990 financial summaries, and executive compensation from Charity Navigator. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Charity Profiles objects from charitynavigator.org. All fields typed and schema-versioned.
"ein": "13-1623891", "organization_name": "American Red Cross", "category": "Human Services", "cause": "Social Services", "state": "DC", "year_founded": 1881
| # | ein | organization_name | mission_statement | category | cause | address_line |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Rating & Beacons objects from charitynavigator.org. All fields typed and schema-versioned.
"ein": "13-1623891", "overall_score": 98.2, "star_rating": 4, "impact_results_score": 100.0, "accountability_finance_score": 96.5, "rating_publication_date": "2026-03-01"
| # | ein | overall_score | star_rating | impact_results_score | accountability_finance_score | culture_community_score |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Financials objects from charitynavigator.org. All fields typed and schema-versioned.
"ein": "13-1623891", "fiscal_year": 2025, "total_revenue": 3450000000.0, "total_expenses": 3410000000.0, "program_expenses_pct": 89.4, "admin_expenses_pct": 6.2
| # | ein | fiscal_year | total_revenue | total_expenses | net_assets | program_expenses_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Leadership & Comp objects from charitynavigator.org. All fields typed and schema-versioned.
"ein": "13-1623891", "ceo_name": "Gail J. McGovern", "ceo_title": "President and CEO", "ceo_compensation": 789450.0, "ceo_compensation_pct": 0.02, "independent_board_members": 18
| # | ein | ceo_name | ceo_title | ceo_compensation | ceo_compensation_pct | board_chair_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Complete list of extractable fields for Accountability objects from charitynavigator.org. All fields typed and schema-versioned.
"ein": "13-1623891", "independent_audit_exists": true, "document_retention_policy": true, "whistleblower_policy": true, "form_990_distribution": true, "material_diversion_of_assets": false
| # | ein | audit_type | independent_audit_exists | document_retention_policy | whistleblower_policy | form_990_distribution |
|---|---|---|---|---|---|---|
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Our Charity Navigator scraper handles every layer of the platform including dynamic Encompass Rating System scores, nested financial summaries, and paginated search results with anti-bot circumvention built in.
Organisation name, EIN, mission statement, category, cause, address, and founding year scraped at the individual profile level.
Capture the overall score, star rating, and individual beacon scores for Impact, Finance, Culture, and Leadership.
Extract total revenue, expenses, net assets, and programmatic expense ratios directly from the parsed Form 990 summaries.
Track CEO pay, title, and the percentage of total expenses allocated to executive compensation.
Audit governance flags including independent audits, whistleblower policies, and document retention rules.
Detect and flag Charity Navigator advisories or warnings indicating severe governance issues or fraudulent behaviour.
Iterate through specific causes, states, or search parameters to build targeted non-profit lists.
Monitor rating fluctuations and beacon score changes over time across thousands of organisations.
Run one-off bulk exports or configure continuous pipelines with change-detection diffing for updated scores.
Brief in. Clean data out.
Provide EIN lists, category URLs, or keyword sets. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and CAPTCHA handling for charitynavigator.org.
Schema validation, null-rate checks, and beacon score anomaly detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Charity Navigator employs rate limiting and dynamic frontend rendering. Here is how we maintain stable extraction infrastructure.
Charity Navigator restricts high-volume IP requests. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing trained on real user behaviour patterns.
Charity Navigator uses modern JavaScript frameworks. We bypass brittle DOM scraping by extracting the underlying JSON state directly from the application hydration layer.
Our selector strategy uses multiple fallback chains per field including CSS selectors, XPath, and API endpoint interception so a layout change does not break your data pipeline.
We maintain a hash index of last-seen values per field. Subsequent runs only push diffs reducing compute cost, storage bloat, and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops.
Wealth managers and family offices use rating and financial data to advise clients on high-impact charitable giving.
Corporate social responsibility teams vet potential non-profit partners for governance standards and financial health.
Foundations automatically screen grant applicants against Charity Navigator accountability metrics and advisory warnings.
Researchers analyse the non-profit sector tracking financial trends, executive compensation, and operational efficiency.
Software vendors target financially healthy non-profits with specific operational budgets or staff sizes.
DAF platforms integrate external rating data to help donors evaluate charities directly within their portals.
"Charity Navigator holds the definitive baseline for non-profit accountability but extracting that intelligence across 200,000 organisations requires serious infrastructure."
Evaluating non-profit health at scale requires more than just parsing HTML. Charity Navigator's dynamic rating system, nested financial data, and pagination models demand headless browser execution and strict schema validation. DataFlirt manages the extraction layer so your analysts can focus on philanthropic intelligence.
Everything supported by our charitynavigator.org scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering and interaction flows.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About charitynavigator.org scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated non-profit profiles, ratings, and financial summaries. We do not extract personal donor data or circumvent authentication walls.
We use residential ISP proxies, realistic browser fingerprints, and request timing modelled on human behaviour. We monitor for rate spikes in real time and trigger pool rotation automatically.
Yes. You can provide a CSV of Employer Identification Numbers and we will map them directly to the corresponding Charity Navigator profiles extracting the full data schema for your specified organisations.
Full catalogue refreshes at a weekly or monthly cadence complete within a defined window. Charity Navigator updates their ratings periodically and our change detection system captures these updates as they are published.
No. We extract the structured financial summaries, executive compensation figures, and accountability metrics that Charity Navigator has already parsed and published on their HTML profiles.
Absolutely. We provide a sample run of up to 500 charity profiles as part of the pre-engagement scoping process so you can validate schema fit and field completeness before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off database dump or a continuous monitoring feed across thousands of charities, we scope, build, and operate the pipeline. Tell us what you need.
