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EatRight RDN Directory Scraper - Dietitian Finder

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EatRight RDN Directory Scraper - Dietitian Finder

EatRight RDN Directory Scraper - Dietitian Finder

Scrape the Academy of Nutrition and Dietetics' Find a Nutrition Expert directory. Extracts contact details, specialties, insurance, languages, and telehealth availability for ~100k registered dietitian nutritionists (RDNs) across the US.

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BowTiedRaccoon

BowTiedRaccoon

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25 days ago

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EatRight RDN Directory Scraper — Dietitian Contacts

Scrape the Academy of Nutrition and Dietetics' Find a Nutrition Expert directory for ~100,000 credentialed US Registered Dietitian Nutritionist (RDN) profiles. The Academy of Nutrition and Dietetics is the only nationally recognized credentialing body for RDNs in the United States, which means this directory is the authoritative source — not a self-reported contact list or an aggregator. Returns contact details, specialties, accepted insurance, languages, and telehealth availability.

What does the EatRight RDN Directory Scraper do?

The scraper walks the Academy's JSON listing API across ~974 US cities (for in-person RDNs) and 61 state-level queries (for telehealth-only RDNs), then enriches each unique RDN with detail-page fields such as full specialty list and insurance accepted. It deduplicates by RDN ID so each professional appears exactly once. No proxy is required — the eatright.org API serves public traffic.

What data does it extract?

FieldTypeDescription
idstringUnique RDN identifier from the directory
namestringFull name including credentials (e.g. Jane Smith, MS RDN LDN)
credentialsstringCredential string parsed from name (e.g. MS RDN LDN)
practice_namestringPractice or employer name
phonestringPhone number formatted as (XXX) XXX-XXXX
emailstringContact email when listed
websitestringPractice or personal website URL
addressstringStreet address
citystringCity
statestringTwo-letter state code
zipstringZIP code
telehealthbooleanRDN offers telehealth appointments
in_personbooleanRDN offers in-person appointments
specialtiesstringSpecialties, pipe-separated (e.g. Diabetes|Sports Nutrition|Eating Disorders)
insurance_acceptedstringAccepted insurance or payment options, pipe-separated
languagesstringLanguages spoken, pipe-separated
profile_urlstringFull URL to the RDN's eatright.org profile
scraped_atstringISO timestamp when the record was scraped

How to use it

Set states to the full state names you want, or leave it empty for all 50 states plus DC. Set maxItems to a small number for a test run, or 0 for the full directory.

{
"states": ["California", "Texas", "New York"],
"maxItems": 1000
}
{
"states": [],
"maxItems": 0
}
FieldTypeDefaultDescription
statesarray[]Full US state names (e.g. California). Empty = all 50 states + DC.
maxItemsinteger10Cap on records. 0 = scrape every available RDN.

Use cases

  • Lead generation for pharma and supplement companies — The specialties field (pipe-separated) enables precise audience segmentation. Filter to specialties LIKE '%Diabetes%' or '%Sports Nutrition%' to reach RDNs who work directly in your product's therapeutic area rather than sending to the full 100k list. A targeted list of 2,000 diabetes-specialist RDNs converts better than a broad broadcast.

  • Telehealth platform recruitment — Filter telehealth = true to find RDNs already offering remote visits. Cross-reference with languages to find bilingual candidates for specific markets.

  • Insurance network adequacy verification — Match listed RDNs against in-network provider rosters using commission number and state to verify geographic coverage requirements for regulatory filings.

  • Academic workforce research — Study the geographic distribution, specialty composition, and credentialing patterns of the US RDN workforce at the state or city level.

  • Healthcare referral platforms — Source credentialed, contact-ready RDN profiles for referral directories or patient-matching tools, with the confidence that every record holds an Academy-recognized credential.

FAQ

How do I filter the output by specialty? Every record includes a specialties field with pipe-separated values (e.g. Diabetes|Eating Disorders|Sports Nutrition). In a CSV, filter the column using contains("Diabetes"). In SQL: WHERE specialties LIKE '%Diabetes%'. In Excel, use a column filter with "contains." The pipe separator means you can split the field into an array if your tooling supports it.

Is this data public? Yes. The Academy's Find a Nutrition Expert directory is publicly accessible without login. RDNs opt in to directory listing as part of their Academy membership.

What export formats are available? Apify supports JSON, CSV, Excel, and XML export directly from the dataset view.