🔔 AccessGUDID Medical Device Records Scraper

Scrape FDA AccessGUDID medical device records: device identifiers, company, model, publish dates and labeler details from the official GUDID database. Run it once and you get the current records as a dataset; put it on a schedule to keep the list current.

One device_record per GUDID device from the official NLM/FDA AccessGUDID checksummed release feed — keyless, logged-out.

Difference: One record per device in a checksum-verified GUDID release file (daily/weekly/monthly): primary DI + issuing agency, brand, model, catalog, company + DUNS, description, device count, commercial-distribution status, product codes + GMDN terms, FDA premarket submission linkage, device sizes, and version/publish dates. Customer-contact email/phone fields are stripped at ingest.

Output is one gudid_device row per result; billing is pay-per-event, the value event being one accessgudid device release feed (a $0.02 start fee per run, then $0.02 per accessgudid device release feed). Source: accessgudid.nlm.nih.gov.

No login, no API key and no CAPTCHA solving are involved: the source is read logged-out with an identified contact User-Agent.

Who buys this

Buyers usually search for GUDID medical device or device UDI.

• Regulatory-affairs, quality and product-safety teams monitoring GUDID medical device.
• Distributors, retailers and supply-chain risk teams checking device UDI.
• Analysts and consultants tracking approvals, recalls and alerts in their market.

📊 Sample Output

Real rows from run xHilEL7mWkoeUZVWd on build 0.1.8 (2026-09-27), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

primary_di	brand_name	version_model_number	company_name	duns_number	device_description
J011851113000	N.A.	851-113-00	DENTAURUM GmbH & Co.KG	315427286	Standard Band, Tooth 43/33, Size 13
J011851108000	N.A.	851-108-00	DENTAURUM GmbH & Co.KG	315427286	Standard Band, Tooth 43/33, Size 8
J011772208020	N.A.	772-208-02	DENTAURUM GmbH & Co.KG	315427286	Extraoral latex elastics,strong,Ø 8.0mm
J011012350000	N.A.	012-350-00	DENTAURUM GmbH & Co.KG	315427286	Tweed loop forming pliers, Premium Line
G662ME59A1561	Maguire	ME59A156	Maguire Enterprises, Inc.	151769494	Interconnect alarm
G662ME561P1	Maguire	ME561P	Maguire Enterprises, Inc.	151769494	Interconnect EMR
G559HF2950100	HyperFlex® Bunion Correction System	HF-2950-10	HYPERFLEX MEDICAL INC.	119512231	Hyperflex Snap-Off Screw Pack
G559HF2915RT0	HyperFlex® Bunion Correction System	HF-2915-RT	HYPERFLEX MEDICAL INC.	119512231	Hyperflex Tamp Pack - Right

The run finished with the status message: NORMAL: 50 unique rows (0 duplicates collapsed). billable=50

✅ What you get

Each row is flat JSON with these fields (from the dataset schema and the sample run; a field the source does not publish for a given row is null):

• record_type (string) — e.g. gudid_device
• primary_di (string/null) — e.g. J011851113000
• di_issuing_agency (string/null) — e.g. HIBCC
• brand_name (string/null) — e.g. N.A.
• version_model_number (string/null) — e.g. 851-113-00
• catalog_number (string/null) — e.g. ME59A156
• company_name (string/null) — e.g. DENTAURUM GmbH & Co.KG
• duns_number (string/null) — e.g. 315427286
• device_description (string/null) — e.g. Standard Band, Tooth 43/33, Size 13
• device_count (string/null) — e.g. 10
• distribution_status (string/null) — e.g. Not in Commercial Distribution
• distribution_end_date (string/null) — e.g. 2026-09-25
• record_status (string/null) — e.g. Published
• version_number (string/null) — e.g. 3
• version_date (string/null) — e.g. 2026-09-25
• publish_date (string/null) — e.g. 2016-09-15
• product_codes (string/null) — e.g. [{"code": "ECM", "name": "BAND, PREFORMED, ORTHODONTIC"}]
• gmdn_terms (string/null) — e.g. [{"name": "Orthodontic metal band", "definition": "A thin metal ring designed to
• premarket_submissions (string/null) — e.g. [{"number": "K935144", "supplement": "000"}]
• fda_premarket_submission (string/null) — null in every sample row
• device_sizes (string/null) — null in every sample row
• payload_sha256 (string/null) — e.g. 3b5adbc692acdc5f3bd364e98d600d381f4fc86c326aacbd3449a17aa8c31902
• release_file (string/null) — e.g. gudid_daily_update_20260925.zip
• source (string/null) — e.g. accessgudid-device-release-feed
• release_date (string/null) — null in every sample row
• source_url (string/null) — e.g. https://accessgudid.nlm.nih.gov/release_files/download/gudid_daily_update_202609
• observed_at (string/null) — e.g. 2026-09-27T16:11:52Z
• license (string/integer/null) — e.g. Public domain — U.S. NLM/FDA AccessGUDID (GUDID)
• attribution (string/integer/null) — e.g. Source: AccessGUDID, U.S. National Library of Medicine / FDA (accessgudid.nlm.ni
• terminal (string/integer/null) — null in every sample row
• reported_total (string/integer/null) — null in every sample row
• raw_seen (string/integer/null) — null in every sample row
• duplicates (string/integer/null) — null in every sample row
• unique_found (string/integer/null) — null in every sample row
• delivered (string/integer/null) — null in every sample row
• scope (string/integer/null) — null in every sample row
• note (string/integer/null) — null in every sample row

✅ What you get

• record_type (string) — e.g. gudid_device
• primary_di (string/null) — e.g. M368560WH1
• di_issuing_agency (string/null) — e.g. HIBCC
• brand_name (string/null) — e.g. INTENSA
• version_model_number (string/null) — e.g. 560-WH
• catalog_number (string/null) — null in every sample row
• company_name (string/null) — e.g. GF HEALTH PRODUCTS, INC.
• duns_number (string/null) — e.g. 132016168
• device_description (string/null) — e.g. Powered Exam Table, Super White
• device_count (string/null) — e.g. 1
• distribution_status (string/null) — e.g. In Commercial Distribution
• distribution_end_date (string/null) — null in every sample row
• record_status (string/null) — e.g. Published
• version_number (string/null) — e.g. 1
• version_date (string/null) — e.g. 2026-09-18
• publish_date (string/null) — e.g. 2026-09-10
• product_codes (string/null) — e.g. [{"code": "LGX", "name": "Table, Examination, Medical, Powered"}]
• gmdn_terms (string/null) — e.g. [{"name": "Examination/treatment table, line-powered", "definition": "A mobile,
• premarket_submissions (string/null) — null in every sample row
• fda_premarket_submission (string/null) — null in every sample row
• device_sizes (string/null) — null in every sample row
• payload_sha256 (string/null) — e.g. 8aea46f9fbe0d384dc4175dd756480741c75500ecab0cf1334116dffdeba5e89
• release_file (string/null) — e.g. gudid_daily_update_20260918.zip
• source (string/null) — e.g. accessgudid-device-release-feed
• release_date (string/null) — null in every sample row
• source_url (string/null) — e.g. https://accessgudid.nlm.nih.gov/release_files/download/gudid_daily_update_202609
• observed_at (string/null) — e.g. 2026-09-18T21:33:01Z
• license (string/integer/null) — e.g. Public domain — U.S. NLM/FDA AccessGUDID (GUDID)
• attribution (string/integer/null) — e.g. Source: AccessGUDID, U.S. National Library of Medicine / FDA (accessgudid.nlm.ni
• terminal (string/integer/null) — null in every sample row
• reported_total (string/integer/null) — null in every sample row
• raw_seen (string/integer/null) — null in every sample row
• duplicates (string/integer/null) — null in every sample row
• unique_found (string/integer/null) — null in every sample row
• delivered (string/integer/null) — null in every sample row
• scope (string/integer/null) — null in every sample row
• note (string/integer/null) — null in every sample row

✅ What you get

• record_type (string) — e.g. gudid_device
• primary_di (string/null) — e.g. M368560WH1
• di_issuing_agency (string/null) — e.g. HIBCC
• brand_name (string/null) — e.g. INTENSA
• version_model_number (string/null) — e.g. 560-WH
• catalog_number (string/null) — null in every sample row
• company_name (string/null) — e.g. GF HEALTH PRODUCTS, INC.
• duns_number (string/null) — e.g. 132016168
• device_description (string/null) — e.g. Powered Exam Table, Super White
• device_count (string/null) — e.g. 1
• distribution_status (string/null) — e.g. In Commercial Distribution
• distribution_end_date (string/null) — null in every sample row
• record_status (string/null) — e.g. Published
• version_number (string/null) — e.g. 1
• version_date (string/null) — e.g. 2026-09-18
• publish_date (string/null) — e.g. 2026-09-10
• product_codes (string/null) — e.g. [{"code": "LGX", "name": "Table, Examination, Medical, Powered"}]
• gmdn_terms (string/null) — e.g. [{"name": "Examination/treatment table, line-powered", "definition": "A mobile,
• premarket_submissions (string/null) — null in every sample row
• fda_premarket_submission (string/null) — null in every sample row
• device_sizes (string/null) — null in every sample row
• payload_sha256 (string/null) — e.g. 8aea46f9fbe0d384dc4175dd756480741c75500ecab0cf1334116dffdeba5e89
• release_file (string/null) — e.g. gudid_daily_update_20260918.zip
• source (string/null) — e.g. accessgudid-device-release-feed
• release_date (string/null) — null in every sample row
• source_url (string/null) — e.g. https://accessgudid.nlm.nih.gov/release_files/download/gudid_daily_update_202609
• observed_at (string/null) — e.g. 2026-09-18T20:56:14Z
• license (string/integer/null) — e.g. Public domain — U.S. NLM/FDA AccessGUDID (GUDID)
• attribution (string/integer/null) — e.g. Source: AccessGUDID, U.S. National Library of Medicine / FDA (accessgudid.nlm.ni
• terminal (string/integer/null) — null in every sample row
• reported_total (string/integer/null) — null in every sample row
• raw_seen (string/integer/null) — null in every sample row
• duplicates (string/integer/null) — null in every sample row
• unique_found (string/integer/null) — null in every sample row
• delivered (string/integer/null) — null in every sample row
• scope (string/integer/null) — null in every sample row
• note (string/integer/null) — null in every sample row

What you get

One device_record per record, deduplicated on its natural key. A run_receipt row carries the source URL, scope, license, attribution, and totals.

⚙️ Sample inputs

1. Quick start — the Store example (this is what the sample above came from)

{
  "maxRecords": 10,
  "release": "daily"
}

The sample run charged exactly: 2 × $0.02 apify-actor-start + 50 × $0.02 device_record = $1.04 on the Free tier — every delivered row was billed. If you leave maxRecords out, the run delivers at most 50 rows (the schema default); pass a number up to 2000000 for a bigger export. An explicit value is always honoured up to that maximum.

2. A smaller, narrowed run

{
  "maxRecords": 5,
  "release": "daily"
}

Caps the run at 5 rows — about $0.12 on the Free tier ($0.02 start + 5 × $0.02). release narrows what the source is asked for.

3. A full-size run

{
  "maxRecords": 5000,
  "release": "daily"
}

Up to 5000 rows — about $100.02 on the Free tier ($0.02 start + 5000 × $0.02) if the source has that many; maxRecords goes up to 2000000.

4. A filtered run

{
  "maxRecords": 10,
  "release": "daily",
  "fieldMatch": {
    "company_name": "DENTAURUM GmbH & Co.KG"
  }
}

Keeps only rows whose company_name contains DENTAURUM GmbH & Co.KG (a value from the sample run above), matched case-insensitively after the source is read and before the maxRecords cap, so the cap counts matches and only delivered matches are billed. searchText does the same across every column. Zero matches end the run as EMPTY_SELECTION with no row charged. The source is still read in full — this narrows what you receive and pay for, not what the source serves.

🧾 JSON sample record

One real record from run xHilEL7mWkoeUZVWd, exactly as it lands in the dataset (emails masked, long text shortened):

{
  "record_type": "gudid_device",
  "primary_di": "J011851113000",
  "di_issuing_agency": "HIBCC",
  "brand_name": "N.A.",
  "version_model_number": "851-113-00",
  "catalog_number": null,
  "company_name": "DENTAURUM GmbH & Co.KG",
  "duns_number": "315427286",
  "device_description": "Standard Band, Tooth 43/33, Size 13",
  "device_count": "10",
  "distribution_status": "Not in Commercial Distribution",
  "distribution_end_date": "2026-09-25",
  "record_status": "Published",
  "version_number": "3",
  "version_date": "2026-09-25",
  "publish_date": "2016-09-15",
  "product_codes": "[{\"code\": \"ECM\", \"name\": \"BAND, PREFORMED, ORTHODONTIC\"}]",
  "gmdn_terms": "[{\"name\": \"Orthodontic metal band\", \"definition\": \"A thin metal ring designed to be fitted around the contours of a tooth and cemented into place to support an orthodontic attachment (e.g., bracket, tube), brazed or soldered onto the ring, ",
  "premarket_submissions": null,
  "fda_premarket_submission": null,
  "device_sizes": null,
  "payload_sha256": "3b5adbc692acdc5f3bd364e98d600d381f4fc86c326aacbd3449a17aa8c31902",
  "release_file": "gudid_daily_update_20260925.zip",
  "source": "accessgudid-device-release-feed",
  "release_date": null,
  "source_url": "https://accessgudid.nlm.nih.gov/release_files/download/gudid_daily_update_20260925.zip",
  "observed_at": "2026-09-27T16:11:52Z",
  "license": "Public domain — U.S. NLM/FDA AccessGUDID (GUDID)",
  "attribution": "Source: AccessGUDID, U.S. National Library of Medicine / FDA (accessgudid.nlm.nih.gov)"
}

🔧 How it works

Source. The actor reads accessgudid.nlm.nih.gov — endpoints: https://accessgudid.nlm.nih.gov/download.rss. Public pages and feeds only; nothing behind a login.

Transport. Plain HTTPS from the Apify platform, no proxy. robots.txt is read first and a disallowed path is never fetched. Every request carries an identified contact User-Agent.

Charging. Each accessgudid device release feed is charged at the moment it is pushed (device_record); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

🔧 How it works

🔧 How it works

How it behaves

The release RSS is read to pick the requested file; the ZIP is downloaded and its archive integrity is checksum-verified (every member's stored CRC-32 is validated) BEFORE parse, with the payload SHA-256 recorded as provenance. The GUDID XML is parsed with an identifier-nesting canary that fails loud if the identifiers/identifier/deviceId nesting is absent. Extraction is a strict whitelist — no customer-contact field can be emitted. Bounded.

Source

https://accessgudid.nlm.nih.gov/download.rss (checksummed daily/weekly/monthly GUDID release files)

Attribution

Source: AccessGUDID, U.S. National Library of Medicine / FDA (accessgudid.nlm.nih.gov). Public domain.

What is not done. No login, no cookie or CAPTCHA bypass, no private or personal-account data, no browser automation.

⏰ Optional: run it on a schedule

A single run returns the current records. If you also want to be told what changed over time, open the actor in Apify Console → Schedules → Create new, add this actor with the input you want, and pick a cadence:

• Daily — 0 7 * * * (07:00 UTC): catch changes within a day.
• Weekly — 0 7 * * 1: a Monday digest.

Each run is independent; keep the same input on the schedule so the results stay comparable. Schedules can also POST results to a webhook (Console → Integrations).

💰 Pricing example

Event	Free	Bronze	Silver	Gold
Actor Start (apify-actor-start)	$0.02	$0.02	$0.02	$0.02
AccessGUDID Device Release Feed (device_record)	$0.02	$0.018	$0.016	$0.0134

Worked at the live Free-tier price:

• 8 accessgudid device release feeds: $0.02 start + 8 × $0.02 = $0.18
• 25 accessgudid device release feeds: $0.02 start + 25 × $0.02 = $0.52
• 50 accessgudid device release feeds: $0.02 start + 50 × $0.02 = $1.02

A run that delivers zero rows charges the $0.02 start fee only. A BLOCKED run (source refused) fails loud and charges no value event. The start fee is charged once per GB of run memory; the default run memory is 4096 MB.

Yield on the sample run: NORMAL: 50 unique rows (0 duplicates collapsed). billable=50. maxRecords is a hard ceiling on what is delivered and billed, never a target.

⚖️ Legal & ToS

This actor reads public, logged-out pages and feeds published by accessgudid.nlm.nih.gov. It collects only what the source publishes to any visitor, keeps to the source's robots rules (checked on every run), identifies itself with a contact User-Agent, and does not access accounts, private data or anything behind authentication. Use the output in line with the source's terms and your local law; the intended use is B2B research and monitoring.

❓ FAQ

Q: Do I need an API key or a login?
A: No. The source (accessgudid.nlm.nih.gov) is read logged-out; the input schema has no key field and the actor carries no secrets.

Q: Why did my run return 0 rows?
A: Read the run's status message. GENUINE_EMPTY means the source was read and had nothing in scope for your input; BLOCKED means the source refused and the run failed without billing a value event — retry later or narrow the input. A zero-row run bills the start fee only.

Q: How many rows can one run return?
A: Up to maxRecords (default 50). Raise the cap for a bigger run; you pay per delivered row.

Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs. Put it on a schedule for a continuous feed.

Q: What formats can I export?
A: The dataset downloads as JSON, CSV, Excel, XML or RSS from the run's Dataset tab or the Apify API, and any run can push to a webhook or integration.

Q: How is this different from the other NexGen Watch actors actors?
A: Same output shape and billing model; this one covers accessgudid.nlm.nih.gov. The siblings under Related Actors cover the other sources or slices — run several on one schedule for a combined feed.

Q: Are there rate limits?
A: The actor paces itself against the source and honours its robots rules; there is no per-buyer limit beyond your Apify plan's concurrency.

🆘 Troubleshooting

• Run FAILED with BLOCKED → the source refused the request or changed its page shape → nothing was billed beyond the start fee; retry after a while, and if it persists open an Issue with the run id.
• Status says CAPPED → your cap (maxRecords) was reached → raise it for a bigger run.
• Input validation error on start → a field is outside the schema's allowed values → start from the Quick start block and change one field at a time.
• Run TIMED-OUT → a very wide request on a slow day → raise the run timeout in Run options or narrow the input; what was delivered before the timeout is still in the dataset.

🔗 Related Actors

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• Brazil CVM Sanctioning Proceedings — One accused-party row joined to its CVM proceeding by NUP — official procedural status, object, and phase. NO-GUILT POSTURE: every field is the offic…
• Brazil CVM Insider Holdings — One structured insider_holding_record per insider position/movement from Brazil's official CVM VLMO filings (securities negotiated and held, art. 11…
• 🏢 About NexGen Watch — NexGen Watch is a catalog of more than 300 public data actors built on official sources, pay-per-result. Browse the catalog at apify.com/nexgenwatch.

⭐ Found this useful?

If this actor saved you a manual check, a quick review on the Apify Store helps other teams find it. Feature request or a source that changed? Open it from the Issues tab — every one is read.