๐Ÿ’Š DailyMed Drug Label Section Change Monitor avatar

๐Ÿ’Š DailyMed Drug Label Section Change Monitor

Pricing

from $6.00 / 1,000 drug label section results

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๐Ÿ’Š DailyMed Drug Label Section Change Monitor

๐Ÿ’Š DailyMed Drug Label Section Change Monitor

Detect exact version-to-version changes in DailyMed boxed warnings, indications, contraindications, dosage, interactions, warnings, adverse reactions and supply sections.

Pricing

from $6.00 / 1,000 drug label section results

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Developer

Ilia

Ilia

Maintained by Community

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0

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2

Total users

1

Monthly active users

11 days ago

Last modified

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Turn official DailyMed SPL version history into review-ready drug-label changes. Instead of returning a list of recently published labels, this Actor downloads the current and previous structured label, compares safety-critical sections, and shows exactly which text was added or removed.

๐Ÿ“ค What you get

  • version-to-version changes for boxed warnings, indications, dosage, contraindications, warnings, interactions, adverse reactions, and supply/storage;
  • full current and previous section text plus sentence-level additions and removals;
  • SHA-256 fingerprints for repeatable monitoring and audit trails;
  • DailyMed Set ID, SPL versions, publication history, NDCs, and direct official label/XML/version-download links;
  • search by generic or brand name, exact Set ID, publication date, or boxed-warning status.

Example input

{
"drugNames": ["KEYTRUDA"],
"publishedSince": "2026-01-01",
"comparePreviousVersion": true,
"emitUnchangedSections": false,
"maxLabels": 10
}

Each dataset row is one meaningful section result, so a label that changed its boxed warning and adverse-reactions text produces two independently usable records. Run the same input on an Apify Schedule to watch a product, sponsor portfolio, or therapeutic area.

๐Ÿ—‚๏ธ Data source

The Actor uses the U.S. National Library of Medicine DailyMed REST API and official archived SPL ZIP files. Every result links back to the source label and retains both version numbers.

๐Ÿ’ฐ Pricing

Pay only for section results written to the dataset. Empty searches and sections filtered as unchanged do not create result charges.

๐Ÿ“ฅ Complete input reference

FieldTypeDefaultPurpose
drugNamesarray["KEYTRUDA"]Search one or more generic or brand names.
setIdsarray[]Optionally monitor exact SPL Set IDs.
publishedSincestring"2026-01-01"Only labels published on or after this YYYY-MM-DD date.
boxedWarningOnlybooleanfalseRestrict name searches to labels containing an FDA boxed warning.
comparePreviousVersionbooleantrueDownload the prior archived SPL and calculate section-level changes.
emitUnchangedSectionsbooleanfalseAlso store monitored sections whose normalized text is identical between versions.
maxLabelsinteger10Maximum distinct DailyMed labels to inspect in one run.

๐Ÿ“ค Complete output reference

The default dataset is exportable as JSON, CSV, Excel, XML or RSS. Fields remain stable for scheduled runs and API integrations.

FieldType
recordTypestring
setIdstring
drugTitlestring
publishedDatestring
currentVersioninteger
previousVersioninteger / null
sectionCodestring
sectionNamestring
changeTypestring
currentSectionTextstring
previousSectionTextstring / null
addedTextarray
removedTextarray
addedTextPreviewstring / null
removedTextPreviewstring / null
currentFingerprintstring
previousFingerprintstring / null
versionHistoryarray
ndcsarray
officialLabelUrlstring
currentXmlUrlstring
previousZipUrlstring / null
scrapedAtstring

๐Ÿ”Œ API & integrations

Run this Actor from the Apify Console, API, CLI, MCP, Make, Zapier or n8n. Replace the Actor identifier and token in this template:

curl -X POST "https://api.apify.com/v2/acts/dailymed-label-section-change-monitor/runs?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{}'

Results are stored in the run's default dataset and can be forwarded with Apify webhooks or scheduled Tasks.

๐Ÿ”Ž Search keywords

DailyMed Drug Label Section Change Monitor, dailymed, drug, label, section, change, monitor, Apify Actor, scraper API, structured data, scheduled monitor, automation.