A Drugs.com page is never just a drug. One ingredient fans out into a consumer leaflet, an FDA label, an AHFS monograph, a dosing table and a pill imprint, and we pull every branch.
A Drugs.com scraping project starts with two answers. Which layers do you need - consumer leaflets, FDA labels, AHFS monographs, dosing, side effects, pregnancy and lactation, the interaction edge list, imprints, the price guide - and which spine do you walk them from: a watchlist of ingredients, a therapeutic class, an indication, or the whole A to Z. Depth is the second choice: one leaflet per drug, or every satellite page keyed to the same stem.
drugs.com is closed to plain automated clients at the edge, so anti-bot handling, proxy rotation and CAPTCHA solving are part of the service rather than a surcharge. Patient reviews and anything that reads as one person's medical experience stay out of scope: we take reference information about medicines only. Delivery is CSV, JSON, XLSX, a database drop or a Drugs.com API of your own, with the drug slug, the layer and the review date on every row.
Every drug page opens with the same header block, and it is the cleanest thing on the site to extract: generic name with a phonetic spelling in brackets, brand names, dosage forms with each strength in parentheses, drug class, then the reviewing pharmacist with credentials and a last-updated date. The page also ships the drug as a machine-readable object with the non-proprietary name, prescription status, pregnancy category with its risk sentence, the reviewer as a named person with job title, and a modification date.
Consumer layer. Uses, mechanism, warnings, side effects split into common and serious, a before-taking block with pregnancy and breastfeeding subsections, how to take it, dosing, missed dose, overdose, what to avoid, what other drugs will affect it and a reference list. A status panel repeats availability, pregnancy and lactation, the controlled-substance schedule, approval history and the active plus inactive ingredient list.
Professional layer. The /pro/ page reproduces the FDA label whole: highlights, then numbered sections from indications and usage through dosage and administration, dosage forms and strengths, contraindications, warnings and precautions, adverse reactions, drug interactions, use in specific populations, overdosage, clinical pharmacology, clinical studies, how supplied, patient counseling and the package display panel. Under it sits label product data: color, score, shape, size, flavor, imprint code, a packaging table of NDC item codes with package descriptions and marketing start and end dates, marketing category with application number, the labeler with its numeric id, ingredient UNII codes and the label revision date. The AHFS monograph adds a preparations table of routes, dosage forms, strengths, brand names and manufacturer.
Safety layer. Dosage pages break out a usual adult dose per indication, a usual pediatric dose, renal and liver adjustments, dialysis notes and precautions. Side effect pages carry common, less common, serious and incidence-not-known lists for patients, then a professional block sorted by body system with reported frequencies. Pregnancy pages print an Australian TGA category beside the US FDA category with a risk summary and comments; lactation pages flag whether the drug is excreted into human milk and into animal milk.
Interaction checker. A tool, not a page: you build a list and it returns a report. Three kinds are separated - drug with drug, drug with food or alcohol, drug with disease - and four severities are named: major, moderate, minor and unknown. Each report reads in consumer or professional wording, and every pair also exists as a permanent page.
Pill identifier. The finder takes an imprint code, then narrows by color and shape. The color list runs past plain colors into two-tone entries such as blue and white specks; shapes cover barrel, capsule, kidney, gear and character forms as well as three- to eight-sided tablets. A result gives imprint, color, shape, size in millimeters, drug class, pregnancy category and schedule, then a supplier table of NDC codes with packager and whether the listing is current, then inactive ingredients with UNII codes.
Prices, news and other editions. The price guide prints cash prices per form and strength as a quantity, per-unit and total table, with coupons, copay cards and assistance programs beside it. News splits into consumer news, professional news, new approvals, pipeline applications, trial results and FDA alerts, each with a feed. Beyond the US catalog sit a UK database of about 1,500 approved products held as leaflet pages, an international set of about 40,000 medicines across 185 countries that resolves a brand into ingredient matches country by country, a full Spanish set of leaflets and care notes, and a veterinary compendium of about 5,000 monographs browsable by species, from cats and dogs to bees and salmonids.
Drugs.com is a United States drug reference, not a pharmacy: it sells nothing and publishes what a drug is, what it treats, how it is dosed and what it collides with. It is owned by Drugsite Trust, a private New Zealand company run by two pharmacists, and its database is licensed, not written in house: Cerner Multum, Micromedex and the American Society of Health-System Pharmacists supply the drug text. The site's own figure, checked in September 2026, is about 24,000 prescription drugs, over-the-counter medicines and natural products.
Addressing is short and predictable, which is what makes a Drugs.com scraper cheap to run. A consumer monograph is the drug slug at the root: /atorvastatin.html, /ozempic.html. Every other view of that ingredient hangs off the same stem in its own folder - /pro/ for the FDA-approved label, /monograph/ for the AHFS DI text, /mtm/ for the Multum leaflet, /cons/ for the advanced consumer version, then /dosage/, /sfx/ for side effects, /drug-interactions/, /pregnancy/, /breastfeeding/, /price-guide/ and /compare/. Brand and generic each keep their own stem, so Lipitor, Atorvaliq and atorvastatin are three doors into one molecule.
Browse trees sit beside them: an A to Z spine at /alpha/, therapeutic classes at /drug-class/, indications at /condition/, active ingredients at /ingredient/, excipients at /inactive/, labelers at /manufacturer/ and generic status at /availability/, plus separate catalogs for over-the-counter, veterinary, natural, UK and international products. The sitemap index fans out into dozens of child files, twelve of them nothing but pairwise interaction pages. robots.txt closes internal search, the full interaction lists, the comment form and /api/, and refuses a named roster of AI crawlers outright.
Get a Quote
Developers
Customers worldwide
Pages extracted
Hours saved for our clients
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
One habit separates usable Drugs.com data from a pile of saved pages: never treat a molecule as a single row. The same active ingredient is published four times over - a Multum consumer leaflet, a Micromedex advanced consumer leaflet, the FDA-approved label and an AHFS monograph - and the four differ in wording, depth and update clock because they come from four licensors. Take the root slug alone and you have captured the shortest of the four.
Interactions are a graph, not a field. A single statin page counts 435 interacting drugs split into 48 major, 340 moderate and 47 minor, beside five disease interactions and two alcohol and food entries, and every pair has its own page with a consumer wording and a professional wording. That is why pairwise pages dominate the site by volume, and why any plan to extract Drugs.com interaction data has to be built as an edge list with severity, mechanism and management text rather than as a column on the drug.
Freshness is stamped, and the stamps do not move together. Each page names the pharmacist who reviewed it and the date; the footer names the licensed sources with the date each was last refreshed; an FDA label carries its own revision date; shortage bulletins carry theirs. The site states that Multum content is refreshed monthly, Micromedex quarterly, and the news and new-approval areas daily. A Drugs.com price row in the price guide moves faster still. So a diff needs the review date, the source stamp and the label revision on every record.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt takes the whole job as a managed service. We design the crawler, run it to your schedule, watch it and repair it when the site changes shape. Your side receives files or an endpoint and keeps no scraping engineers of its own.
We are not affiliated with Drugs.com. We read robots.txt before planning a crawl and stay out of the paths it closes, nothing behind a login is touched, and no personal data is collected: no patients, no prescriptions, no medical records.
No. There is no published developer program, no documented endpoints and no key to apply for. The site does run an internal /api/ prefix behind its search and interaction widgets, and robots.txt closes that prefix to crawlers, so it is plumbing rather than a product. The only official route to the content in bulk is a licensing conversation: the contact page points partners who want to use or license the material at the corporate team, and the underlying databases belong to Cerner Multum, Micromedex and ASHP rather than to the site. We build a Drugs.com API on what the site shows an ordinary visitor and hand it over as a documented endpoint with a stable schema.
Identifiers first - drug slug, generic name, brand names, active ingredient, drug class, dosage form and strength, prescription status and controlled-substance schedule - then the body of whichever layer you ordered: indications, dosing by indication and population, side effects with frequency, warnings and contraindications, pregnancy and lactation categories, interaction pairs with severity, and imprint, color, shape and NDC for pill matching. Join on the generic name for a molecule view, on the NDC for a packaged product view, and on the drug slug when you need a key that survives a title rewrite.
The site publishes its own clocks: Multum content refreshed monthly, Micromedex quarterly, news and new approvals daily, with the footer naming each licensed source and the date it was last refreshed. On top of that every drug page carries a medically-reviewed-by line with a date, FDA labels carry a revision date and shortage bulletins carry a revision date. We keep all three stamps on the record, so a diff is a comparison of dates rather than a text guess. Cadence follows the question: daily for approvals, alerts and shortages, weekly for prices, monthly or quarterly for the monograph body.
Yes, and they are different datasets rather than translations. The UK section holds product leaflets under British product names and pack descriptions. The international database is a name resolver: it takes a brand and returns the ingredient matches reported for it country by country, including the specific salt, which is how one brand name maps onto different molecules in different markets. The Spanish set is a full parallel run of consumer leaflets and care notes. The veterinary compendium is organized by species and product type. Each needs its own parser, so tell us up front which of them you want.
We collect only pages an ordinary visitor is shown, at polite request rates, and we read robots.txt first and stay out of the paths it closes. Nothing behind a login is touched, so saved medication lists are out of scope. No patient records, prescriptions or health information about a person is ever collected, and we do not take patient reviews or community posts. The Drugs.com terms of use expressly prohibit automated downloading and the creation of datasets from the site, so we make no blanket legal claim: we scope each project with the client and their counsel, and we say no when the answer is no.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
