US Drug & Medical Reference Pro Scraper
Pricing
from $19.00 / 1,000 results
US Drug & Medical Reference Pro Scraper
Queries openFDA drug labels, FDA Orange Book, FDA warning letters, MedlinePlus, Medscape, and eMedicine from one keyword. Returns each result as a flat row with source name, title, URL, and full body text.
Pricing
from $19.00 / 1,000 results
Rating
0.0
(0)
Developer
ParseForge
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
12 hours ago
Last modified
Categories
Share
US Drug & Medical Reference Pro Scraper
Scrape drug labels, FDA records, and medical articles from six authoritative U.S. sources in one run. Every result returns the source name, title, URL, and full text content. No API keys or medical credentials required. Export to CSV, JSON, Excel, or XML.
Medical researchers and healthcare analysts need drug and condition data from the FDA, MedlinePlus, Medscape, and eMedicine, but pulling it together means visiting each site, running separate searches, and reformatting everything by hand. This Actor queries all six sources in parallel from one keyword and returns every match in a single, consistent schema. You get drug labels, Orange Book records, FDA warning letters, and clinical articles without writing any code or managing multiple scrapers.
| Who uses it | What they scrape US Drug & Medical Reference Pro for |
|---|---|
| Pharmacovigilance analysts | Monitor FDA warning letters and drug label changes for a specific product or therapeutic class. |
| Healthcare market researchers | Track which conditions and treatments Medscape and eMedicine are publishing about this quarter. |
| Medical writers | Gather the latest FDA label and MedlinePlus background for a drug monograph or patient handout. |
| Competitive intelligence teams | Pull Orange Book therapeutic equivalence ratings and patent expiry data for a portfolio of drugs. |
What it does
This Actor queries openFDA drug labels, the FDA Orange Book, FDA warning letters, MedlinePlus health topics, Medscape articles, and eMedicine articles from one keyword and returns each result as a flat row with the source name, title, URL, and full text.
- 📋 Six sources, one query: openFDA drug labels, FDA Orange Book, FDA warning letters, MedlinePlus, Medscape, and eMedicine queried in parallel.
- 🔍 Keyword-driven search: enter a drug name, condition, company, or medical specialty and the Actor fans out to every selected source.
- 📄 Full text returned: each row includes the complete body text of the label, article, or letter, not a snippet.
- ⚙️ Source toggles: run all six sources or pick only the ones you need to keep results focused and costs low.
- 📊 Flat, analysis-ready schema: every result lands in the same columns so you can stack runs and compare across sources.
Results export to CSV, JSON, Excel, or XML, or straight from the API.
What you can do with US Drug & Medical Reference Pro data
💊 Monitor drug safety signals.
A pharmacovigilance team runs a list of active ingredients through the FDA warning letters and drug label sources weekly to catch new boxed warnings or safety communications.
📈 Map the competitive landscape.
A market access analyst queries a therapy area in the Orange Book and openFDA labels to build a table of approved products, patent expiry dates, and therapeutic equivalence codes.
📝 Speed up medical writing.
A medical writer enters a drug name, collects the latest FDA label and the MedlinePlus consumer summary, and drafts a patient information leaflet from the full text in the dataset.
🔬 Track clinical publication trends.
A research fellow searches a condition across Medscape and eMedicine each month to see which treatments and guidelines the editorial teams are updating.
Why choose this scraper
| What you get | |
|---|---|
| One query, six authorities | A single drug name or condition returns matching drug labels, FDA records, and clinical articles together. |
| No API registration | Reads public reference data directly. No FDA or publisher API keys, no OAuth, no rate-limit headaches. |
| Full text, not snippets | The complete label, warning letter, or article body is in your dataset, ready for text analysis or review. |
| Consistent output schema | Every source returns the same columns. Merge runs, compare sources, and build dashboards without reshaping. |
How it compares
No other Store actor targets US Drug & Medical Reference Pro the same way, so the honest comparison is with the alternatives teams actually weigh.
| US Drug & Medical Reference Pro Scraper | Build it in-house | By hand | |
|---|---|---|---|
| Setup | Run it now, zero config | Days of engineering | None, but hours per pull |
| When US Drug & Medical Reference Pro changes | Maintained for you | You fix it | You re-learn the page |
| Proxies, retries, anti-bot | Built in | Your problem | Browser only |
| Output | Fixed JSON schema, CSV/Excel export | Whatever you build | Copy-paste |
| Cost | Pay per result | Engineering time | Analyst hours |
Configure the run
Drive the Actor with a single keyword query and choose which of the six medical reference sources to search. The max items cap stops the run once you have enough records. The Input tab lists every parameter.
A first run with the defaults:
A larger pull:
Pricing
Pay-per-result: $0.021 per result collected. You pay only for the results written to your dataset.
| Results collected | Approximate cost |
|---|---|
| 100 results | $2.10 |
| 1,000 results | $21.00 |
| 10,000 results | $210.00 |
New Apify accounts start with $5 in free credit.
Free users
Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.
Run it
- Create a free Apify account with $5 in credit.
- Open the US Drug & Medical Reference Pro Scraper.
- Set your inputs and any filters, then click Start.
- Export the results as CSV, Excel, JSON, or XML from the Dataset tab.
Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.
Use with AI agents (MCP)
Give an AI agent live access to US Drug & Medical Reference Pro through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:
Then prompt it in plain language to run the scraper and read back the results.
Troubleshooting
Why am I getting no results for my query?
Check that you have at least one source enabled and that your query term is spelled correctly. Try a broader term or a well-known drug name like 'aspirin' to verify the Actor is working. Some sources may not have content for very niche terms.
The run finished but some sources returned zero items.
Not every source has content for every keyword. The FDA Orange Book, for example, only contains approved drug products. If your term is a condition rather than a drug, Orange Book may return nothing while MedlinePlus and Medscape return articles. That is expected behavior.
The run is taking a long time.
Querying all six sources in parallel with a high max items value will take longer. Reduce the number of sources or lower the max items to speed up the run. The Actor respects each site's response time and does not overload them.
The full text column is empty for some rows.
Some pages may block the text extraction if the content is loaded dynamically or behind a consent wall. Try re-running the Actor. If the issue persists on a specific source, disable that source and collect the URL to visit manually.
Can I filter results to only one source in the output?
The Actor returns all sources together in one dataset. To isolate one source, filter the 'source' column in your exported CSV or JSON after the run, or disable the other sources in the input before running.
FAQ
| Question | Answer |
|---|---|
| Which sources does this Actor search? | It queries openFDA drug labels, the FDA Orange Book, FDA warning letters, MedlinePlus health topics, Medscape articles, and eMedicine articles. You can enable or disable each source in the input. |
| Do I need an FDA or Medscape API key? | No. The Actor reads the public web interfaces and openFDA endpoints directly. No registration, no API keys, and no institutional login are required. |
| What does one row of output look like? | Every row contains the source name, the title of the document or article, its URL, and the full body text. The schema is identical across all six sources so you can combine runs. |
| Can I search by something other than a drug name? | Yes. The query field accepts drug names, medical conditions, company names, or specialties. The Actor sends your term to each selected source and returns whatever matches. |
| How many results can I get in one run? | You set the maximum with the 'Maximum drugs' field. The Actor stops when it hits that number, up to 1,000,000 items per run. |
| Does this Actor provide structured fields like indications or dosage? | The dataset returns the full text of each document. Structured extraction of specific sections is not performed. You can post-process the text column with a separate NLP step or an LLM call. |
| Is the data from Medscape and eMedicine behind a paywall? | The Actor reads the freely accessible article pages on Medscape and eMedicine. It does not bypass paywalls or require a subscription. |
| Can I schedule this to run automatically? | Yes. Apify schedules let you run the Actor daily, weekly, or on a custom cron expression. Set it to monitor FDA warning letters every Monday morning, for example. |
| What export formats are supported? | You can export your dataset to CSV, JSON, Excel, or XML directly from the Apify run console or via the API. |
| Does the Actor deduplicate results across sources? | No. Each source returns its own matches independently. If the same drug appears in multiple sources you will get one row per source, which lets you compare how each authority describes it. |
Related actors
Browse the full ParseForge collection for more scrapers.
🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.
⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by U.S. National Library of Medicine, FDA, Medscape, and eMedicine. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.
