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ANVISA Brazil Medicines Registry Scraper

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ANVISA Brazil Medicines Registry Scraper

ANVISA Brazil Medicines Registry Scraper

Search the ANVISA medicines registry by product name or active ingredient and pull product_name, active_ingredient, manufacturer, registration, expiry_date, category, and presentation. Handy for pharma market research, regulatory monitoring, and competitive intelligence across Brazil.

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from $7.50 / 1,000 results

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ParseForge

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💊 ANVISA Brazil Medicines Registry Scraper

🚀 Export the official ANVISA Brazil medicines registry in seconds. Product name, active ingredient, manufacturer, registration and expiry.

🕒 Last updated: 2026-05-29 · 📊 9 fields per record · ANVISA consultas API · National coverage · Hundreds of thousands of medicines

The ANVISA Brazil Medicines Registry Scraper turns the ANVISA medicines public search into a clean dataset. Search by product name or active ingredient, get back one row per registered medicine.

🎯 Target Audience💡 Primary Use Cases
📊 AnalystsBuild clean datasets from the source
🏢 Business teamsPlug official data into internal tools
🤖 ML engineersTraining data ready for pandas and BigQuery
📰 JournalistsVerify numbers in seconds
🎓 ResearchersReproducible historical pulls
👩‍💻 DevelopersSkip writing a client library

📋 What the ANVISA Brazil Medicines Registry Scraper does

  • Calls the public ANVISA medicines public search endpoint.
  • Parses the response and flattens each record into a clean row.
  • Casts numeric fields and normalizes timestamps for downstream tools.
  • Surfaces upstream errors as a clean error record instead of crashing.
  • Exports as CSV, Excel, JSON, JSONL, XML, RSS, or HTML.

💡 Why it matters: the source is public but its format is not analyst friendly. This actor returns a flat, tool-ready dataset.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

FieldTypeRequiredDescription
querystringNoSearch query (product or active ingredient).
maxItemsintegerNoFree 10, paid up to 1,000,000.

Example 1:

{ "query": "dipirona", "maxItems": 50 }

Example 2:

{ "query": "paracetamol", "maxItems": 200 }

⚠️ Good to Know: the upstream source enforces its own rate limits. Heavy pulls should be spread across runs.

📊 Output

Each record is a flat object. error is always last.

FieldTypeDescription
💊 product_namestringBrand or product name
🧪 active_ingredientstringPrincipio ativo
🏭 manufacturerstringHolder company
🆔 registrationstringANVISA registration number
📅 expiry_datestringRegistration expiry
🗂️ categorystringRegulatory category
📦 presentationstringPharmaceutical form
🕒 scrapedAtstringWhen this row was fetched
errorstringSet if upstream returned an error

Sample record:

{
"product_name": "DIPIRONA SODICA",
"active_ingredient": "DIPIRONA SODICA",
"manufacturer": "EMS S/A",
"registration": "1023504850017",
"expiry_date": "2030-12-31",
"category": "MEDICAMENTO GENERICO",
"presentation": "500 MG COM CT BL AL PLAS PVC X 20",
"scrapedAt": "2026-05-29T10:00:00.000Z",
"error": null
}

✨ Why choose this Actor

| 🆓 | Calls the public ANVISA consultas API. | | 🧹 | Cleans Portuguese field names into snake_case. | | 🔁 | Auto-pagination across result pages. | | 🛟 | Errors surfaced as clean records. | | 💾 | Push to dataset, instant download. |

📈 How it compares to alternatives

ApproachSetup timeClean keysNumeric castingError handling
Roll your own fetch30 min plus
Manual downloadhours
This Actor5 sec, no install

🚀 How to use

  1. Click Try for free.
  2. Fill in the input fields (defaults work for a first run).
  3. Click Start. Your dataset is ready in seconds.

💼 Business use cases

📊 Analytics dashboards. Pipe to a BI tool, refresh on a schedule.

💼 Internal data products. Mirror the source into your own warehouse.

📰 Newsroom fact-checking. Verify any number before publishing.

🤖 ML feature engineering. Use the clean dataset as model input.

🔌 Automating ANVISA Brazil Medicines Registry Scraper

  • Make and Zapier: trigger on a schedule, push to Airtable or Slack.
  • Cron schedule: native Apify scheduler.
  • Webhooks: receive a POST when a run finishes.
  • Pipe to BigQuery, Snowflake, Postgres: native Apify integrations.

🌟 Beyond business use cases

🎓 Education. Bring real public data into classrooms.

🧪 Personal research. Track indicators or markets over time.

🤝 Non-profit and open data. Build public dashboards.

🧰 Tinkering. Prototype quickly with structured data.

🤖 Ask an AI assistant about this scraper

Paste this README into ChatGPT or Claude and ask it to map your workflow to the actor inputs. The schema, examples and field list above contain everything an LLM needs to design a working pipeline.

❓ Frequently Asked Questions

❓ Do I need an API key? No, the source is fully public.

❓ Is there a rate limit? The upstream enforces a soft limit. Avoid hammering.

❓ Can I schedule runs? Yes, via Apify scheduler, Make, Zapier or cron.

❓ Are values cast to numbers? Yes where applicable.

❓ How are errors handled? Pushed as a single record with error populated.

❓ Is this scraping or API? Public API or feed.

❓ Will the schema change? Core fields are stable.

❓ Can I filter the results? Yes, see the input schema above.

❓ What if the upstream changes? We update the actor.

❓ What format can I download? CSV, Excel, JSON, JSONL, XML, RSS, HTML straight from the Apify dataset UI.

🔌 Integrate with any app

Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint.

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💡 Pro Tip: browse the complete ParseForge collection for 900+ production-grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records.


Disclaimer: This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site's terms of service and applicable law. Create a free account w/ $5 credit.