♿ CONADIS Peru Disability Registry Scraper

🚀 Export Peru's CONADIS disability registry statistics in seconds. Regional counts, disability types, age groups, and gender breakdowns.

🕒 Last updated: 2026-05-29 · 📊 8 fields per record · All 25 Peruvian regions · Live CONADIS observatory

The CONADIS Peru Disability Registry Scraper turns the public observatory at conadisperu.gob.pe into a structured dataset. It parses the data tables published by CONADIS and returns one row per region, year, and disability category.

Coverage spans all 25 Peruvian departments tracked by Peru's National Council for the Integration of People with Disabilities (CONADIS).

🎯 Target Audience	💡 Primary Use Cases
🏛️ Public health teams	Map disability prevalence by department
📊 NGOs and advocates	Quantify regional service gaps
📰 Journalists	Source authoritative CONADIS figures
🤖 Data engineers	Mirror disability stats into a warehouse
🎓 Researchers	Build cohorts for public health studies
💼 Donor organizations	Allocate aid based on official counts

📋 What the CONADIS Peru Disability Registry Scraper does

• Fetches the public CONADIS observatory page.
• Parses the published tables generically (region, year, type, count, age, gender).
• Optionally filters to a specific Peruvian region.
• Surfaces upstream errors as a clean diagnostic record.

💡 Why it matters: CONADIS publishes the only nationwide registry of people with disabilities in Peru. The numbers are tucked into observatory HTML tables that change layout; this actor wraps the parsing.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

Field	Type	Required	Description
region	enum	No	One of 25 Peruvian regions or empty for all.
maxItems	integer	No	Free 10, paid up to 1,000,000.

Example 1 - All regions:

{ "maxItems": 25 }

Example 2 - Lima only:

{ "region": "LIMA", "maxItems": 50 }

⚠️ Good to Know: CONADIS publishes refreshed tables on the observatory landing page. Run on a schedule to keep your copy current.

📊 Output

Field	Type	Description
🗺️ region	string	Peruvian region.
📅 year	number	Reporting year.
♿ disability_type	string	Type of disability when reported.
🔢 count	number	Number of registered persons.
👥 age_group	string	Age group bucket.
⚧ gender	string	Gender when reported.
🕒 scrapedAt	string	When this row was fetched.
❌ error	string	Set if upstream response was an error.

Sample record:

{
  "region": "LIMA",
  "year": 2024,
  "disability_type": "FISICA",
  "count": 152340,
  "age_group": "30-59",
  "gender": "F",
  "scrapedAt": "2026-05-29T13:00:00.000Z",
  "error": null
}

✨ Why choose this Actor

| 🆓 | Works with no API key. | | 🇵🇪 | Covers all 25 Peruvian regions. | | 🛡️ | Real browser headers via got-scraping. | | 🛟 | Surfaces upstream errors as a clean diagnostic row. | | 💾 | Push to dataset and export CSV, Excel, JSON, or XML. |

📈 How it compares to alternatives

Approach	Setup time	Coverage	Maintained
Manual CONADIS portal	minutes per query	full	manual
INEI mirror	partial	partial	varies
This Actor	5 sec, no install	full	live

🚀 How to use

1. Click Try for free.
2. Pick a region or leave empty.
3. Click Start.

💼 Business use cases

🏛️ Public health planning. Map disability prevalence per region for service rollout.

📰 Newsroom verification. Confirm CONADIS counts in social policy stories.

📊 NGO planning. Allocate program budgets using authoritative counts.

🤖 Research pipelines. Pipe registry stats into a public health warehouse.

🔌 Automating CONADIS Peru Disability Registry Scraper

• Make / Zapier: trigger and push to Airtable.
• Cron schedule: monthly refreshes.
• Webhooks: POST to your endpoint after each run.
• Pipe to BigQuery / Snowflake / Postgres: native integrations.

🌟 Beyond business use cases

🎓 Education. Teach disability studies with authoritative Peruvian data.

🧪 Personal research. Map disability counts in your home region.

🤝 Non-profit. Power advocacy campaigns.

🧰 Prototyping. Mock up a public health dashboard.

🤖 Ask an AI assistant about this scraper

Paste this README into ChatGPT or Claude.

❓ Frequently Asked Questions

❓ Do I need an API key? No.

❓ Which years are covered? Every year CONADIS has published on the observatory.

❓ Can I filter by region? Yes, set region to a department name.

❓ Are counts cast to numbers? Yes.

❓ Can I schedule runs? Yes via the Apify scheduler.

❓ Is this scraping or API? HTML parsing of the public CONADIS observatory.

❓ What format can I download? CSV, Excel, JSON, JSONL, XML, RSS, or HTML.

❓ What if the table is empty? A diagnostic record with error is pushed.

❓ Does it follow robots.txt? Only public pages are fetched.

❓ Will the schema change? Stable.

🔌 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.

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