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URL: https://apify.com/parseforge/conadis-peru-disability-registry-scraper

⇱ CONADIS Peru Disability Registry Scraper Β· Apify


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CONADIS Peru Disability Registry Scraper

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CONADIS Peru Disability Registry Scraper

Parse CONADIS Peru observatory tables for disability statistics by region, returning region, year, disability_type, count, age_group, and gender. Useful for accessibility research, social policy analysis, NGO planning, and demographic studies across Peruvian departments and age groups.

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β™Ώ CONADIS Peru Disability Registry Scraper

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

πŸ•’ Last updated: 2026-05-29 Β· πŸ“Š 8 fields per record Β· All 25 Peruvian regions Β· 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 AudienceπŸ’‘ Primary Use Cases
πŸ›οΈ Public health teamsMap disability prevalence by department
πŸ“Š NGOs and advocatesQuantify regional service gaps
πŸ“° JournalistsSource authoritative CONADIS figures
πŸ€– Data engineersMirror disability stats into a warehouse
πŸŽ“ ResearchersBuild cohorts for public health studies
πŸ’Ό Donor organizationsAllocate aid based on official counts

πŸ“‹ 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.

πŸ’‘ 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.

βš™οΈ Input

FieldTypeRequiredDescription
regionenumNoOne of 25 Peruvian regions or empty for all.
maxItemsintegerNoFree 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.

πŸ“Š Output

FieldTypeDescription
πŸ—ΊοΈ regionstringPeruvian region.
πŸ“… yearnumberReporting year.
β™Ώ disability_typestringType of disability when reported.
πŸ”’ countnumberNumber of registered persons.
πŸ‘₯ age_groupstringAge group bucket.
⚧ genderstringGender when reported.
πŸ•’ scrapedAtstringWhen this row was fetched.
❌ errorstringSet 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

| πŸ†“ | Works with no API key. | | πŸ‡΅πŸ‡ͺ | Covers all 25 Peruvian regions. | | πŸ›‘οΈ | Real browser headers via got-scraping. | | πŸ›Ÿ | Surfaces upstream errors as a clean diagnostic row. | | πŸ’Ύ | Push to dataset and export CSV, Excel, JSON, or XML. |

πŸ“ˆ How it compares to alternatives

ApproachSetup timeCoverageMaintained
Manual CONADIS portalminutes per queryfullmanual
INEI mirrorpartialpartialvaries
This Actor5 sec, no installfulllive

πŸš€ How to use

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

πŸ’Ό Business use cases

πŸ›οΈ Public health planning. Map disability prevalence per region for service rollout.

πŸ“° Newsroom verification. Confirm CONADIS counts in social policy stories.

πŸ“Š NGO planning. Allocate program budgets using authoritative counts.

πŸ€– Research pipelines. Pipe registry stats into a public health warehouse.

πŸ”Œ 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

πŸŽ“ Education. Teach disability studies with authoritative Peruvian data.

πŸ§ͺ Personal research. Map disability counts in your home region.

🀝 Non-profit. Power advocacy campaigns.

🧰 Prototyping. Mock up a public health dashboard.

πŸ€– 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.

πŸ”Œ 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.

πŸ”— Recommended Actors

ActorWhat it does
ParseForge ONPE Peru Elections ScraperPeru election results.
ParseForge DANE Colombia ScraperColombia statistics.
ParseForge collection900+ production scrapers.

πŸ’‘ 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.

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