Track Durable Solutions for Refugees
Monitor returns, resettlement, and other durable-solution indicators without losing source context.

Monitor returns, resettlement, and other durable-solution indicators without losing source context. The UNHCR Refugee Data Scraper provides a bounded connector to the authoritative publisher while preserving stable identifiers and source URLs on every row.
Start with a small, reviewable query
{"mode":"population","yearFrom":2020,"yearTo":2025,"maxResults":500}Run a small sample before expanding the result limit. Inspect identifiers, dates, null values, units, qualifiers, and source fields in the Apify Dataset. Export as JSON for nested fields or CSV and Excel for review. For recurring ingestion, upsert on the publisher stable record dimensions instead of assuming every run is append-only.
Build a reliable data pipeline
The Actor uses direct HTTP requests, bounded inputs, transient-error retries, and explicit empty-result failures. It does not require a browser or paid proxy, so scheduled runs remain inexpensive. Keep the input in an Apify Task, send completion through a webhook, and load the dataset into a warehouse or dashboard. Store collection time downstream so source revisions can be distinguished from newly published records.
Interpret the source responsibly
Official publication does not remove the need for context. Preserve footnotes, status fields, dataset type, reporting period, and source attribution. A missing value is not zero, and a revised record is not necessarily a new event. For legal, medical, financial, safety, protection, or public-policy decisions, confirm material findings with the publisher and a qualified specialist.
This workflow is designed for humanitarian analysts, journalists, and policy researchers. It is an independent integration and is not affiliated with or endorsed by the source institution.
Treat each solution pathway separately
Voluntary return, resettlement, and local integration or naturalization describe different pathways and operate on different timelines. Build one series per solution type instead of adding them into a single success metric. Compare flows with the relevant displaced population stock, but state clearly that the ratio is descriptive rather than an individual probability. A scheduled Task can collect the latest solutions records monthly, deduplicate them on published dimensions, and flag changed values for review. When a historical figure changes, preserve both observations in an audit table before updating the reporting view. That revision trail is valuable for program evaluation and protects downstream reports from unexplained changes.
Frequently asked questions
Does this workflow require a source API key?
No. It uses the source publisher public keyless interface.
Can I schedule the export?
Yes. Save the input as an Apify Task and attach a schedule or webhook.
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