World Bank Debarment API Guide with Apify

Access the first-party World Bank sanctioned-firm service through a maintained, filterable Apify Actor. The World Bank Debarred Firms Scraper turns each public debarment record into a bounded Apify dataset row and preserves a direct source URL for verification.

Start with a reviewable sample

{"activeOnly":true,"countries":["India"],"maxResults":250}

Begin with ten to one hundred records, not a full archive. Inspect identifier stability, date formats, nulls, arrays, free-text fields, and source links. Keep operational searches small and use full-list exports only for controlled archival workflows. Once the sample matches the intended workflow, raise the result limit deliberately and save the input as a named Apify Task.

Design the dataset around source truth

Keep supplier ID, supplier name, country, city, public address, debarment dates, reason, status, refresh time, and source URL together in the raw landing table. Do not replace missing values with zero, invent status labels, or silently collapse aliases. Use the publisher's stable identifier as the upsert key where one exists; otherwise combine the canonical source URL and observed identifier. Add a downstream collection timestamp so analysts can distinguish a revised record from a newly published record.

A useful pipeline has three layers. The raw layer stores the Actor output without lossy transformations. The review layer adds normalized dates, currencies, or matching candidates while preserving original fields. The application layer contains only decisions that have passed the organization's validation rules. This separation makes source changes auditable and prevents a convenient spreadsheet formula from becoming an undocumented business rule.

Schedule changes without creating alert noise

Run the Task on a cadence appropriate to how often World Bank changes. Compare stable keys and material fields rather than array order or page position. Send alerts only for additions, removals, deadline changes, status changes, or other changes relevant to the workflow. Store the previous snapshot in a table or object store and make the diff reproducible.

For operational use, log the Actor run ID, dataset ID, input, source URL, and collection time. Use retries for transient network failures, but fail visibly when the publisher returns no records for a query that normally has coverage. Silent empty datasets are more dangerous than explicit failures because they can look like a legitimate all-clear.

Validate before acting

Name similarity is not identity resolution and is not proof of ineligibility. Confirm possible matches, affiliates, status, scope, dates, and governing procedures against the official World Bank source with human review. The Actor is a collection tool, not a substitute for due diligence, legal interpretation, financial analysis, or publisher methodology. Reviewers should open the source URL, confirm that the record is current, and document the evidence used for any material conclusion.

This workflow is designed for procurement compliance teams, auditors, vendor managers, and researchers. It is an independent integration and is not affiliated with or endorsed by World Bank.

The first-party service behind the page

The public page declares a production service URL ending in SANCTIONED_FIRM and a browser API key used by its JavaScript. The response nests rows under response.ZPROCSUPP. Rather than hard-code a credential-looking value that may rotate, the Actor fetches the page, extracts the current public values, and calls the same service.

The raw service exposes internal columns that are not all necessary for users. Thirdwatch deliberately omits D&B linkage fields, internal create/update user fields, and other implementation metadata. This minimizes noise while keeping supplier identity, geography, sanction dates, reason, eligibility status, and publisher refresh time.

The endpoint returns the list in one response, so user filters are applied locally and only matching rows are charged. Keep defaults small for name searches. Full 5,000-row exports are intended for controlled archives, not repeated high-frequency polling.

Why use an Apify Task

A Task makes the exact input repeatable across schedules, webhooks, the API, Make, Zapier, n8n, and MCP clients. Keep one Task per business question instead of one enormous catch-all export. Small Tasks are easier to test, cheaper to rerun, and clearer when a source field or filter changes. The Thirdwatch Actor on Apify provides JSON, CSV, Excel, RSS, and API access to the resulting dataset.