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You can expose remote jobs, public tenders, and city population data through one API that your application controls, but the documented sources here are separate services—not one provider that supplies all three. Build a unified API facade with a source-specific adapter for each dataset, and preserve the limits and provenance of the upstream records.
What “one API” means in this case
A single API can mean either one upstream provider that owns all the data or one interface your application builds over multiple providers. The documentation reviewed here supports the second approach: Germany’s Federal Employment Agency publishes vacancy statistics, SAM.gov provides U.S. procurement opportunities, TenderAPI describes a separate European tender-search service, and the U.S. Census Bureau offers demographic datasets. None is documented as a source for all three domains.
There is also an important distinction in the jobs part of the title: aggregate vacancy statistics are not the same as individual job listings tagged as remote. The Federal Employment Agency’s API is an example of the former, not evidence of a remote-only job feed.
Choose an upstream source for each data need
| Data need | Documented example | What it provides and what to check |
|---|---|---|
| Job and vacancy data | Federal Employment Agency of Germany API documentation | Statistics on reported vacancies, with JSON, CSV, and XLSX formats. Geography includes Germany, states, districts and independent cities, employment-agency districts, and labor-market regions. This is not a documented remote-job listing feed. |
| U.S. public tenders | SAM.gov Get Opportunities Public API documentation | Published U.S. opportunity details. The documentation says requests require an API key and a date field, and responses are paginated. Recheck current key, quota, and request rules before implementation; the documentation may be stale. |
| European public tenders | TenderAPI getting-started documentation | A separate REST service describing records from TED and national procurement portals, with JSON requests and responses. Its documentation describes beta access and warns that fields and behavior can change; verify current availability and terms. |
| Population and demographic data | U.S. Census Bureau API user guide | Access to multiple datasets, including population estimates and projections. Variables and supported geographies depend on the chosen dataset; verify that it supports the intended city definition and year. |
Decide whether you need remote listings or vacancy statistics
If the goal is to show individual openings that users can apply to, select a job-data provider whose documentation explicitly includes listing-level records and a remote or hybrid field. The Federal Employment Agency source listed above supports vacancy statistics, including vacancy stock and new vacancies; it does not establish that those records are individual listings or identify remote status.
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For statistical comparisons, its documented geographic options and indicators may be useful. Its API page lists JSON, CSV, and XLSX endpoint forms, along with absolute and percentage changes against prior reporting periods. The coverage described is Germany-specific, so do not present it as worldwide vacancy data.
Query procurement notices with the right regional source
For U.S. opportunities, use SAM.gov
The SAM.gov public opportunities API returns published opportunity details according to request parameters. GSA’s documentation says an API key and a date field are required, and that results are paginated. It describes requesting a public key through account details. The same documentation says active notices are updated daily and archived notices weekly; because the documentation may not reflect current operational policy, confirm those details, along with quotas and request rules, before relying on them in production.
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For European tenders, assess TenderAPI separately
TenderAPI’s documentation describes a REST API that aggregates records from TED and national procurement portals. It shows JSON request and response formats and an example search. The documentation describes beta use as free and not requiring a key or signup, but those are provider claims that can change; it also warns that fields and behavior may change. Treat this as a distinct, changeable service rather than a universal tender standard.
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Do not merge U.S. and European notices as though they had identical coverage or fields. Where available, preserve each notice’s original identifier, publication date, deadline, source link, and status. These details help clients interpret records and avoid confusing a source’s identifiers or notice states.
Check the Census dataset before promising city-level population
The Census API guide covers datasets such as population estimates and the American Community Survey. A query requires selecting a dataset, variables, and geographic predicates; the applicable variables and geography depend on that dataset. The Census query-components documentation explains that required variables must be included and that predicates can filter by geography, strings, numbers, and time.
The population-estimates example in the guide supports national, state, or county queries; that does not establish city-level coverage for every dataset. Before exposing a city population endpoint, confirm that the chosen dataset supports the precise geography and year you need. “City” can refer to different geographic definitions, so document which one your API returns rather than treating it as interchangeable with county or state data.
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Put your own application-facing interface in front of separate upstream adapters. Each adapter should handle its source’s authentication, filters, pagination, geography mapping, update timing, and errors. This is an integration design inferred from the documented differences, not a claim that these sources share a common schema.
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- Define the records you intend to return. Decide whether jobs means individual listings or aggregate vacancy statistics; specify tender regions and the population geography and year your clients can request.
- Create one adapter per upstream service. Keep each service’s required parameters, credentials, pagination, and error handling inside its own adapter instead of exposing them as universal rules.
- Normalize only genuinely shared fields. Common fields might include source, record ID, geography, title or name, relevant dates, and source URL. Retain source-specific fields such as tender deadlines, vacancy categories, or population vintage.
- Return provenance with every record. Include the upstream source and its update date so consumers can see where the data came from and assess its freshness.
- Validate geography and completeness. Confirm that a requested location and time period are supported by the selected dataset. Do not silently substitute a larger geography or a different population definition.
- Handle upstream changes explicitly. Surface adapter errors and unexpected schema changes rather than returning incomplete results as if they were complete. This matters especially for a beta service whose documentation warns that fields and behavior may change.
Test the integration against source-specific constraints
- Record type: distinguish aggregate vacancy statistics from individual job listings and procurement notices.
- Coverage and granularity: identify the documented country or region and supported geographic level for each source.
- Query requirements: implement each source’s required parameters and variables; SAM.gov’s documentation specifically describes an API key and date field.
- Pagination and updates: follow the upstream pagination model and verify update cadence rather than assuming all records refresh together.
- Stability and vintage: retain source-specific fields and population vintage, and account for changeable beta behavior where applicable.
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