Prompt
How do I set up job feed management software to publish and refresh listings across a niche job board?
Latest observation
To set up job feed management software for a niche job board, think of it as a pipeline with 5 parts:
- Source jobs
- Ingest and normalize them
- Filter/deduplicate/enrich
- Publish to your board
- Refresh/expire listings automatically
Here’s a practical setup flow.
1) Define your feed sources
First, identify where listings will come from:
- Direct employer ATS feeds: Greenhouse, Lever, Workday, Ashby, iCIMS, etc.
- Partner feeds: agencies, associations, niche employers
- Aggregators/API providers: if allowed by their terms
- Manual uploads: CSV, XML, JSON
For a niche board, you usually want sources that match your niche tightly, such as:
- industry-specific employers
- location-based roles
- remote-only jobs
- specialty titles/skills
2) Choose job feed management software
Look for software that can:
- ingest API, XML, RSS, CSV, JSON
- map custom fields
- deduplicate jobs
- schedule refreshes
- expire stale jobs
- support moderation/workflows
- expose an API or webhooks for your board
- track source, sponsor, and status
Common features you’ll want:
- field mapping
- feed transformation rules
- job ID management
- auto-refresh / revalidation
- expiry handling
- taxonomy/tagging
- analytics
If your board is custom-built, make sure the software can push into your database or CMS.
3) Set up your data model
Before importing anything, define the fields your board will store.
Typical job fields:
- external job ID
- title
- company
- company logo
- description
- location
- remote/hybrid status
- salary range
- job type
- category/tags
- apply URL
- source name
- source URL
- posted date
- refreshed date
- expiry date
- status: active, expired, hidden, pending
Also define your matching rules for niche relevance, for example:
- only jobs with certain titles
- only jobs in a specific sector
- only jobs meeting location/remote rules
- only jobs containing approved keywords
4) Configure ingestion and mapping
For each feed source:
a) Connect the feed
- API key / OAuth
- feed URL
- file upload
- scheduled import
b) Map source fields to your board fields
Example:
job_title→titlejob_location→locationjob_url→apply_urlcompany_name→companydate_posted→posted_date
c) Normalize data
Standardize:
- location formats
- country/state names
- salary units
- job type labels
- remote/hybrid definitions
d) Add classification rules
Assign category/tag based on:
- keywords in title/description
- employer industry
- source feed
- geo rules
5) Deduplicate listings
This is critical for a niche board so users don’t see the same job multiple times.
Common dedupe keys:
- external job ID
- apply URL
- title + company + location
- canonical job URL
Set precedence rules:
- keep the most complete record
- prefer direct employer source over syndication
- merge sponsored metadata if applicable
6) Set refresh logic
“Refreshing” means confirming the job is still active and updating stale fields.
Typical approaches:
A. Scheduled re-pull
Re-import each feed every 1–24 hours depending on source reliability.
B. Status verification
If the source provides job status:
- active
- closed
- filled
- paused
Then update your board automatically.
C. Last-seen logic
If a job hasn’t appeared in the source after X days:
- mark as expired
- hide from search
- optionally keep archived
D. Expiry rules
Use an expiry window if the source doesn’t provide one:
- 30 days
- 45 days
- 60 days
For niche boards, shorter expiry windows usually help keep the board fresh.
7) Publish to the job board
You’ll need a publishing method based on your stack:
If using a CMS
- push jobs into custom post types
- update via API
- set status and indexing fields
If using a custom app/database
- insert/update via REST API or direct DB pipeline
- generate pages dynamically
- index with Elasticsearch/OpenSearch if needed
If using a marketplace/job board platform
- use their import tools or integrations
- map custom taxonomy and featured listings
Make sure published records include:
- canonical URL
- source attribution
- application link
- refreshed date
- expiration date
- structured data markup for SEO
8) Add moderation and quality checks
For niche boards, manual review can be useful, especially at first.
Set up checks for:
- spam or irrelevant jobs
- duplicate employers
- broken apply links
- salary anomalies
- missing company names
- mismatched categories
Workflow options:
- auto-publish trusted sources
- manual review for new sources
- hold for approval if confidence score is low
9) Automate refresh and cleanup
A typical schedule might be:
- Every 1–6 hours: ingest high-priority feeds
- Daily: refresh all active jobs
- Weekly: audit expired/hidden items
- Monthly: review source quality and relevance
Automations:
- expire jobs after no refresh
- ping broken apply URLs
- update company metadata
- recategorize based on improved rules
- remove archived jobs from public search
10) Track analytics
Monitor:
- feed success/failure rates
- duplicate rate
- active vs expired jobs
- click-through rate
- apply conversion rate
- source performance
- top categories and employers
This helps you decide:
- which sources are valuable
- which feeds need better mapping
- which niches deserve more sourcing
A simple implementation pattern
If you want a straightforward architecture:
Source feeds → ingestion service → normalization/dedupe → database → publishing API/CMS → scheduled refresh job
Tools you might use:
- Zapier/Make/n8n for lightweight automation
- Airbyte/Fivetran for connectors
- custom Python/Node scripts for transformations
- cron + serverless functions for refresh jobs
- CMS API for publishing
Best practices for niche boards
- prioritize direct employer feeds
- enforce strict relevance rules
- keep expiration short
- show “last updated” times
- remove stale jobs quickly
- tag by niche-specific taxonomy
- avoid over-aggregating generic roles
- maintain source attribution for trust
Example workflow
- Import a Greenhouse feed every 2 hours
- Normalize title, location, salary, and remote status
- Deduplicate against existing jobs
- Auto-tag roles as “Data Science,” “AI,” or “ML”
- Publish new jobs immediately
- Refresh active jobs every day
- Expire jobs not seen for 14 days
- Archive expired jobs for internal review
If you want, I can also give you:
- a recommended software stack for a niche job board,
- a step-by-step setup checklist, or
- a sample data schema + refresh workflow.
Observation history
See 1 earlier observation
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Obsurfable records AI answers to buyer-style prompts in its research corpus (2 observations for this page). Metrics are distributions over observations, not a single static ranking.
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