Update, August 2026: Glassdoor legally merged into Indeed, Inc. on July 1, 2026, completing a consolidation under Recruit Holdings that began with unified logins in late 2025. Both brands and their Actor routes continue to operate, but the two sources now share one operating entity, one account system, and one set of terms. Treat Indeed and Glassdoor as two surfaces of one vantage point rather than independent sources: keep collecting both for their different field sets, but do not count them as independent confirmation of the same market signal. Our studio note Every Platform Merger Is a Data Event covers what this means for source diversity.
There is no universally best job-data source. LinkedIn is often selected for professional and company context, Indeed for broad job-search coverage, and Glassdoor for its employer-oriented environment. The right choice depends on the exact entity, geography, fields, and freshness the workflow needs.
AgentX provides focused routes for LinkedIn Jobs, Indeed Jobs, and Glassdoor Jobs, plus an All Jobs Scraper for standardized multi-source collection.
What is the short answer?
| Workflow priority | Starting source | Reason to test it first |
|---|---|---|
| Role and company discovery in a professional network context | Company and professional entities may align with enrichment workflows | |
| Broad keyword and location job search | Indeed | Designed around job discovery across many employers and markets |
| Employer-focused job and compensation research | Glassdoor | Often selected when employer and displayed pay context matter |
| Cross-source coverage with one schema | All Jobs | Reduces adapter work and supports source comparison |
This is a testing order, not a permanent verdict. Current fields and supported filters must be verified on each Actor’s live Apify page.
Why does entity choice come before source choice?
“LinkedIn data” can mean a job, company, profile, post, or video. If the output entity is a company, LinkedIn Company Lookup may be more relevant than a jobs Actor. If the entity is a listing, define the job row before comparing sources.
Write down:
- required source or accepted alternatives;
- job title and company fields;
- location and remote requirements;
- salary and employment-type requirements;
- maximum acceptable age;
- source URL and identifier requirements;
- downstream export or enrichment needs.
Without that contract, source comparisons turn into vague opinions.
How should coverage be compared?
Run a controlled test. Use the same logical keywords, location, freshness window, and result limit wherever each source supports them. Then compare:
- Valid result rate: rows that actually match the intended role and location.
- Unique employer count: not just raw listing volume.
- Unique listing count: after transparent duplicate grouping.
- Required-field coverage: percentage of rows usable downstream.
- Freshness: distribution of source dates and collection times.
- Traceability: percentage of rows with a working source URL.
Raw count alone rewards duplicate-heavy or weakly matched results.
How should overlapping listings be treated?
Cross-posting is expected. Preserve every source row, then add a cluster ID for probable copies of the same opening. That lets analysts distinguish:
- source distribution;
- unique observed openings;
- differences in descriptions or salary displays;
- earlier and later observations;
- employer or agency reposting.
Do not merge on title alone. “Software Engineer” can describe many active openings at one employer.
What about location and remote work?
Each source may express location differently. Normalize only after retaining the original display. A robust model separates:
- physical job location;
- applicant location requirements;
- workplace type such as remote, hybrid, or on-site;
- query location used for discovery.
Google’s current JobPosting documentation also treats physical location and fully remote eligibility as distinct concepts. Even when you are not publishing job pages, that separation is a useful schema discipline.
When is the multi-source orchestrator the better answer?
Choose the multi-source route when the cost of maintaining several adapters exceeds the value of source-specific fields. It is a strong fit for dashboards, alerting, and broad market scans.
Choose separate Actors when:
- one source is contractually required;
- source-specific filters are central;
- the workflow needs deeper source fields;
- failures must be isolated per source;
- each source has a different schedule or budget.
What should be documented after the pilot?
Publish an internal source matrix with the test date, query, supported fields, missing-field rates, observed duplicates, and known limitations. Repeat the sample after a meaningful Actor or source change.
For the full pipeline, read How to Build a Hiring Intelligence Pipeline and How to Collect Job Listings From Multiple Sites.
Continue in the directory
Turn the guide into a real sample run.
Open the current AgentX contract, check pricing and fields, then validate a narrow output.