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Best cached LinkedIn job search API in 2026

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We benchmarked 3 cached LinkedIn job search API providers. We list all three, ranked by score. For each one, we show its top scoring plan, each part of the plan's score and what 1,000 jobs cost.

Best LinkedIn job search API in 2026

  1. #1 BlitzAPI: Cached LinkedIn job search API

    BlitzAPI, $499 monthly

    It returns 4 of the 13 key fields we check: Description, Location, Company, Posted.

    Overall score
    74.9
    $ per 1,000
    $0.10
    Price score
    49
    • $ per 1,000 searches that find no job: $0
    • Plans of this API we rank by price: 12
    • Plans cheaper per 1,000 jobs than this plan: 7
    Data score
    96
    Cost to get started score
    52
    • How you pay: monthly
    • Least to pay before your first result: $499
    Bundle score
    94
    • Also pays for, from the same budget: Find People · Employee Finder · Waterfall ICP Search · Company Search · TAM By Jobs · TAM By People and 11 more
    Performance score
    100
    • Its median time per call in our benchmark of 22 October 2026, minus the baseline: 0.254 s
    • BlitzAPI, the fastest benchmarked provider: 0.254 s
    • In our benchmark of 22 October 2026, we called every provider on the same 20 searches.
    • We scored this plan 0.955 out of 1 in our benchmark, so its Data score is 96.

  2. #2 Scrappa: Cached LinkedIn job search API

    Scrappa, $500 pack

    It returns none of the 13 key fields we check.

    Overall score
    67.0
    $ per 1,000
    $0.012
    Price score
    100
    • $ per 1,000 searches that find no job: $0
    • Plans of this API we rank by price: 12
    • Plans cheaper per 1,000 jobs than this plan: 0
    Data score
    47
    Cost to get started score
    65
    • How you pay: a pack you pay first
    • Least to pay before your first result: $500
    Bundle score
    67
    • Also pays for, from the same budget: any Scrappa endpoint · Data Streams events acknowledged by your webhook
    Performance score
    17
    • Its median time per call in our benchmark of 22 and 23 October 2026, minus the baseline: 1.491 s
    • BlitzAPI, the fastest benchmarked provider: 0.254 s
    • In our benchmark of 22 and 23 October 2026, we called every provider on the same 20 searches.
    • We scored this plan 0.4708 out of 1 in our benchmark, so its Data score is 47.

  3. #3 Fiber AI: Cached LinkedIn job search API

    Fiber AI, $300 monthly

    It returns 11 of the 13 key fields we check: Description, Applying, Category, Location, Remote, Salary, Terms, Level, Company, Posted, Status.

    Overall score
    59.9
    $ per 1,000
    $20.00
    Price score
    27
    • $ per 1,000 searches that find no job: $0
    • Plans of this API we rank by price: 12
    • Plans cheaper per 1,000 jobs than this plan: 10
    Data score
    76
    Cost to get started score
    65
    • How you pay: monthly
    • Least to pay before your first result: $300
    Bundle score
    96
    • Also pays for: Export audience companies to CSV · Export audience prospects to CSV
    • Also pays for, from the same budget: Work email reveal · Personal email reveal · Phone number reveal · Live company fetch and 20 more
    Performance score
    85
    • Its median time per call in our benchmark of 25 October 2026, minus the baseline: 0.299 s
    • BlitzAPI, the fastest benchmarked provider: 0.254 s
    • In our benchmark of 25 October 2026, we called every provider on the same 20 searches.
    • We scored this plan 0.76 out of 1 in our benchmark, so its Data score is 76.

The Data score on cached LinkedIn job search APIs

We asked each call for 10 jobs per search. This score, out of 100, is the share of those 10 that the call returned and that match the search. We check each job on its own LinkedIn page. A match is still open and in the country searched. It also has the searched word where the call's docs say the call looks: the job's title or its whole posting. If a provider ran on fewer searches, we compare it with how the others did on those same searches. That way, easy searches can't raise its score. If we called a provider more than once on the same search, we score it on all those calls. That way, one run can't decide its score. Each provider here answers from its own saved copy of LinkedIn jobs.

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