INTEGRATIONS · EXPERTINI ATS

Migrate from Greenhouse

Moving off Greenhouse? Bring your jobs, your candidates, and your live pipeline — including which stage every application was at — across in one structured upload.

3 mnt waktu membaca · Diperbarui Juli 2026 · Expertini Editorial

Greenhouse is a capable enterprise ATS, and teams that leave it usually do so over cost and complexity, not capability. What keeps them from moving is the data: years of jobs, thousands of sourced candidates, and — the part every migration tool ignores — the live funnel, who is at phone screen, who is at offer. Expertini's Third-Party ATS Import moves all three: jobs arrive as reviewable drafts, candidates join a searchable talent pool, and applications re-attach each candidate to their job at the stage they were at, with common Greenhouse stage names mapped onto your pipeline automatically.

The migration is self-serve and honest about what it is: Greenhouse lets you export your own data (it's your legal right), you reshape that export to our documented JSON sample — a spreadsheet exercise or a ten-minute script — and upload. No migration consultants, no per-record fees, no quarter-long project plan. Greenhouse is a trademark of its owner; this page describes moving your own data out of your own account, which no vendor can gatekeep.

Dari sistem mana Anda berpindah?

Ketik untuk mencari — memilih vendor akan membuka panduan migrasi khusus untuk vendor tersebut. Setiap jalur bermuara pada pengimpor yang sama, dengan batas batch dan aturan deduplikasi jujur yang sama.

Peta ketergantungan — apa yang diimpor, secara tepat

Jobstitle, description, location, type, category, salary, experience & education levels — arrive as DRAFTS, nothing goes live by accident

Candidatesname, email, phone, title, location, skills, notes — into the talent pool, deduplicated by email

Applicationscandidate_email + job_external_id + stage + applied_at — rebuilds your funnel; foreign stage names ("phone screen", "offered", "onsite"…) map automatically, unrecognised ones land in Applied

Batch limits500 jobs and 2,000 candidates per upload — split bigger exports; duplicates are skipped, so overlapping batches are safe

CVsdon't travel through JSON — imported candidates carry their profile text; CVs can be added to records any time

Cetak biru antarmuka

Skema struktural antarmuka — panel, hierarki, dan keterjangkauan interaksi. Sebuah kontrak, bukan sekadar tangkapan layar.

ATS Anda saat ini

Ekspor CSV / JSON / API

Pengaturan → Ekspor data, atau hubungi dukungan — data tersebut secara hukum adalah milik Anda.

→

Contoh kontrak JSON

jobs[]candidates[]applications[]

Nama kolom harus sama persis dengan contoh; data tambahan apa pun akan diabaikan. Ubah bentuk dengan spreadsheet, skrip kecil, atau asisten cerdas apa pun: “ubah ke format ini”.

→

Di dalam Expertini ATS

lowongan → draf kandidat → talent pool lamaran → corong, tahapan dipetakan

Dihapus duplikatnya berdasarkan email · tidak ada yang dipublikasikan tanpa klik Anda.

Gbr. 1 — alur migrasi: ekspor dari sistem Anda saat ini, sesuaikan format dengan kontrak JSON contoh, impor dengan deduplikasi dan pemetaan tahapan otomatis.

Alur interaksi — status, validasi, umpan balik

Setiap status di bawah ini diberlakukan di sisi server; antarmuka hanya melaporkannya, bukan memutuskannya.

Export from GreenhouseCSV/JSON/API export — usually Settings → Data export, or ask support; the data is legally yours

Reshape to the sample JSONspreadsheet save-as-JSON, a small script, or paste both files into an AI assistant: "convert to this format"

Upload & validatefield names must match the sample; anything extra is ignored, errors are named

Dedupe + stage mappingcandidates matched by email; foreign stage names map onto your pipeline automatically

Working pipelinejobs as drafts, talent pool populated, funnel rebuilt — review, then publish

Over the batch cap → split the file; overlapping batches are safe because duplicates skipUnknown stage name → lands in Applied, never lostField name mismatch → named validation error; nothing partial importsJobs import as drafts — nothing is published without your clickCVs can't ride in JSON — attach them to imported records afterwards

Gbr. 2 — alur interaksi: biru tua = status, emas = gerbang yang diberlakukan server, hijau = hasil terkonfirmasi; tag mencantumkan kasus khusus dan umpan baliknya.

01What comes across, piece by piece

Jobs: title, description, location, employment type, salary data, experience and education levels — landing as drafts so nothing goes live before you review it. Candidates: name, email, phone, title, location, skills, and notes, deduplicated by email into the talent pool where CV parsing and search make them findable again. Applications: the funnel itself — candidate, job, stage, and application date — so your pipeline view on day one in Expertini looks like your pipeline view on the last day in Greenhouse, not an empty board.

02How stage names translate

Greenhouse workspaces name stages freely — "Phone Screen", "Onsite", "Offer", "Take-Home". The importer maps roughly forty common stage vocabularies onto Expertini's pipeline stages automatically (phone screen → screening, onsite → interview, offered → offer, and so on), and anything unrecognised lands safely in Applied rather than failing the row. You can move any application afterwards — the point is that nobody starts from zero.

03How to run it, step by step

One: export from Greenhouse — jobs and candidates via its own export tools or a data request. Two: download our sample JSON from the import page and reshape your export to match it; the sample shows all three arrays (jobs, candidates, applications) with every field named. Three: upload. You get a per-row report — imported, duplicate, invalid, and why — and re-uploading never creates duplicates, so batching a large migration is safe. Most teams finish in an afternoon.

04After the move

Imported candidates flow into the same candidate database as new applicants — searchable, taggable, scoreable with resume scoring against your open roles. Publishing your reviewed draft jobs distributes them across Expertini's network at no per-posting fee, and your team picks up the funnel exactly where Greenhouse left off.

Pertanyaan yang sering diajukan

Can I really export my data from Greenhouse?⌄

Yes — your data is yours, and Greenhouse provides export paths. If your plan gates a full export, their support must still hand over your data; the reshape-to-JSON step is the same either way.

Does the funnel really come across?⌄

Yes — the applications array links each candidate (by email) to a job (by your old system's job id) at a stage, and stage names map onto Expertini's pipeline automatically. Unrecognised names land in Applied rather than erroring.

What about CVs?⌄

CV files can't travel through JSON, but candidates arrive with their profile text, and CVs can be attached any time — including in bulk from a Dropbox or OneDrive folder via the cloud CV import.

What does the migration cost?⌄

Nothing beyond the subscription — the importer is included on every plan, with no per-record fees. See pricing.

Sekilas

Jobs, candidates, AND the live funnel — stages preserved
Greenhouse stage names auto-mapped onto your pipeline
Jobs arrive as drafts — nothing publishes without review
Candidates deduplicated by email into a searchable talent pool
Per-row import report; re-uploads never duplicate
Self-serve, one afternoon, no migration fees

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