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bulk-operations

hubspot/agent-cli-skills

Foundation patterns for bulk operations in the HubSpot CLI — JSONL piping, pagination, dry-run, and recovery.

What is bulk-operations?

This skill provides the core patterns for working with the HubSpot CLI in bulk: JSONL input/output, batch reading, pagination loops, safe destructive workflows with dry-run and digest confirmation, and audit logging via `hubspot history`. Every other HubSpot skill builds on these patterns.

  • Batch read records via JSONL piping and native multi-ID endpoints instead of spawning one CLI process per record
  • Paginate through large result sets automatically using `pagination-loop.sh` to collect all matching records
  • Reshape read output into write payloads (create, update, upsert, delete, merge, associations) using `jq`
  • Preview destructive operations with `--dry-run` before execution; for >100 rows, use digest + confirm to gate the real operation
  • Recover from mistakes via `hubspot history` audit log, which tracks all destructive ops and their reversibility
  • Count total matching records without paging using `hubspot objects count` to size jobs upfront

How to install bulk-operations

npx skills add https://github.com/hubspot/agent-cli-skills --skill bulk-operations
Prerequisites
  • HubSpot CLI (`hubspot` command) installed and authenticated to a portal
  • Bash shell for running `pagination-loop.sh` and piping commands
  • Basic familiarity with `jq` for reshaping JSON between read and write shapes
Claude Code
Cursor
Windsurf
Cline

How to use bulk-operations

  1. 1.Run `hubspot objects types` once per session to see available object types in your portal
  2. 2.For bulk operations on all records or a filtered set, start with `bash resources/pagination-loop.sh <type> <output_file> [properties] [filters]` to collect all pages into a JSONL file
  3. 3.Reshape the JSONL output using `jq` to match the required write shape (e.g., `jq -c '{id, properties: {field: .properties.field}}'`)
  4. 4.Pipe the reshaped JSONL to the write command with `--dry-run` first: `cat file.jsonl | hubspot objects update --type <type> --dry-run`
  5. 5.For >100 rows, extract the digest and confirm value from the dry-run output, then re-run with `--digest <hash> --confirm <value>` to execute
  6. 6.After any destructive operation, use `hubspot history --since 1h --format table` to audit what changed and check reversibility

Use cases

Good for
  • Bulk update 5,000 contacts' lifecycle stage based on a filter, with dry-run preview and digest confirmation
  • Delete all archived deals and merge duplicate company records in a single paginated, audited workflow
  • Upsert a CSV of new leads by reshaping it to JSONL and piping through the upsert endpoint
  • Search for contacts matching a filter, extract their IDs, and fetch specific properties in one batch call
  • Audit what changed in the last 24 hours and identify which bulk operations are reversible
Who it's for
  • HubSpot developers and agents automating CRM data operations
  • Teams performing bulk migrations, cleanups, or syncs
  • Anyone needing safe, auditable bulk delete or merge workflows
  • Users integrating HubSpot CLI into scripts or agent-driven tasks

bulk-operations FAQ

Why shouldn't I use `xargs` to loop over IDs?

Each `xargs` invocation spawns a separate CLI process, which is slow and wasteful. The CLI's batch endpoints accept multiple IDs in a single call (up to ~100 per call), so always pipe IDs directly to `hubspot objects get` or use the pagination loop.

What's the difference between `list` and `search`?

`list` returns all records of a type in creation order; `search` applies filters and returns matches. Both return at most 100 records per call and require pagination for larger sets. Use `hubspot objects count --filter "..."` to size the job first without paging.

How do I know if a bulk delete is reversible?

Run `--dry-run` first. The output will include an `impact` object with a `reversible` field. If `false`, the operation cannot be undone via `hubspot history` — the user must restore from backup or the UI.

What happens if my dry-run times out or I lose the digest?

The digest expires in 5 minutes. If you lose it, re-run the same read + reshape + dry-run pipeline to generate a new digest. There is no way to recover an expired digest.

Can I use `hubspot history` to restore deleted records?

`hubspot history` is an audit log only — it does not restore records. If a user deletes something by mistake, they must restore via the HubSpot UI or from a backup. Use `history` to confirm what was deleted and when.

Full instructions (SKILL.md)

Source of truth, from hubspot/agent-cli-skills.


name: bulk-operations description: Foundation patterns for the hubspot CLI — JSONL piping, batch read, pagination, dry-run/digest/confirm for destructive ops, and hubspot history for recovery. Every other skill builds on this one. triggers:

  • "bulk update"
  • "bulk create"
  • "bulk delete"
  • "process in bulk"
  • "JSONL pipe"
  • "pagination"
  • "dry-run"
  • "history"
  • "undo"

Resources

FileWhen to use
resources/json-patterns.mdReshape patterns for turning a read into an update payload, a search into a delete list, a CSV into an upsert stream.

Source of truth

This is the hubspot agent CLI; the hs developer CLI (@hubspot/cli) is a different tool and does not manage CRM data or workflows. hubspot <command> --help is authoritative. If anything in this file contradicts --help, trust --help and tell the user. Run hubspot objects types once at the start of a session to see what object types exist in this portal (standard + custom).

Submit Feedback

Use the hubspot feedback command to send a message to the owners of this CLI tool. Pass --source agent so it's attributed to agent traffic (it defaults to user):

hubspot feedback "batch upsert timed out on 5k rows" --source agent

This can be anything from:

  • Specific bugs and hiccups you encountered
  • Things you wish you knew before using the CLI
  • Anything your user got confused, frustrated, or upset about
  • Anything the user asked for that you couldn't do
  • Any tools, capabilities, or skills you wish existed that would make future tasks easier

It takes one short line, attaches to the active HubSpot account, and doesn't block the task — send it and keep going.

Output shape

Every read command (list, search, get) emits JSONL — one JSON object per line:

{"id":"123","properties":{"email":"jane@example.com","firstname":"Jane"},"createdAt":"...","updatedAt":"...","archived":false,"url":"..."}

--properties email,firstname limits which fields the server returns under .properties. Downstream jq should use .properties.email, not .prop_email.

Write commands (create, update, upsert, delete, merge, associations create) accept JSONL on stdin and emit JSONL — one result per input line: {"id":"123","ok":true,"data":{...}} or {"id":"123","ok":false,"error":{"status":...,"message":"..."}}. Order of results matches input order.

Read in batch — never one-by-one

The CLI accepts multiple IDs natively. Never pipe IDs into xargs -I{} hubspot objects get ... — that spawns one CLI process per record.

# Positional args (small, known list)
hubspot objects get --type contacts 12345 67890 23456 --properties email,firstname

# Stdin from another command — one CLI call total
hubspot associations list --from companies:67890 --to contacts \
| jq -c '{id}' \
| hubspot objects get --type contacts --properties email,firstname,jobtitle

# Bare IDs on stdin also work
printf '12345\n67890\n23456\n' | hubspot objects get --type contacts --properties email

A single hubspot objects get reads up to ~100 IDs per call via the batch endpoint. For more, page in chunks of 100.

Bulk flow: paginate first, then reshape, then write

When operating on all records of a type (or all matches of a filter), always start with pagination-loop.sh — never run a bare list or search to "check how many there are." A bare call returns at most 100 records and you will have to re-fetch them anyway. To size the job first, use hubspot objects count --type <t> [--filter "..."], which returns the total matching count (e.g. {"object_type":"contacts","total":42}) without paging.

The canonical bulk pattern is:

  1. Paginate all records to a JSONL file
  2. Reshape with jq into the write payload
  3. Pipe to the write command (update, delete, etc.) with --dry-run first

Pagination

list and search return at most 100 records per call. Use resources/pagination-loop.sh to collect all pages into a single JSONL file:

bash resources/pagination-loop.sh <object_type> <output_file> [properties] [extra_flags...]

Examples:

# All contacts with specific properties
bash resources/pagination-loop.sh contacts /tmp/contacts.jsonl email,firstname,lastname

# Search with a filter (passes extra flags through to the CLI)
bash resources/pagination-loop.sh contacts /tmp/leads.jsonl email,firstname '--filter' 'lifecyclestage=lead'

# All deals, default properties
bash resources/pagination-loop.sh deals /tmp/deals.jsonl

The script pages through --after cursors automatically, prints progress to stderr, and writes JSONL to the output file. Run it as a single foreground command — do not background it or reconstruct the loop inline.

Write in batch — always pipe

Write commands accept JSONL on stdin. The transformation between a read shape and a write shape is a jq reshape:

Write commandRequired per-line shape
objects create{"properties":{"field":"value"}}
objects update{"id":"123","properties":{"field":"value"}}
objects upsert{"idProperty":"email","id":"jane@example.com","properties":{...}} (or use --id-property email once)
objects delete{"id":"123"}
objects merge{"primary":"123","secondary":"456"}
associations create{"from":"contacts:123","to":"companies:456"}

Use plural object names in from/to (contacts:, not contact:).

Safe destructive workflow

Every destructive op (delete, merge, bulk update) supports --dry-run. The gating depends on row count:

≤100 rows — dry-run emits one preview line per record:

{"ok":true,"dry_run":true,"executed":false,"mutation_kind":"RecordMutation","command":"objects delete contacts","target":{"kind":"contacts_record","id":"123","name":"123"}}

Re-run without --dry-run to execute.

>100 rows — dry-run emits a single BulkData line with a digest and an apply_command_hint:

{"ok":true,"dry_run":true,"executed":false,"mutation_kind":"BulkData","portal":"123456","target":{"name":"202 records"},"impact":{"records_affected":202,"reversible":false},"digest":"blast-29cfdd48b583","expires_in_seconds":300,"apply_command_hint":"hubspot objects delete contacts --digest blast-29cfdd48b583 --confirm '202'"}

You must re-run with --digest <hash> --confirm <value> within 5 minutes. The confirm value is the record count (deletes) or the secondary ID (merge). Read it off apply_command_hint.

Three-step pattern:

# 1. Preview
hubspot objects search --type contacts --filter "lifecyclestage=subscriber" \
| jq -c '{id}' \
| hubspot objects delete --type contacts --dry-run \
| tee /tmp/preview.jsonl

# 2. Lift the digest + confirm value (only present for >100 rows)
digest=$(jq -r 'select(.mutation_kind=="BulkData") | .digest' /tmp/preview.jsonl)
confirm=$(jq -r 'select(.mutation_kind=="BulkData") | .impact.records_affected' /tmp/preview.jsonl)

# 3. Execute — re-pipe the SAME inputs
hubspot objects search --type contacts --filter "lifecyclestage=subscriber" \
| jq -c '{id}' \
| hubspot objects delete --type contacts --digest "$digest" --confirm "$confirm"

Recovery via hubspot history

Every destructive op (and its dry-run) is logged locally. Check what happened in the last hour and what's reversible:

hubspot history --since 1h --format table
hubspot history --since 24h --kind BulkData       # only bulk ops
hubspot history --since 7d --kind MetadataDestroy # schema deletes

history does not currently restore records — it's an audit log. If you deleted something by mistake, capture the history line and tell the user to restore via the UI.

For CRM property source history (who or what changed a property — WORKFLOW, INTEGRATION, IMPORT, CRM_UI), use hubspot objects history --type <t> --properties <p>. It flattens each property's version history into one row per change; UI-driven (CRM_UI) changes are excluded by default (--include-ui to keep them). Add --id <recordId> to read one record, or omit it to scan a page. This is separate from the local hubspot history audit log above — use it to investigate why a property changed after a bulk op.

Upsert beats search-then-create

For "create if missing, update if present" (the enrichment pattern), use upsert — one CLI call per record, no race condition:

cat external.jsonl \
| jq -c '{idProperty:"email", id:.email, properties:{firstname:.first, lastname:.last, company:.company}}' \
| hubspot objects upsert --type contacts --dry-run

# Or set idProperty once:
cat external.jsonl \
| jq -c '{id:.email, properties:{firstname:.first}}' \
| hubspot objects upsert --type contacts --id-property email

Rate-limit hygiene

There is no true batch endpoint behind update/delete/upsert — the CLI issues one API call per stdin line. Test with head -n 50 before piping a 50k-row file. If the API starts 429ing, the per-line output will show {"ok":false,"error":{"status":429,...}} — split your input file and retry the failed lines.

Common reshapes

See resources/json-patterns.md for the full set. The two you need 90% of the time:

# Read → update payload
hubspot objects search --type contacts --filter "industry=Tech" \
| jq -c '{id, properties:{lifecyclestage:"marketingqualifiedlead"}}' \
| hubspot objects update --type contacts

# Search → delete list
hubspot objects search --type contacts --filter "!email" \
| jq -c '{id}' \
| hubspot objects delete --type contacts --dry-run

Known constraints

  • objects delete works under both user-OAuth (browser login, with the object's write scope) and a service key; a 403 means the active token is missing that write scope. The exception is the --gdpr permanent purge, which requires a service key (HUBSPOT_ACCESS_TOKEN) — the GDPR endpoint does not accept user OAuth tokens. Some other destructive operations (e.g. associations batch/labels/limits, schemas delete) remain service-key-only and are enforced server-side, so HUBSPOT_SKIP_AUTH_CHECK will not get a user token past them.
  • hubspot owners list returns CRM users; there is no teams object. For team-level operations, group by hubspot_owner_id client-side.
  • hubspot segments provides CRM lists (Lists API): list, get, create, update (metadata), update-filters, delete, restore, and members-list / members-add / members-remove.
  • hubspot sequences provides read-only access to Sales Hub sequences: list --user-id <id> (paginated, --name filter), get <id> --user-id <id> (steps + settings), and enrollments <contact_id> (a contact's enrollment history). Sequences are a product API surface (Sales Hub Professional+, automation.sequences.read scope), not a CRM object type — objects list --type sequences does not work, and there is no create/update/delete/enroll.
  • Maintaining this section: the command surface grows — do not assume an API is absent because it was when this was written. When a new command family ships (see CHANGELOG.md), revisit these constraints. hubspot --help is authoritative for what exists today.