Bulk Operations
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.
- Skill ID
- hubspot/agent-cli-skills/bulk-operations
- Publisher
- hubspot
- Repository
- agent-cli-skills
- Installs
- 0
- Files
- 3
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
hubspot/agent-cli-skills/bulk-operationsInstalls these files- SKILL.md
- resources/json-patterns.md
- resources/pagination-loop.sh
What this skill tells the agent
Resources
| File | When to use |
|---|---|
resources/json-patterns.md | Reshape 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 agentThis 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 emailA 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.
The canonical bulk pattern is:
- Paginate all records to a JSONL file
- Reshape with
jqinto the write payload - Pipe to the write command (
update,delete, etc.) with--dry-runfirst
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.jsonlThe 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 command | Required 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 deleteshistory 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.
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 emailRate-limit hygiene
More from hubspot
Use this skill in a project
Open any RiverX project, search the Skills panel for hubspot/agent-cli-skills/bulk-operations, and install it in one click.
