Run in Enrichment Spreadsheet
Use this function as a column step in
deepline enrich.deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=bloomberry_get_tech_stack_changes:{}' --json
Map payload values to spreadsheet columns with
{{column_name}} placeholders.Input Schema
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
payload.next_token | string | No | Pagination token from previous response (located in “pagination” > “next_token”) to fetch the next page. Leave blank for the first page | |
payload.limit | integer | No | 20 | Signals per page |
payload.begin_date | string | No | Start date. Defaults to the first date in our dataset. | |
payload.end_date | string | No | End date. Defaults to end of today. | |
payload.category | string | No | The product category to get tech stack changes for. All possible product categories are available at https://api.revealera.com/categories.txt. Pass “all” to get changes for all categories. Note: ONLY 1 of category OR vendor_name MUST be specified, but no more than 1. | |
payload.vendor_name | string | No | The vendor_name to get tech stack changes for. For example, ‘Google Workspace’ to get tech stack changes for Google Workspace. Note: ONLY 1 of category OR vendor_name MUST be specified, but no more than 1. All possible vendor names can be found here: https://api.revealera.com/vendors.txt | |
payload.churn_only | string | No | false | true if you want to see churn changes only. false if you want to see all changes, including churn |
payload.new_only | string | No | false | true if you want to see new installs or new usage changes only. false otherwise |
payload.company_employee_size_range | string | No | Only show tech stack changes from companies with number of employees that match the specified size ranges. Possible ranges are 1 employee, 2-10, 11-50, 51-200, 201-500, 501-1,000, 1,001-5,000, 5,001-10,000, 10,001+. Separate multiple values with semicolon. | |
payload.company_industry | string | No | Only show tech stack changes from companies in the specified industries. We look at the LinkedIn company page to determine industries. All possible industries are available at https://api.revealera.com/linkedin_industries.txt . Separate multiple values with semicolon. | |
payload.company_country | string | No | Only show tech stack changes from companies headquartered in the specified countries. Country codes must be in ISO 3166-1 alpha-2 format. Separate multiple values with semicolon. | |
payload.omit_linkedin_data | string | No | false | true if you to omit linkedin-related fields from the response (ie for compliance reasons) |
Output Schema
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
result.data | object | Yes | Provider response payload. | |
result.meta | object | No | Additional response metadata (status, paging). |
Advanced: Direct CLI
Use direct execution for single payload debugging.
deepline tools execute bloomberry_get_tech_stack_changes --payload '{}' --json
CLI flags
| Flag | Description |
|---|---|
--json | Print machine-readable output. |
--wait | Wait for terminal provider status when supported. |
--debug | Enable wait mode with additional status/log output. |
--wait-timeout SECONDS | Max seconds to wait in wait mode. |
--poll-interval SECONDS | Polling interval in seconds during wait mode. |
--timeout SECONDS | Request timeout in seconds. |
--connect-timeout SECONDS | Connection timeout in seconds. |
Cost
- Pricing model:
per_result(per result). - Estimated Deepline credits:
4.21per pricing unit. - Billing mode:
post_deduct.