{ "openapi": "3.0.1", "info": { "title": "CSV Contact Enrichment - Fill Contact Data in Any Columns", "description": "Enrich a CSV or list of rows with work emails, phones, job title and company. Any column names: map them once, every original column comes back unchanged with new columns added. Pay per enriched contact, misses free. Free plan: 100 rows per run. Does not verify mailboxes. No login or cookies.", "version": "0.1", "x-build-id": "1t12hOQEZbaXbivti" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/b2bdata~contact-enrich-csv/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-b2bdata-contact-enrich-csv", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/b2bdata~contact-enrich-csv/runs": { "post": { "operationId": "runs-sync-b2bdata-contact-enrich-csv", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/b2bdata~contact-enrich-csv/run-sync": { "post": { "operationId": "run-sync-b2bdata-contact-enrich-csv", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "items" ], "properties": { "items": { "title": "Rows to enrich (one object per CSV row, any column names)", "type": "array", "description": "Step 1. A list of row objects, one per CSV row, with any columns you like. Each row needs at least one strong key: a LinkedIn profile URL, an email address, a GitHub, Twitter/X or Facebook handle, or a full name plus a company domain. Rows without one are listed in MISSES and are free. Convert a CSV to this list with any CSV-to-JSON tool or your own script. Example: [{\"Name\": \"Patrick Collison\", \"Company Website\": \"stripe.com\"}]." }, "columnMap": { "title": "Which column is which (optional)", "type": "object", "description": "Step 2, optional. Tells the actor what each of your columns holds: {\"your column name\": \"field\"}. Fields: linkedin, email, github, twitter, facebook, fullName, firstName, lastName, domain. Obvious names (LinkedIn, Email, Name, First Name, Last Name, Domain, Website) are detected without this. Omit to auto-detect only. An unknown field name stops the run before any charge." }, "fields": { "title": "What to add to each row", "type": "array", "description": "Step 3. Which values to add: email (needs a name and a company domain), phone, jobTitle, company. Only the fields you pick are looked up and charged. Omit for email and phone.", "items": { "type": "string", "enum": [ "email", "phone", "jobTitle", "company" ], "enumTitles": [ "Work email", "Phone number", "Job title", "Current company" ] }, "default": [ "email", "phone" ] }, "limit": { "title": "Max rows to look up", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Step 4. How many rows from the list are looked up. 0 means all of them, up to 1,000 per run. A value above 1,000 stops the run with a message; split the list. Omit for 25. Free Apify plans look up up to 100 rows per run.", "default": 25 }, "includeAudit": { "title": "Include audit fields", "type": "boolean", "description": "Adds requestId, batchUnitsCharged, latencyMs, inputCanonical and emailUnits to each row under audit. Omit for clean rows.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } } }