⭐ Leads Scraper $1.7/1000 with REAL Emails ✅ like Apollo
Pricing
from $1.70 / 1,000 results
Emails & Linkedin & Description and way more... ✅ Like Apollo, Zoominfo, Lusha, Crunchbase
You can access the ⭐ Leads Scraper $1.7/1000 with REAL Emails ✅ like Apollo programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
![✨Leads Finder - $1.5/1k leads with Emails [Apollo Alternative] avatar](https://images.apifyusercontent.com/hQh95d2BMIK4aiNBVTAopmRKraOLFaDFmflsEsCTEKM/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vaUpPU0hXZDl4ZmFoRzBTWm0tYWN0b3ItSW9TSHF3VFI5WUdoemNjZXotYmdMcjdPbmo0Qy1jb21wYW55X3NjcmFwZXIucG5n.webp){kind=avatar}
{ "openapi": "3.0.1", "info": { "version": "1.0", "x-build-id": "wFgCq6EU3Y1khco34" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/amr-mando~lead-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-amr-mando-lead-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/amr-mando~lead-finder/runs": { "post": { "operationId": "runs-sync-amr-mando-lead-finder", "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/amr-mando~lead-finder/run-sync": { "post": { "operationId": "run-sync-amr-mando-lead-finder", "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": [ "url", "cookies" ], "properties": { "runLabel": { "title": "📝 Run Label", "type": "string", "description": "Optional label to identify this run. You guys must stay organised!" }, "url": { "title": "🔗 Lead Platform URL", "type": "string", "description": "Input your leads platform URL. The one you would like to get similar leads to, input the URL of the lead platform so we fetch the filters. " }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Max 10000, (Free Plan Users 50 Max)", "default": 10000 }, "verifyEmails": { "title": "📧 Verify Emails + Provider (+$0.9/1000)", "type": "boolean", "description": "When enabled, checks the deliverability of every scraped email and adds two columns to your results: the verification result and the email provider.", "default": false }, "fetchDescription": { "title": "🌐 Fetch Company Description (+$0.6/1000)", "type": "boolean", "description": "When enabled, scrapes company website and extracts a description, adding it as a new column in your results.", "default": false }, "cookies": { "title": "🍪 Cookies (JSON)", "type": "string", "description": "Cookies from your lead platform in JSON format." }, "country": { "title": "🌍 Country you are in", "enum": [ "US", "CA", "GB", "DE", "FR", "IT", "ES", "NL", "BE", "SE", "NO", "DK", "FI", "PL", "CZ", "AT", "CH", "IE", "PT", "GR", "RO", "HU", "BG", "HR", "SK", "SI", "LT", "LV", "EE", "JP", "KR", "SG", "HK", "TW", "IN", "AU", "BR", "MX", "AR", "CL", "CO", "PE", "ZA", "EG", "NG", "KE", "IL", "TR", "AE", "SA" ], "type": "string", "description": "Select the country nearest to where you are currently located. If your exact country is not listed, choose the closest one.", "default": "US" } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for ⭐ Leads Scraper $1.7/1000 with REAL Emails ✅ like Apollo from the options below:
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