Under maintenance

Pricing

Pay per usage

Try for free

Go to Apify Store

Lead Scraper & Email Finder - Decision Makers

Under maintenance

Try for free

Upload a company list, get verified decision maker emails, phones, LinkedIn, and social profiles. 12-stage pipeline: website discovery, contact extraction, email finder, verification, social enrichment, lead scoring, and Excel export. For email marketing, cold outreach, and B2B prospecting.

Pricing

Pay per usage

Rating

5.0

(3)

Developer

Leadslogix LLC

Actor stats

Bookmarked

Total users

Monthly active users

0.89 hours

Issues response

2 days ago

Last modified

Categories

Lead generation

You can access the Lead Scraper & Email Finder - Decision Makers 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 Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "10.1",
    "x-build-id": "Tthpzp1nEoqTUO4Oo"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/painless_tweet~leadslogix-pipeline/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-painless_tweet-leadslogix-pipeline",
        "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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/painless_tweet~leadslogix-pipeline/runs": {
      "post": {
        "operationId": "runs-sync-painless_tweet-leadslogix-pipeline",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/painless_tweet~leadslogix-pipeline/run-sync": {
      "post": {
        "operationId": "run-sync-painless_tweet-leadslogix-pipeline",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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",
        "properties": {
          "pipelineVersion": {
            "title": "Pipeline Engine",
            "enum": [
              "v10",
              "v9",
              "v8"
            ],
            "type": "string",
            "description": "v10 = Unified Intelligence Platform (default): enterprise-grade parallel pipeline with self-learning intelligence graph, evidence-first data model, 7 independent worker agents, warehouse-ready export, and quality tier classification. v9 = Intelligence OS (legacy). v8 = 24-stage linear pipeline (legacy).",
            "default": "v10"
          },
          "inputFile": {
            "title": "Upload CSV/Excel File",
            "type": "string",
            "description": "Upload a CSV or Excel file with company names and/or websites. Auto-detects column names (30+ aliases supported)."
          },
          "inputUrl": {
            "title": "CSV/Excel URL",
            "type": "string",
            "description": "URL to a publicly accessible CSV or Excel file."
          },
          "companies": {
            "title": "Company List (inline)",
            "type": "array",
            "description": "Provide companies as JSON array.",
            "items": {
              "type": "object",
              "properties": {
                "company_name": {
                  "title": "Company Name",
                  "type": "string",
                  "description": "Company name"
                },
                "website": {
                  "title": "Website",
                  "type": "string",
                  "description": "Company website URL (optional — will be discovered if missing)"
                }
              }
            }
          },
          "maxResults": {
            "title": "Max Results",
            "minimum": 1,
            "maximum": 100000,
            "type": "integer",
            "description": "Maximum companies to process. Free tier: 20 results per run. Beyond that: $2 per 1,000 results (pay-per-event). Platform compute charges billed separately by Apify.",
            "default": 20
          },
          "workers": {
            "title": "Parallel Workers (Initial)",
            "minimum": 1,
            "maximum": 32,
            "type": "integer",
            "description": "Initial number of concurrent async workers. Adaptive concurrency auto-scales between 4-32 based on success rate and response times. Uses HTTP-first with shared browser pool (2 browsers, 6 tabs).",
            "default": 16
          },
          "maxContactsPerCompany": {
            "title": "Max Contacts Per Company",
            "minimum": 1,
            "maximum": 200,
            "type": "integer",
            "description": "Cap on contacts per company. Decision makers and high-scored contacts prioritized.",
            "default": 100
          },
          "maxCrawlPagesPerCompany": {
            "title": "Max Crawl Pages Per Company",
            "minimum": 5,
            "maximum": 100,
            "type": "integer",
            "description": "Controls how many high-value website pages are crawled per company. Higher values improve contact yield but use more compute.",
            "default": 40
          },
          "incrementalMode": {
            "title": "Incremental Mode (Delta Processing)",
            "type": "boolean",
            "description": "Skip companies enriched within the freshness window (default 7 days). Uses cross-run cache to avoid re-processing. Saves ~70% time on repeat runs with the same company list.",
            "default": false
          },
          "incrementalFreshnessDays": {
            "title": "Incremental Freshness (Days)",
            "minimum": 1,
            "maximum": 90,
            "type": "integer",
            "description": "How many days before a cached company is considered stale and re-enriched. Only applies when Incremental Mode is enabled.",
            "default": 7
          },
          "minLeadScore": {
            "title": "Minimum Lead Score",
            "minimum": 0,
            "maximum": 100,
            "type": "integer",
            "description": "Quality gate: contacts below this combined_priority score are filtered out before export. Set to 0 to export all contacts.",
            "default": 0
          },
          "minConfidenceScore": {
            "title": "Minimum Confidence Score",
            "minimum": 0,
            "maximum": 100,
            "type": "integer",
            "description": "Quality gate: contacts below this confidence score are filtered out before export. Set to 0 to export all contacts.",
            "default": 0
          },
          "webhookUrl": {
            "title": "Webhook URL",
            "type": "string",
            "description": "HTTP endpoint to receive pipeline results on completion. Sends POST with JSON payload containing summary stats and optional full results. Retries 3x with exponential backoff on failure."
          },
          "webhookSendFullResults": {
            "title": "Include Full Results in Webhook",
            "type": "boolean",
            "description": "Include complete contact/company data in webhook payload. When disabled, only summary statistics are sent (smaller payload, faster delivery).",
            "default": false
          },
          "exportJsonLines": {
            "title": "Export JSON Lines",
            "type": "boolean",
            "description": "Also export results as JSON Lines (.jsonl) in KeyValueStore. One JSON object per line — ideal for streaming ingestion, BigQuery, or processing large datasets.",
            "default": false
          },
          "crawlStopContacts": {
            "title": "Crawl Early-Exit Contact Threshold",
            "minimum": 0,
            "maximum": 100,
            "type": "integer",
            "description": "Stop crawling a company's remaining low-priority pages once this many titled contacts (plus at least one email) have been found. High-priority pages (contact/team/leadership) are always crawled. Set 0 to disable early exit.",
            "default": 30
          },
          "reuseBrowserContexts": {
            "title": "Reuse Browser Contexts",
            "type": "boolean",
            "description": "Reuse a browser context across renders (rotated with a fresh fingerprint every 25 requests) instead of creating one per page. Faster and lighter; disable if you see elevated block rates.",
            "default": true
          },
          "pushWarehouseTables": {
            "title": "Push Warehouse Tables to Dataset",
            "type": "boolean",
            "description": "Also push the warehouse-ready companies and contacts tables (rows tagged with _table) into the default dataset. The warehouse JSON is always available in the KeyValueStore as warehouse_export.json. Enabling this duplicates contact rows in the dataset and increases pay-per-result cost.",
            "default": false
          },
          "skipGoogleBoost": {
            "title": "Skip Google Discovery Boost",
            "type": "boolean",
            "description": "Skip the 8-step Google Discovery Boost (domain recovery, email/social discovery via search engines, DNS validation).",
            "default": false
          },
          "skipSocialEnrichment": {
            "title": "Skip Social Enrichment",
            "type": "boolean",
            "description": "Skip the 8-platform social profile discovery stage (LinkedIn, Twitter, Facebook, Instagram, YouTube, GitHub, Crunchbase, Glassdoor).",
            "default": false
          },
          "skipLinkedInDiscovery": {
            "title": "Skip LinkedIn Employee Discovery",
            "type": "boolean",
            "description": "Skip the LinkedIn employee discovery stage. This stage uses multi-query search (DuckDuckGo + Bing fallback) with role-based variations (CEO, CTO, VP, Director, Manager, etc.) to discover decision makers on LinkedIn. Significantly increases contact yield for larger companies.",
            "default": false
          },
          "skipSemanticPageDetect": {
            "title": "Skip Semantic Page Detection",
            "type": "boolean",
            "description": "Skip the semantic page detection stage. This stage analyzes crawled HTML to classify pages as leadership, speaker, board, investor relations, careers, or partner pages.",
            "default": false
          },
          "skipSearchExpansion": {
            "title": "Skip Search Expansion + SERP Intelligence",
            "type": "boolean",
            "description": "Skip the search expansion matrix and SERP intelligence stage. Generates 8-category search queries (employee, executive, email, PDF, hiring, press, conference, investor) and extracts revenue estimates, funding signals, company size, and acquisition news from search snippets.",
            "default": false
          },
          "skipFileIntelligence": {
            "title": "Skip File Intelligence (PDF Mining)",
            "type": "boolean",
            "description": "Skip the file intelligence stage. Downloads and parses PDFs and documents found during search expansion and crawling. Extracts contacts, org chart data, and emails from document content invisible to HTML-based extraction.",
            "default": false
          },
          "skipDeepContactExtract": {
            "title": "Skip Deep Contact Extraction",
            "type": "boolean",
            "description": "Skip the deep 4-method contact re-extraction stage. Runs JSON-LD, team cards, heuristic, and LinkedIn link extraction on all crawled HTML, re-crawls for companies with 0 contacts.",
            "default": false
          },
          "skipHiddenContactExtract": {
            "title": "Skip Hidden Contact Extraction",
            "type": "boolean",
            "description": "Skip the hidden contact extraction stage. Parses JS state stores (__NEXT_DATA__, __NUXT__, __INITIAL_STATE__), inline JSON-LD arrays, and hydration payloads for contact data not visible in rendered HTML.",
            "default": false
          },
          "skipContactIntelligence": {
            "title": "Skip Contact Intelligence Engine",
            "type": "boolean",
            "description": "Skip the contact intelligence engine. Applies decision maker mapping (seniority 0-5, persona classification), target title matching, authority scoring, and circuit breaker intelligence learning.",
            "default": false
          },
          "skipCompanyIntel": {
            "title": "Skip Company Intelligence Profile",
            "type": "boolean",
            "description": "Skip the company intelligence profile stage. Builds tech stack fingerprinting (18+ frameworks), analytics tools detection, employee count estimation, SaaS signals, hiring velocity, and company maturity scoring (0-100).",
            "default": false
          },
          "skipExecutiveCorrelation": {
            "title": "Skip Executive Correlation Engine",
            "type": "boolean",
            "description": "Skip the executive correlation engine. Cross-references contacts from all extraction methods (crawl, deep extract, hidden, LinkedIn, search, file intel), merges duplicates by email/name/LinkedIn, and builds unified profiles with composite confidence scores.",
            "default": false
          },
          "skipEmailDiscovery": {
            "title": "Skip Email Discovery",
            "type": "boolean",
            "description": "Skip the 5-layer email discovery stage (DNS/OSINT, website crawl, search engine, PDF, social).",
            "default": false
          },
          "skipEmailPrediction": {
            "title": "Skip Email Prediction",
            "type": "boolean",
            "description": "Skip the email prediction stage (8-pattern generation for contacts missing emails).",
            "default": false
          },
          "skipVerification": {
            "title": "Skip Email Verification",
            "type": "boolean",
            "description": "Skip the 6-check email verification stage (MX, SPF, DKIM, DMARC, role detection, disposable check).",
            "default": false
          },
          "skipQualityGate": {
            "title": "Skip Quality Gate",
            "type": "boolean",
            "description": "Skip the quality gate stage. When skipped, all contacts are exported regardless of lead score or confidence. Quality gate filtering uses minLeadScore and minConfidenceScore thresholds.",
            "default": false
          },
          "parallelMode": {
            "title": "Parallel Processing Mode",
            "type": "boolean",
            "description": "Enable parallel company processing. When enabled, multiple companies are enriched simultaneously using independent worker agents. Disable for sequential processing (slower but uses less memory).",
            "default": true
          },
          "targetConfidence": {
            "title": "Target Confidence Score",
            "minimum": 0,
            "maximum": 1,
            "type": "number",
            "description": "Target confidence threshold (0.0-1.0) for the goal-seeking enrichment loop. The pipeline re-enriches companies below this confidence until the target is reached or max passes exhausted. Higher values produce better data but take longer.",
            "default": 0.8
          },
          "maxPasses": {
            "title": "Max Enrichment Passes",
            "minimum": 1,
            "maximum": 15,
            "type": "integer",
            "description": "Maximum number of re-enrichment passes per company in the goal-seeking loop. Each pass fills confidence gaps identified by the completeness scorer.",
            "default": 5
          },
          "companyConcurrency": {
            "title": "Company Concurrency Floor",
            "minimum": 1,
            "maximum": 20,
            "type": "integer",
            "description": "Minimum number of companies processed in parallel — the adaptive concurrency controller never scales below this even when error rates rise. The upper bound is set by 'workers'.",
            "default": 5
          },
          "proxyConfiguration": {
            "title": "Proxy Configuration",
            "type": "object",
            "description": "Apify Proxy for all scraping operations. Residential proxies strongly recommended for best results and avoiding blocks."
          }
        }
      },
      "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
                  }
                }
              },
              "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
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

B2B Lead Scraper & Email Finder | Lead Generation OpenAPI definition

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 Lead Scraper & Email Finder - Decision Makers from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Lead Scraper & Email Finder - Decision Makers API in Python

Lead Scraper & Email Finder - Decision Makers API in JavaScript

Lead Scraper & Email Finder - Decision Makers API through CLI

Lead Scraper & Email Finder - Decision Makers API

B2B Lead Scraper - Emails, Phones & Contacts

logiover/b2b-lead-scraper

Scrape B2B emails, phones & decision-makers by sector + country. Apollo alternative, no login, export verified leads to CSV/JSON. Email-pattern finder.

Logiover

5.0

Lead List Enricher — Emails, Phones & Tech from a Domain API

nexgendata/lead-list-enricher

Enrich your lead lists with contact data from any website. Upload domains or company URLs and get emails, phone numbers, social media profiles, and tech stack. Free Clearbit & ZoomInfo alternative. Bulk domain enrichment for sales teams.

NexGenData

Email Verifier I Free To Use

fatihtahta/email-verifier-free-to-use

Clean your email lists with this fast, free email verifier and validator. This actor provides fast deliverability checks to slash bounce rates, protect your sender reputation, and improve marketing campaign performance.

Fatih Tahta

401

5.0

Import Export Trade Data Scraper - UN Comtrade

logiover/comtrade-trade-data-scraper

UN Comtrade API alternative. Scrape import/export trade statistics by country & HS code with no API key. Export bilateral trade flows to CSV/JSON.

Logiover

Bulk Email Verifier — MX, SMTP & Disposable Detection at Scale

ryanclinton/bulk-email-verifier

Verify email deliverability in bulk — MX records, live SMTP mailbox checks, disposable domain detection (55,000+ domains), role-based flagging, catch-all detection, and confidence scores. $0.005/email, no subscription.

Ryan Clinton

459

Company Contact Scraper | Lead Scraper (Apollo Alternative)

dxbear/company-contact-scraper

🚀 Scrape leads, prospect emails & uncover employee profiles from any company domain — names, positions, LinkedIn URLs, and public contact info delivered in seconds.

Dxbear

5.0

Europages Scraper

kawsar/europages-scraper

Europages Business Directory Scraper that extracts contact details, addresses, and business profiles from Europe's largest B2B marketplace by keyword, so you can build targeted prospect lists and find suppliers without manual research.

Kawsar

Email Finder & LinkedIn Scraper - B2B Lead Enrichment

inexhaustible_glass/linkedin-email-finder

Find business emails, phones, LinkedIn & enrich company data from any website. Get tech stack (40+ tools), WHOIS, SSL, MX records & lead quality score (A/B/C/D). Bulk processing. Perfect for B2B sales, cold outreach & CRM enrichment.

Hitman studio

221

5.0

Easy Bulk Email Validator - Verify Emails From $1/1000 Rows

xmiso_scrapers/easy-bulk-email-validator---verify-emails-from-1-7-1000-rows

Super easy real time email validator using MillionVerifier api. Check if your emails scraped from apollo.io or google maps are worth your email campaign efforts. No need to overpay posh services like NeverBounce, Zerobounce or Clearout.

Miso

1.2K

2.7

Neverbounce Email Validator📧 $1/1K Validation, Super cheap.

snipercoder/neverbounce-email-validator

| Input: Email | Output: Validity | Scrapes Neverbounce to verify emails. Forget $8/1k. and only pay $1/1K Emails validated. Save $7/1k Emails validated. Best for Email campaigns, Lead Verification, etc.