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Apollo People Leads Scraper

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This API can scrape structured people data from Apollo.io. This scraper do NOT provide email addresses or telephone numbers. It does not require Apollo account cookies or authentication.

Pricing

from $3.00 / 1,000 results

Rating

0.0

(0)

Developer

Coladeu

Actor stats

Bookmarked

2.8K

Total users

174

Monthly active users

18 days

Issues response

9 hours ago

Last modified

Categories

Lead generation

Automation

Jobs

You can access the Apollo People Leads Scraper 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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  "components": {
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        "required": [
          "number_of_pages_to_scrape"
        ],
        "properties": {
          "apollo_url": {
            "title": "Apollo URL (Optional)",
            "type": "string",
            "description": "Full Apollo URL with filters. E.g. https://app.apollo.io/#/people?page=1. When provided, overrides all other filter parameters."
          },
          "q_keywords": {
            "title": "Person Name",
            "type": "string",
            "description": "A string of words over which we want to filter the results. Usually a person's First Name and Last Name."
          },
          "page": {
            "title": "Page",
            "minimum": 1,
            "type": "integer",
            "description": "Starting page number for scraping. If apollo_url is provided and this field is not set, the page number will be automatically extracted from the apollo_url query parameters. If both are provided, this explicit Page value will override the page number from apollo_url. Defaults to 1 if neither is provided.",
            "default": 1
          },
          "number_of_pages_to_scrape": {
            "title": "Number of Pages to Scrape",
            "minimum": 1,
            "maximum": 100,
            "type": "integer",
            "description": "Number of pages to scrape sequentially. The scraper will start from the determined starting page (from Page field or extracted from apollo_url), then increment the page number by 1 for each subsequent request. Between each page request, there will be a random delay of 10-15 seconds. Scraping will stop when: (1) the specified number of pages have been scraped, (2) page 100 is reached (maximum limit), (3) current page exceeds total_pages from API, or (4) a page returns no people. All people from all scraped pages will be collected and saved together.",
            "default": 1
          },
          "contact_email_status_v2": {
            "title": "Email Status",
            "type": "array",
            "description": "Select one or more email statuses.",
            "items": {
              "type": "string",
              "enum": [
                "verified",
                "unverified",
                "user_managed",
                "new_data_available",
                "unavailable"
              ]
            }
          },
          "person_titles": {
            "title": "Person Titles",
            "type": "array",
            "description": "Enter one or more job titles held by the people you want to find. For a person to be included in search results, they only need to match 1 of the job titles you enter. Examples: software engineer, manager, director, sales manager, project manager, ceo, consultant.",
            "items": {
              "type": "string"
            }
          },
          "person_not_titles": {
            "title": "Exclude Person Titles",
            "type": "array",
            "description": "Enter one or more job titles to exclude from search results. Examples: intern, student, assistant, associate.",
            "items": {
              "type": "string"
            }
          },
          "person_past_titles": {
            "title": "Past Person Titles",
            "type": "array",
            "description": "Enter one or more past job titles. Examples: developer, analyst, coordinator, specialist.",
            "items": {
              "type": "string"
            }
          },
          "person_not_past_titles": {
            "title": "Exclude Past Person Titles",
            "type": "array",
            "description": "Enter one or more past job titles to exclude. Examples: freelancer, contractor, consultant.",
            "items": {
              "type": "string"
            }
          },
          "include_similar_titles": {
            "title": "Include Similar Titles",
            "type": "boolean",
            "description": "Whether to include people with job titles similar to the titles you define in person_titles.",
            "default": false
          },
          "person_seniorities": {
            "title": "Management Level",
            "type": "array",
            "description": "Select one or more seniority levels.",
            "items": {
              "type": "string",
              "enum": [
                "owner",
                "founder",
                "c_suite",
                "partner",
                "vp",
                "head",
                "director",
                "manager",
                "senior",
                "entry",
                "intern"
              ]
            }
          },
          "person_department_or_subdepartments": {
            "title": "Department",
            "type": "array",
            "description": "Select one or more departments or subdepartments.",
            "items": {
              "type": "string",
              "enum": [
                "finance_executive",
                "founder",
                "human_resources_executive",
                "information_technology_executive",
                "legal_executive",
                "marketing_executive",
                "medical_health_executive",
                "operations_executive",
                "sales_executive",
                "product_management",
                "master_engineering_technical",
                "design",
                "education",
                "master_finance",
                "master_human_resources",
                "master_information_technology",
                "master_legal",
                "master_marketing",
                "medical_health",
                "master_operations",
                "master_sales",
                "consulting"
              ]
            }
          },
          "person_locations": {
            "title": "Person Locations",
            "type": "array",
            "description": "Enter locations where people live. You can specify country name, country/state, country/city, or just state or city name. Choose between this input and person_postal_codes. Examples: United States, United States/New York, California, Chicago.",
            "items": {
              "type": "string"
            }
          },
          "person_not_locations": {
            "title": "Exclude Person Locations",
            "type": "array",
            "description": "Enter locations to exclude from search results. You can specify country name, country/state, country/city, or just state or city name. Examples: Canada, United Kingdom/London, Texas.",
            "items": {
              "type": "string"
            }
          },
          "person_postal_codes": {
            "title": "Person Postal Codes",
            "type": "array",
            "description": "Enter postal codes. Works in combination with person_postal_codes_radius. Examples: 784832, 389232, 10001.",
            "items": {
              "type": "string"
            }
          },
          "person_postal_codes_radius": {
            "title": "Postal Codes Radius (Miles)",
            "enum": [
              "25",
              "50",
              "100",
              "300"
            ],
            "type": "string",
            "description": "Select radius in miles for postal code filtering. Must be used with person_postal_codes."
          },
          "organization_locations": {
            "title": "Organization Locations",
            "type": "array",
            "description": "Enter locations for the headquarters of people's current employers. You can specify country name, country/state, country/city, or just state or city name. Examples: United States, United States/California, San Francisco, Germany/Berlin.",
            "items": {
              "type": "string"
            }
          },
          "organization_num_employees_ranges": {
            "title": "Employee Ranges",
            "type": "array",
            "description": "Select one or more employee count ranges for the person's current company. 10001 represents 10,000+ employees.",
            "items": {
              "type": "string",
              "enum": [
                "1-10",
                "1-20",
                "21-50",
                "51-100",
                "101-200",
                "201-500",
                "501-1000",
                "1001-2000",
                "2001-5000",
                "5001-10000",
                "10001"
              ]
            }
          },
          "organization_ids": {
            "title": "Organization IDs",
            "type": "array",
            "description": "Enter Apollo IDs for the companies (employers) you want to include in your search results. Examples: 5e66b6381e05b4008c8331b8, 5f1234567890abcd12345678.",
            "items": {
              "type": "string"
            }
          },
          "not_organization_ids": {
            "title": "Exclude Organization IDs",
            "type": "array",
            "description": "Enter Apollo IDs for companies (employers) you want to exclude from search results.",
            "items": {
              "type": "string"
            }
          },
          "person_past_organization_ids": {
            "title": "Past Organization IDs",
            "type": "array",
            "description": "Enter Apollo IDs for previous employers.",
            "items": {
              "type": "string"
            }
          },
          "person_not_past_organization_ids": {
            "title": "Exclude Past Organization IDs",
            "type": "array",
            "description": "Enter Apollo IDs for previous employers to exclude.",
            "items": {
              "type": "string"
            }
          },
          "q_organization_keyword_tags": {
            "title": "Company Keywords",
            "type": "array",
            "description": "Enter company keywords to filter results. Examples: saas, e-commerce, fintech, healthcare, artificial intelligence, b2b, enterprise software, marketing automation, cybersecurity, cloud computing.",
            "items": {
              "type": "string"
            }
          },
          "q_not_organization_keyword_tags": {
            "title": "Exclude Company Keywords",
            "type": "array",
            "description": "Enter company keywords to exclude from results. Examples: non-profit, retail, consulting, recruiting, education, real estate.",
            "items": {
              "type": "string"
            }
          },
          "revenue_range_min": {
            "title": "Revenue Range (Min)",
            "type": "number",
            "description": "Minimum revenue the person's current employer generates."
          },
          "revenue_range_max": {
            "title": "Revenue Range (Max)",
            "type": "number",
            "description": "Maximum revenue the person's current employer generates."
          },
          "currently_using_all_of_technology_uids": {
            "title": "Technologies (All Of)",
            "type": "array",
            "description": "Enter technology UIDs that the person's current employer uses ALL of. Use underscores (_) to replace spaces and periods. Examples: salesforce, google_analytics, wordpress_org.",
            "items": {
              "type": "string"
            }
          },
          "currently_using_any_of_technology_uids": {
            "title": "Technologies (Any Of)",
            "type": "array",
            "description": "Enter technology UIDs that the person's current employer uses ANY of. Examples: salesforce, google_analytics, wordpress_org.",
            "items": {
              "type": "string"
            }
          },
          "currently_not_using_any_of_technology_uids": {
            "title": "Exclude Technologies",
            "type": "array",
            "description": "Enter technology UIDs to exclude people whose current employer uses. Use underscores (_) to replace spaces and periods. Examples: salesforce, google_analytics, wordpress_org.",
            "items": {
              "type": "string"
            }
          },
          "market_segments": {
            "title": "Market Segments",
            "type": "array",
            "description": "Select one or more market segments.",
            "items": {
              "type": "string",
              "enum": [
                "b2b",
                "b2c",
                "b2b2c",
                "e-commerce",
                "fintech",
                "d2c",
                "non-profit",
                "saas",
                "consulting",
                "services"
              ]
            }
          },
          "q_organization_job_titles": {
            "title": "Organization Job Titles",
            "type": "array",
            "description": "Enter job titles in active job postings at the person's current employer. Examples: sales manager, research analyst, software engineer.",
            "items": {
              "type": "string"
            }
          },
          "organization_job_locations": {
            "title": "Organization Job Locations",
            "type": "array",
            "description": "Enter locations of jobs being actively recruited by the person's employer. Examples: atlanta, japan, new york, california.",
            "items": {
              "type": "string"
            }
          },
          "organization_num_jobs_range_min": {
            "title": "Number of Jobs (Min)",
            "minimum": 0,
            "type": "integer",
            "description": "Minimum number of active job postings at the person's current employer."
          },
          "organization_num_jobs_range_max": {
            "title": "Number of Jobs (Max)",
            "minimum": 0,
            "type": "integer",
            "description": "Maximum number of active job postings at the person's current employer."
          },
          "organization_job_posted_at_range_min": {
            "title": "Job Posted Date (From)",
            "type": "string",
            "description": "Earliest date when jobs were posted by the person's current employer (YYYY-MM-DD)."
          },
          "organization_job_posted_at_range_max": {
            "title": "Job Posted Date (To)",
            "type": "string",
            "description": "Latest date when jobs were posted by the person's current employer (YYYY-MM-DD)."
          },
          "contact_email_opened_at_least": {
            "title": "Email Opened At Least",
            "minimum": 0,
            "type": "integer",
            "description": "Minimum number of times email was opened."
          },
          "contact_email_open": {
            "title": "Email Open Status",
            "enum": [
              "yes",
              "no"
            ],
            "type": "string",
            "description": "Email open status: yes or no"
          },
          "email_last_opened_at_date_range_min": {
            "title": "Email Last Opened (From)",
            "type": "string",
            "description": "Earliest date when email was last opened (YYYY-MM-DD)."
          },
          "email_last_opened_at_date_range_max": {
            "title": "Email Last Opened (To)",
            "type": "string",
            "description": "Latest date when email was last opened (YYYY-MM-DD)."
          },
          "lookalike_person_ids": {
            "title": "Lookalike Person IDs",
            "type": "array",
            "description": "Enter Apollo person IDs to find similar people.",
            "items": {
              "type": "string"
            }
          },
          "lookalike_organization_ids": {
            "title": "Lookalike Organization IDs",
            "type": "array",
            "description": "Enter Apollo organization IDs to find people from similar organizations.",
            "items": {
              "type": "string"
            }
          },
          "person_education_school_ids": {
            "title": "Education School IDs",
            "type": "array",
            "description": "Enter school IDs for people's education.",
            "items": {
              "type": "string"
            }
          }
        }
      },
      "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",
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              "containerUrl": {
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              "usage": {
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                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
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                  },
                  "DATASET_READS": {
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                  },
                  "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": {
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                    "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
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Apollo People Leads Scraper 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 Apollo People Leads Scraper 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:

Apollo People Leads Scraper API in Python

Apollo People Leads Scraper API in JavaScript

Apollo People Leads Scraper API through CLI

Apollo People Leads Scraper API

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🎉 Leads Scraper ✅ $0.8/1k Leads ✅ 250M+ Database ✅ Like Apollo

pipelinelabs/lead-scraper-apollo-zoominfo-lusha

Find Leads With Emails, LinkedIn URL, Phone Numbers, & More! Similar to Apollo, ZoomInfo, Lusha. 250+ Million Verified Database!

Pipeline Labs

10K

3.7

(89)

B2B 🟢 Leads Finder [NO COOKIES] - like apollo, linkedIn

olympus/b2b-leads-finder

✅ Extract premium leads from your favorite b2b platform ✅ Work & Personal Emails ✅ 📞 Phone

Olympus

4.6K

4.6

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🎉 Leads Finder ✅ $1.50/1k with Emails ✅ Apollo Alternative

pipelinelabs/leads-finder-with-emails-apollo-lusha-zoominfo

Find verified B2B leads with emails, LinkedIn URLs & phone numbers. 250M+ contact database with 100% email coverage. Apollo, Zoominfo & Lusha alternative. Up to 50,000 leads per run.

Pipeline Labs

4.7K

3.9

(13)

Podcast Host Lead Scraper

scrapemint/podcast-host-leads

Search the podcast directory by keyword and turn shows into B2B leads: the host's public email, show name, author, website, category, episode count, and last-episode date. One lead per podcast. Keyless, no API key.

Ken M

🍏 Leads Finder - Email 📧 + Mobile Number 📞

microworlds/leads-finder

✅ Cheap alternative to Apollo, ZoomInfo & Lusha. ✅ Get business emails, LinkedIn profiles, company details etc.. With verified email 📧 and mobile number 📞

Caleb David

22K

2.6

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LinkedIn People Profile Search Cookie-less 🍪 ✅

datamagnet/linkedin-people-profile-search-cookie-less

Search for people profiles by keyword and optional filters like company, title, school, and location. Get a clean list of matching profiles with key public details in one place.

Datamagnet

810

VK People Scraper

easyapi/vk-people-scraper

Scrape VK.com user profiles based on search keywords. Extract detailed user information including usernames, profile URLs, locations, and avatar images. Perfect for lead generation, market research, and social media analysis.