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Contact Info Scraper

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Extract emails, phone numbers, and social media links from any website. Supports 14 platforms including Facebook, Instagram, LinkedIn, Twitter/X, YouTube, TikTok, WhatsApp, and more. Powerful extraction, simple setup — just enter a URL and go.

Pricing

from $8.00 / 1,000 results

Rating

5.0

(29)

Developer

ВAH

Actor stats

Bookmarked

534

Total users

Monthly active users

8 days ago

Last modified

Categories

Lead generation

Social media

You can access the Contact Info 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 Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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  "components": {
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        "properties": {
          "Urls": {
            "title": "Target URLs",
            "uniqueItems": false,
            "type": "array",
            "description": "List of URLs to start scraping for contact information. Any website URL can be provided here.",
            "default": [
              "https://wikimediafoundation.org/contact"
            ],
            "items": {
              "type": "string"
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          },
          "Depth": {
            "title": "Depth",
            "minimum": 0,
            "maximum": 100,
            "type": "integer",
            "description": "The scraping depth from the initial URL. Set to 0 to only scrape the starting URL.",
            "default": 5
          },
          "Total_num": {
            "title": "Total Results",
            "minimum": 1,
            "maximum": 10000,
            "type": "integer",
            "description": "The maximum number of page results to collect during the entire Actor run. The last record in the dataset is always a deduplicated summary of all collected data.",
            "default": 50
          },
          "Lock_domain": {
            "title": "Lock Domain",
            "type": "boolean",
            "description": "If set to true, only collects contact information from URLs within the same domain as the starting URL.",
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          },
          "Concurrency": {
            "title": "Concurrency",
            "minimum": 1,
            "maximum": 10,
            "type": "integer",
            "description": "Number of browser instances to run in parallel. Higher values speed up scraping but use more memory and CPU.",
            "default": 5
          },
          "Max_urls_per_depth": {
            "title": "Max URLs Per Depth",
            "minimum": 1,
            "maximum": 10000,
            "type": "integer",
            "description": "Maximum number of URLs to process at each depth level. If a depth level has more URLs than this limit, only the first N will be processed.",
            "default": 200
          },
          "url_include_patterns": {
            "title": "URL Include Patterns",
            "type": "array",
            "description": "Only crawl URLs whose path contains at least one of these keywords. Leave empty to crawl all URLs. Example: [\"/contact\", \"/about\", \"/team\"]",
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            "items": {
              "type": "string"
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          },
          "url_exclude_patterns": {
            "title": "URL Exclude Patterns",
            "type": "array",
            "description": "Skip URLs whose path contains any of these keywords. Example: [\"/blog\", \"/news\", \"/cart\", \"/login\"]",
            "default": [],
            "items": {
              "type": "string"
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                "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",
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                    "type": "integer",
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Contact Info 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 Contact Info 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:

Contact Info Scraper API in Python

Contact Info Scraper API in JavaScript

Contact Info Scraper API through CLI

Contact Info Scraper API

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