Pricing

$20.00/month + usage

Go to Store

Search Results Email & Contact Info Scraper

Try for free

Developed by

Jamshaid Arif

Easily gather contact information with this friendly Apify actor! Simply enter your search queries, and it will automatically extract email addresses and details from business listings, personal websites, and other public sources. It's like having a personal assistant for all your needs!.

0.0 (0)

Pricing

$20.00/month + usage

Total users

Monthly users

Runs succeeded

Last modified

4 days ago

Lead generation

SEO tools

Social media

Pricing

Pricing model

Rental

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. See our subscription plans.

Free trial

2 hours

Monthly price

$20.00

Contact Info Scraper -Extract Business Contact Information

dainty_screw/contact-info-scraper--extract-business-contact-information

Looking to gather business contact information fast? Our Business Contact Info Scraper extracts emails, phone numbers, and social profiles like Facebook, Twitter, LinkedIn, and Instagram from websites at scale. Get accurate contact details quickly and efficiently with this powerful tool.

codemaster devops

520

5.0

CSLB (Contractors State License Board) Scraper

moving_beacon-owner1/contractors-state-license-board-cslb-scraper

Scrape licensed contractor information from the California Contractors State License Board (CSLB) website using ZIP code(s).

Jamshaid Arif

Email and Contact Us Page Scraper

moving_beacon-owner1/my-actor-12

This advanced email scraper crawls websites to identify and extract valid email addresses while filtering out unwanted ones. It gathers emails from both main pages and contact pages for effective outreach and analysis.

Jamshaid Arif

Contact Details Scraper

vdrmota/contact-info-scraper

Free email extractor and lead scraper to extract and download emails, phone numbers, Facebook, Twitter, LinkedIn, and Instagram profiles from any website. Extract contact information at scale from lists of URLs and download the data as Excel, CSV, JSON, HTML, and XML.

Vojta Drmota

32K

4.0

📧✨ Extract Emails From Any Website

logical_scrapers/extract-email-from-any-website

(fastest) An advanced Actor for extracting email addresses from websites. This tool is perfect for web scraping, contact collection, and lead generation.

Goldmine

269

5.0

Email ✉️ & Phone ☎️ Extractor

anchor/email-phone-extractor

Extract emails, phone numbers, and other contact information like Twitter, LinkedIn, Instagram... from websites you provide. Best for lead generation and data enrichment. Export data in structured formats and dominate your outreach game. Capture your leads almost for free, fast, and without limits.

Anchor

6.6K

1.0

4imprint Scraper

dtrungtin/4imprint-scraper

4imprint Scraper extracts all and any items from any category page on 4imprint or by the specific keyword, provided you copy&paste the search URL.

Tin

Youtube Comments Scraper (Fast and cheap) 💬 - Rental

scrapestorm/youtube-comments-scraper-fast-and-cheap---rental

Quickly gather complete YouTube comments with this tool! 🚀 Simply drop in video URLs, max comments & receive all the data in a neat JSON format 📊, including comment content 💬, like counts 👍, and commenter details 🧑‍. It’s like having a personal assistant to fetch YouTube data for analysis! 💻

Storm_Scraper

Imprint Contact Scraper

azquaier/imprint-contact-scraper

An Actor that automatically locates and scrapes key contact details from German website imprint pages (Impressum). It extracts information such as company name, address, phone numbers, emails, and decision-maker details.

Azquaier

Google My Business Scraper

moving_beacon-owner1/my-actor-20

This Python script automates data scraping from Google My Business. It collects essential information like business name, website, phone number, address, ratings, and photos, saving the data in Excel format and uploading it to an Apify dataset.

Jamshaid Arif