Social & Email Scraper (rental version)

Social & Email Scraper (rental version)

Empower your data quest! The Social & Email Scraper Apify Actor: your precision-driven solution for effortlessly extracting vital contact details from any webpage. Elevate outreach strategies with ease and conquer web data intricacies.

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Social & Email Scraper Apify Actor

Meet the Social & Email Scraper Apify Actor! 🚀 It's the ultimate powerhouse in web data extraction, tailored for digital marketers, researchers, and data enthusiasts alike. Imagine effortlessly extracting valuable email addresses and social media links with precision from any webpage you desire. This robust tool is your secret weapon, meticulously scouring URLs to unveil critical contact information. Revolutionize your outreach strategies and forge connections seamlessly. Elevate your data game and conquer the web with ease!

What is Social & Email Scraper ?

Social & Email Scraper is a tool that scrape social media links (such as facebook, linkedin, facebook, instagram, tiktok and twitter) and emails from inputted list of website.

🌟 Explore Our Stellar Features:

  • Regex Magic: Effortlessly handle regex patterns for precise extractions.
  • Top Sites Covered: Facebook, TikTok, Instagram, LinkedIn, Twitter, and more!
  • Email Mastery: Seamlessly extract valuable email addresses.
  • Phone Number Precision: Extract phone numbers with ease and accuracy.
  • Duplicate Filter: Ensures uniqueness by filtering out duplicates.
  • URL Validation: Checks and verifies the validity of URLs before adding them.

🔍 What is regex ?

Regex, a Python library, unlocks the power of precision by capturing specific expressions through patterns. Dive deeper into URLs by customizing your search with personalized regex patterns. Let the actor extract precisely what you seek from your inputted expressions. Explore the realms of specificity and harness the magic of Regex for tailored extractions! 🌟

🧩 How do I make a pattern ?

Utilize sophisticated tools like ChatGPT to generate a regex pattern. For example, let's make a pattern for identifying YouTube channel links. Craft a prompt without the use of quotation marks, directing to 'create a regex pattern to find YouTube channel links.'. The pattern should look like this : https://www.youtube.com/channel/[a-zA-Z0-9_-]+. Not this : "https://www.youtube.com/channel/[a-zA-Z0-9_-]+".

How to use

Input your urls separated with a comma or a whiteline(doesn't matter if it's separated by a comma or whiteline) (no limit) and input your regex pattern if you have one (no limit awswell)

📄 Input sample (json)

1{
2    "pattern": [
3        "\\bcontact(?:\\s+us)?\\b",
4        "\\bhome\\b"
5    ],
6    "urls": "https://generalsf.com/, https://edenavowconstruction.com/, https://prosperdevelopment.com/, missionhomeremodeling.com https://www.leefamilycorp.com/."
7}

Here's a visual representation for the urls: input and the patterns : pattern In this scenario, the pattern is designed to identify and save instances of 'contact-us' or 'home'. These patterns are used for testing purposes.

📤 Output (json)

1[
2  {
3    "url": "https://generalsf.com/",
4    "emails": [
5      "info@generalsf.com"
6    ],
7    "facebook": "https://facebook.com/Generalsf",
8    "instagram": "",
9    "tiktok": "",
10    "twitter": "",
11    "linkedin": "",
12    "phone": [
13      "tel:+16503031515"
14    ],
15    "pattern_1": [
16      "contact"
17    ]
18  },
19  {
20    "url": "https://edenavowconstruction.com/",
21    "emails": [
22      "ciarandowler@edenavow.com"
23    ],
24    "facebook": "https://facebook.com/2008",
25    "instagram": "",
26    "tiktok": "",
27    "twitter": "",
28    "linkedin": "",
29    "phone": ""
30  },
31  {
32    "url": "https://prosperdevelopment.com/",
33    "emails": [
34      "prosper@prosperdevelopment.com",
35      "binatdigital@gmail.com"
36    ],
37    "facebook": "",
38    "instagram": "",
39    "tiktok": "",
40    "twitter": "",
41    "linkedin": "",
42    "phone": "",
43    "pattern_1": [
44      "contact"
45    ],
46    "pattern_2": [
47      "home"
48    ]
49  },
50  {
51    "url": "https://missionhomeremodeling.com",
52    "emails": [
53      "info@missionhomeremodeling.com"
54    ],
55    "facebook": "",
56    "instagram": "",
57    "tiktok": "",
58    "twitter": "",
59    "linkedin": "",
60    "phone": "",
61    "pattern_1": [
62      "contact"
63    ],
64    "pattern_2": [
65      "home"
66    ]
67  },
68  {
69    "url": "https://www.leefamilycorp.com/",
70    "emails": [
71      "leefamilycorp@gmail.com"
72    ],
73    "facebook": "https://facebook.com/2008",
74    "instagram": "",
75    "tiktok": "",
76    "twitter": "",
77    "linkedin": "",
78    "phone": "",
79    "pattern_2": [
80      "home"
81    ]
82  }
83]

When 'pattern_1' and 'pattern_2' are absent, it indicates that the pattern instances have not been matched.

📞 Contact me

If you need to reach out, feel free to contact me via:

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!