Hey, glad you liked my blog posts :)

I had to play around a little but you can get this data using the Facebook Graph API:

http://graph.facebook.com/Distilled

This gives you data like this:

{
"id": "7370493884",
"name": "Distilled",
"picture": "http://profile.ak.fbcdn.net/hprofile-ak-snc4/50503_7370493884_6856516_s.jpg",
"link": "https://www.facebook.com/Distilled",
"category": "Internet/software",
"likes": 468,
"website": "http://www.distilled.co.uk",
"username": "Distilled",
"founded": "2005",
"location": {
"street": "2nd Floor, 72 Cannon Street",
"city": "London",
"country": "United Kingdom",
"zip": "EC4N 6AE"
},
"public_transit": "London Cannon Street Train/Tube Station",
"phone": "020 7183 0767"
}
If you have a read of my SEOmoz post you should be able to pull that into Google Docs using a query like this:

function FBlikes(pagename) {
var jsondata = UrlFetchApp.fetch("http://graph.facebook.com/"+pagename);
var object = Utilities.jsonParse(jsondata.getContentText());
return object.likes;
}

Let me know if that doesn't work :)

Tom

Simplify360 provides a list of all fans who have interacted with your page. The interaction can be liking, sharing or commenting a post, or making own post.

You can not have the list of all fans (inactive fans). This is a SPAM control feature of Facebook.

Well, from my years experience as a data analyst, I used to scrape Facebook and do complete analysis of my results.

For scraping pages, you have many options:

If you are starting from scratch,

you can even collect potential pages by categories, countries and get the pages you want.

You can also scrape these pages to get all pages “ about “ data like ( id, name , likes count , followers count , long, lat , street address, city , stare , country , email , phone , website, description, working hours )

You can also scrape the page content ( posts and comments text )

You can also scrape posts analysis ( post link , number of comments, number of every reaction, number of shares,… etc )

During my journey in data analysis, I used to need all these data points above and after testing many service providers & softwares, I could only recommend “ mosha for marketing” to do all these tasks above. You could easily find them in YouTube.

I recently faced the challenge of trying to scrape member email addresses and phone numbers from a Facebook group for a specific marketing campaign. Initially, this seemed like a daunting task due to Facebook's strict privacy policies and the technical complexity involved in extracting such data. However, I found a solution in SuSocialPro, an all-in-one social media automation software powered by advanced AI.

One of the main challenges was managing multiple social media accounts and ensuring that my activities didn't violate Facebook's terms of service. SuSocialPro's multi-account management feature came in handy here, allowing me to control several accounts from a single dashboard without the need for constant logins and logouts. This feature, combined with the software's proxy manager, ensured that each account appeared independent, minimizing the risk of being flagged by Facebook.

SuSocialPro's content scraper was instrumental in automating the process of gathering data from various Facebook groups. Although direct scraping of personal information like emails and phone numbers is against Facebook's policies, the tool efficiently gathered publicly available data such as posts and user names. This data helped me engage with group members more effectively by understanding their interests and tailoring my marketing approach accordingly.

Another significant advantage was SuSocialPro's automated engagement tools. By automatically liking, commenting, and following other users' content, I could increase my account's visibility and engagement without manually interacting with each post or profile. This feature saved me a considerable amount of time and allowed me to focus on crafting personalized outreach strategies.

The software's post-scheduling capability was another lifesaver. Planning and organizing social media content in advance meant I didn't have to be constantly online, and my campaigns ran smoothly even outside of business hours. This was particularly useful for maintaining a consistent presence across different time zones.

Overall, SuSocialPro made the complex task of managing multiple social media accounts and gathering user data more manageable. Its advanced features, such as multi-level spin syntax and AI-generated content, ensured that my marketing efforts remained effective and compliant with platform policies.

If you're dealing with similar challenges, I highly recommend giving SuSocialPro a try. For more tips and insights, feel free to check out my Quora profile.

You can actually get the list of fans who have interacted with you. Interaction can be liking, commenting or sharing a post, or making the page posts.

Ref image below.

It's totally possible to track sources, but only in an anonymous fashion--eg, you can't track which particular fans were responsible for the growth.

Basic Facebook Insights gives you the ability to see where fans are coming from under Insights / Fans Details / Source

Alternatively, we've built both "new" and "removed" fan sources into the fan page analytics tool PageLever.com:

PageLever let's you see these stats for custom date ranges, eg if you notice in March that you had a surge in new fans back in November, then you can select "just show me new fan sources for the month of November."

The one flaw is that the largest source of is consistently "Other" - meaning that for one reason or another Facebook isn't sure where the fans came from. But the list of other fan sources is still useful to get a relative sense of where fans are coming from.

The most efficient method to extract data from Facebook using a web scraping program.

To utilize no-code solutions, you don't need to be a coder. Using a browser extension is one way to go, but if you want to scrape a lot of public data (such as pages or groups) from Facebook, there are more advanced choices available.

A great example is the Data Collector by Bright Data, which is a program that gathers data from the most popular eCommerce and social media platforms like Facebook. Octoparse & Phantombuster are two other suggested services.

After you've subscribed to the service, you'll have access to a variety of ready-made scraping templates, also known as "collectors," that are already pre-configured and proven successful in extracting data from Facebook. All you have to do now is fill out the following settings and press 'run' You can use these parameters:

• URLs for Facebook pages for which you want to collect data
• Define the output file type - XLSX, CSV etc.
• Choose the delivery method for the data - AWS, cloud, Google, webhook, etc
• Schedule when do you want the collector to run

I have been following a prevalent figure on Facebook for many years. He is also a writer, so last year he posted an article that was very interesting to me. I asked for more in his inbox. He said he has a book he wrote, and I would benefit from its content as that was drawn from there. But he further added by saying that the post he has been sharing on his page is more powerful than what would be in the book as the posts are his raw thoughts. So If I copied everything from the beginning, I would have more than what the book contained. So, I embarked n a way to do that, of course, copy and paste would be tedious and would take months to complete. I looked around for scraping services on Fiverr, but no one would offer the service the way I requested it. It seemed everyone was there was just offering contacts, email, and other related scraping services. Finally, I found a way by myself I scrapped all post from the begging of the page to the very latest. It is way exciting and beneficial. After that, I created a gig on Fiverr to offer this service as there was no one doing this. you can get the service here Fiverr(dot)com/chibusa or search for this exact phrase on Fiverr “scrap any facebook page content posts and comments for you” follow the service provided by chibusa.

Naturally, data scraping on Facebook is illegal, which is why it is important to get the necessary permission, before you do anything that is going to compromise you when it comes to litigation.

You need to make sure that your reason for data extraction is clearly defined, and you can work out the sources of data that you are wanting to scrape, the location of the data, and whether you want to be able to scrape the data for marketing purposes.

The thing about Facebook is that its official API has advanced bots that discourage data scraping and are designed to impose regulations.

This means that if you log in using your API key, it can easily block it. As a result, scraping tools are designed to extract information without having to log in.

1. Open the page, make sure you can see all the names.
2. Save the page. In Firefox I use the option - Saveas->Webpage complete
3. Now open the page in notepad or a better editor of even Microsoft Word
4. Search for the names

At this point you should realize that the names are on the page on your hard disk.
Now it gets a bit technical
I use Ruby and the wonderful gem Nokogiri
You could use grep
In both cases what you are looking for is a pattern.
I use the Firefox extension Firebug to look for patterns

See this pattern I copied from Facebook:

<a data-hovercard="/ajax/hovercard/user.php?id=100001434893048&amp;extragetparams=%7B%22fref%22%3A%22nf%22%7D" href="https://www.facebook.com/Narendra.Modi.7737?fref=nf" aria-owns="js_1" aria-haspopup="true" id="js_2">Narendra Modi</a>

I am not going to explain in detail how to extract the user name. Let me know if you want me to.

I had written a blogpost http://www.revelutions.com/counterfactuals/start-curating-with-scraperwiki/ on how you can start scraping (This is not scraping Facebook).

Customer support is one of the most important parts of your business but also one of the trickiest things to manage when you're a small team. Let's check out how we can expedite this angle of Facebook marketing with some automation!

FL_Facebook is a comprehensive marketing platform designed to automate and optimize customer interactions. For marketers, it's especially useful for Facebook automation, making it easier than ever to engage with customers at scale.

With this automation tool, you can provide instant responses to customer inquiries at any time, significantly improving your customer service experience and increasing customer satisfaction. The platform can automatically answer commonly asked questions, freeing up your team to focus on more complex inquiries that require a human touch.

It also uses customer data to provide personalized product recommendations and marketing messages, helping to increase conversion rates and drive sales.

Craig, thanks for the clarifying comment. Given that, here are my suggestions:

1. Be frank
2. Be open rather than vague about why you're wanting to do this segmenting.
3. Express the benefits for both you and others
   You can use your usual self-deprecating humor :), e.g., "I want to share big, important things -- things bigger than myself! -- on my new 'fan' [ugh!] page, such as [short example]. And I want to share what I had for lunch with my close friends-in-real-life. Okay, and some more-personal stuff, too, to be honest. So if we don't know each other in real life, I'd really appreciate you un-friending me here and signing up for my fan page here [link]. Thanks!"
4. Initially post this on your wall, then a week later, send a similar message to all your friends (if FB lets you do this).
5. After that, mercilessly un-friend as appropriate.
   It may seem harsh or rude, but look, this is your friends page, it's your life, and if someone can't respect your polite requests, then they're not really your friend anyway ;).

1) Impressions measures how often a status update is rendered in the browser--whether in the newsfeed of a fan or on the wall tab of page.

In general, across BrandGlue.com clients (25 million fans across our client pages), impressions are 10x-30x of pageviews. The larger the fan page, the higher this multiple.

2) You can totally break the pageviews into "from fans" and "from visitors (non-fans)". Basic Facebook Insights gives this to you, or you can get some more detailed analysis using a fan page analytics tool like PageLever.com that gives stats on private, admin-only data.

You have to make a few assumptions to perform the calculation, but I estimate that between 88%-96% of fans never revisit a fan page unless they see a status update from the page or click an ad.

To scrape more than one page using ScraperAPI, you can make multiple API requests, each targeting a different page. Here's a general approach to scrape multiple pages using ScraperAPI:

Set up your ScraperAPI account: Sign up for a ScraperAPI account at ScraperAPI - The Proxy API For Web Scraping if you haven't already done so. You'll receive an API key that you'll use for authentication in your requests.

Construct the API request URL: Use the base API URL (Scraper API) and append your API key as a query parameter. For example:

ruby

Copy code

Specify the target page: Append the target URL you want to scrape as another query parameter. For example:

ruby

Copy code

Make the API request: Send an HTTP GET request to the constructed URL using your preferred programming language or tool. The response will contain the scraped data from the specified page.

Repeat for additional pages: Repeat steps 3 and 4 for each page you want to scrape. Modify the url query parameter in each request to target the desired page.

Here's an example using Python and the requests library to scrape two pages using ScraperAPI:

python

Copy code

import requests

api_key = "YOUR_API_KEY"

base_url = "http://api.scraperapi.com/"

# Scrape first page

page1_url = "https://example.com/page1"

request_url1 = f"{base_url}?api_key={api_key}&url={page1_url}"

response1 = requests.get(request_url1)

data1 = response1.text

# Process the scraped data from page 1

# Scrape second page

page2_url = "https://example.com/page2"

request_url2 = f"{base_url}?api_key={api_key}&url={page2_url}"

response2 = requests.get(request_url2)

data2 = response2.text

# Process the scraped data from page 2

Remember to replace 'YOUR_API_KEY' with your actual ScraperAPI API key, and adjust the URLs (page1_url and page2_url) according to your target pages.

By making separate requests for each page, you can scrape multiple pages using ScraperAPI.

If you aren’t someone who has enough coding experience to develop your own Facebook scraper then we suggest that you try out one that has already been created.

WBB FBTasker is not cloud-based software or something that you download and install onto your desktop. It is a scraping API.

This means that you can incorporate it into your code and use the scraped data straight away. This type of company is definitely built for developers, and its pricing begins at just $29 a month.

Don’t forget that people who join by clicking this link will have double free trials. That means, for example, 2000 free requests on the Crawling API instead of 1000, etc.

There are numerous tools available for scraping content from public Facebook pages. You have the option to manually perform the scraping (Manual tools for scraping Facebook public pages involve doing the task yourself without relying on automated software. Essentially, this means personally navigating through Facebook pages, copying information, and pasting it elsewhere. It requires hands-on effort and doesn't involve using specialized programs or scripts to automate the process.) or utilize dedicated tools such as Crawlbase. This tool proves particularly useful in handling Captchas, especially when operating at a large scale.