How to scrape Facebook group members and enrich them with LinkedIn profiles

To export Facebook group members to CSV, open a group you can access, run the open-source browser script before opening its People tab, scroll to load profiles, then use Download X members. The export contains the members the script observed while you browsed; it is not a guaranteed list of every group member.

If you want to build a prospect list from that CSV, check the profiles and enrich the relevant names with LinkedIn URLs in Datablist before contacting anyone.

A group membership does not establish that someone fits your target customer. Treat the CSV as a research list: review roles and company clues before spending credits on enrichment. An empty bio means you lack information, not that the person is an unsuitable prospect.

Facebook groups are powerful but group members need to be filtered. Here is my advice: Facebook group members must be a source to find relevant people to contact, but you must not mass mail the entire group! The challenge is to enrich your Facebook leads, segment them, and then contact the relevant prospects.

Facebook is a personal social network and personal data is protected. Some email-finding tools offer to find an email from a Facebook profile but I've found the result to be disappointing. It is easier to use information from the Facebook profile to find LinkedIn profiles. LinkedIn is great for cold messaging and because it's a business social network, lookup services to get email addresses from LinkedIn profiles work great.

Using this step by step guide, you will learn:

• How to export Facebook group members into a CSV file
• How to enrich members with their LinkedIn profile URL
• How to scrape data from the LinkedIn Profiles
• How to find email addresses
• How to keep your exports up to date with new group members
• How to use a Chrome Extension to access the script quickly

Step 1: Extracting leads from Facebook Group members

Facebook is a personal network and doesn't have built-in group members export. You need a third-party tool to export your group members.

Two options:

• Use cloud extraction services like Phantombuster that run scripts on their servers using your Facebook credentials.
• Use scripts or extensions inside your web browser to scrape data when you browse Facebook.

This script observes member data loaded as you browse the group's People tab. The profiles available there depend on your access to the group and what Facebook loads in your browser.

Facebook fights scraping and has protection to detect automatic scrapers. To avoid being blocked, you need to use a proxy with cloud extraction services. Still, Facebook keeps improving its protection; so be careful with automatic scraping.

In this guide, I show you how to use a web browser script to scrape data as you browse the "People" tab.

Notes
To extract data, the "People" tab must be accessible on the group page. So, the group must be public or you must be a member for private groups.

Export Facebook group members into a CSV file

To extract Facebook group members, just copy-paste the following script into Chrome Developer Console.

Notes
The source code for the Facebook group scraper is available on Github. The script reads API calls done when loading members on the web page to extract members' data.

⚠️ Review the script before running it. Browser developer tools may warn you against pasting code. Use the source repository to inspect what the script does and run it only if you trust it.

Scrape Facebook group members profiles

Press 'Enter' with your keyboard to run the script. A button with the text "Download X members" appears in the bottom right on the page.

You can close the Developer Console, your script is active 👍

On the newer versions, the leads scrapped are stored in a cache in your browser. With this cache, the data is persisted in case your browser crashes. When you refresh the page and paste the script later, the previously scrapped data will be restored. A "Reset" button is available to clear this cache and start with an empty list.

Then, go to the "People" tab from the group page. Facebook displays a list of new members with automatic loading on scroll. Scroll down to load new members.

As you scroll, the script catches Facebook API calls and stores the data. The data is stored in a cache when possible.

Export Facebook members

Click on the "Download x members" button to export the members into a CSV file.

The CSV contains 8 columns:

• Profile Id: Unique facebook identifier. Multi-digit number.
• Full Name: First name and last name concatenated.
• Profile Link: Profile URI in the format https://www.facebook.com/{{username}}. When not available, default to generic URI https://www.facebook.com/profile.php?id={{profile_id}}
• Bio: Member bio text. Can be a job title, a school name, a city, or it can be empty.
• Image Src: Profile picture URL.
• Group Id: Facebook group identifier. Multi-digit number.
• Group Joining Text: Relative time since user join the group. In the format: "Member since XX".
• Profile Type: Facebook profile type. Can be "User" or "Page".

Notes
To stop scraping members and to remove the button, just reload the web page.

Reset the cache to start anew

The member list is stored in a cache until you click on the "Reset" button. You can scrape multiple Facebook groups in a row and segment later using the Group Id field.

Or if you prefer to have a new CSV for each group, click on the "Reset" button before clicking on the "People/Members" tab.

FAQ

How many members can I extract?

The CSV contains profiles loaded while the script is active and you scroll the People tab. The number available can change with the group, your access, and Facebook's interface. Compare the download count with the members you loaded and merge later exports if you revisit the group.

How long does it take to scrape group members?

The time depends on how many profiles the page loads as you scroll. Watch the Download X members counter; stop when you have the profiles you need or the page no longer loads more.

The counter doesn't increase when I scroll

The Facebook Group scraper auto discards duplicate members. If a member has been scraped, it won't be added a second time. When you initialize the script, previously scraped members are loaded from the cache. If you scrape a previously scraped group, or if you scrape a new group with members from previous groups, only the new profiles will be added.

Can my account be blocked by Facebook?

No extraction method guarantees that a Facebook account will remain unrestricted. Review Facebook's terms and your permission to access the group before collecting member data, and use the export only for purposes you are allowed to pursue.

Step 2: Find LinkedIn profiles

Do you have a CSV file with a lot of prospects? Great! Now it's time to turn it into a leads database!

Cold messaging on Facebook is spam. Facebook is a social network. I don't want to get business inquiries, and neither do your prospects.

With a prospect name and a company name (or domain), you can search for a LinkedIn profile which can be used for LinkedIn messaging or to get a business email address.

In this guide, you will learn how to enrich your Facebook prospects with their LinkedIn Profile URL using Datablist LinkedIn Profile Finder from name. This enrichment performs a Google search using the prospect's name to find a LinkedIn profile.

Create a Datablist collection and import your CSV file

Datablist is perfect to view and edit CSV files and to run actions on your data. In this guide, I'll show you how to use the "LinkedIn Profile Finder" action on your prospects. It takes a name and a keyword and returns a LinkedIn profile URL if found.

First, sign-up on Datablist and create a collection.

Click the "+" button on the sidebar to create a collection. Then, click on "Import CSV/Excel".

Upload your CSV file, create a property for each CSV column and launch the import. Check our Import Data documentation for a step-by-step process.

Clean your leads list

Keep the original CSV and its profile identifiers so you can return to the source. Then filter your collection to separate "Page" profiles from "User" profiles when you need people to contact. A filter lets you review a subset without deleting the other rows.

If Pages are outside your target, leave them out of the people lookup. Delete rows only after reviewing the selection and retaining the original export; the screenshot below shows that optional deletion step.

Then, if you like a minimalist view as I do, disable non-important properties. Hide all but the "Full Name", "ProfileLink" and "Bio" properties.

Use Datablist search feature or filters to review bios containing "school", "university", "student", or "college" against your actual customer criteria. These words can describe employees, founders, or students. They are review clues, not automatic reasons to delete someone.

And if you run a local business, filter for bios with your city/country.

Notes
A bio such as "Works at {school name}" may belong to a teacher or another employee. Check the role and organization before excluding the row.

Extract professional information

For group members with only a name and no info about where they work, you have to rely on manual search and enrich the profiles manually. The best way is to search on Google for "{full name} site:linkedin.com/in/" and look at the profiles listed by Google.

Searching for a LinkedIn profile with just a name usually returns homonyms. Look at their profile page, and use the location, job title, photo to find the profile that can be a prospect.

Hopefully, some Facebook profiles have a bio you can use to automatically narrow the profiles.

You can also use Entity Name Extraction on the Facebook Bio column. It extracts company names, people, and locations from the bio text. This gives you cleaner columns before LinkedIn lookup or manual review.

Keep only leads with company information

For English bios, Works at XX, CEO at XX, and Founder at XX are useful patterns for finding a possible company keyword. Filter the Bio property for the literal text at to inspect this subset. Keep the other rows for a separate review: localized bios and formats such as Founder, Acme will not match.

Important: Add a space between and after the at. Otherwise, words containing the letters at will match.

Extract keywords for the matching subset, then remove the filter to return to the full list. Keep the original Bio alongside the new keyword so you can check the extraction during data cleaning.

🔍 A blank keyword means this extraction rule did not find a usable company clue. It does not mean the member has no company. Review those rows separately instead of deleting them.

For bios with a recognizable employment pattern, extract a candidate company keyword to help LinkedIn Profile Finder from name distinguish people with the same name. A bio is a clue to verify, not proof of a current employer.

Extract company name automatically

Now, you will extract the company name from the bio. With the contact name and a company name, you will run Datablist "LinkedIn Profile Finder from name" (see below).

Click AI Editing in the Edit menu. AI Editing generates JavaScript from your prompt and a sample of rows, then runs that script on your chosen rows. Specify the supported patterns and exceptions rather than expecting the sample to cover every bio.

Write the following prompt:

Use {{X}} to select the Bio property from your collection at the end of the prompt, replacing {{Bio}}. The output is a candidate search keyword; a successful extraction does not verify that the organization exists or still employs the member.

The screenshot below shows the earlier, shorter prompt. Use the copyable version above for its explicit exception rules, then check the preview before applying it.

Click Generate and inspect the preview. Check a supported English bio, an empty bio, a localized bio, and a name containing the letters at. Use the examples above as checks for the generated script. If an exception is handled incorrectly, revise the prompt before clicking Run on items.

Extract the remaining keywords manually

If you want to get more leads, you can process your initial full prospects list and search for specific terms. Interesting bios contain the following terms: "works", "founder", "CEO", "marketing", etc. Adapt them to your business and your Facebook language.

Notes
To edit a cell, click on it and press "Enter" to switch to editing mode.

Run the "LinkedIn Profile Finder from name" enrichment

LinkedIn Profile Finder from name uses search engines to find candidate LinkedIn profiles. Check the current plan access and the estimated credit use in Datablist before running the enrichment.

Filter your collection to show first the leads with a "Keyword" property filled. Then click on the "Enrich" button to open the Enrichments panel. Select the enrichment "LinkedIn Profile Finder from name" to open the enrichment configuration drawer.

Important
A relevant company or location keyword can help LinkedIn Profile Finder from name distinguish homonyms, but it cannot guarantee the right person. Compare the returned profile with the original Facebook name and bio before using the LinkedIn URL in further enrichment.

Then click on "Continue to outputs configuration". The enrichment takes input and generates outputs. Here the enrichment returns the LinkedIn Profile Url, the LinkedIn Profile Title and the LinkedIn Profile Summary.

Click on the "+" button to add those properties to your collection.

Run "LinkedIn Profile Finder from name" by clicking the "Run on first 10 items" button. If you are happy with the results, click on "Run enrichment on all items" to process all your leads. This enrichment processes your Leads Database by chunks of 30 items.

Tips for better leads
LinkedIn is widely used in North America and Europe and less in Asia. To improve your LinkedIn profiles search, target regional groups. For example, look for groups with "European", or countries "French", "Canadian", etc.

Step 3 (Optional): Get complete profile data from the LinkedIn URLs

Google results returned with the "LinkedIn Profile Finder from name" enrichment are limited.

Datablist provides another enrichment to scrape the full LinkedIn data from a LinkedIn Profile URL!

Once you have your results, filter to keep only members with a matching LinkedIn profile.

Then, select the "LinkedIn Profile Scraper" enrichment.

Then map the property with the LinkedIn Profile URL, it should be LinkedIn Page. Datablist does some auto-mapping. But it might map it with the Facebook URL as it sees a link... Be sure to map the correct property.

On the next configuration screen, click on the "+" to create new properties from the results of this enrichment.

Be sure to extract at least:

• First Name
• Last Name
• Current (or last) experience company name
• Current (or last) experience company page URL - Important for the Step 3 - Bis: Get Company domain from LinkedIn Company Pages

Warning
Don't map the "Full Name" property with the Full Name from the Facebook scraping. Otherwise, Datablist might skip the items to avoid overwriting the data. Click on the "X" to ignore the output, or click the "+" to create a new empty property.

Then, you will have a full list of properties for your leads. Use them to filter bad leads or to build personalized intro texts.

Step 3 - Bis: Get Company domains from LinkedIn Company Pages

The Step 3 gives you a "Current (or last) experience company page URL". Datablist offers a simple way to get the Company Domain from the LinkedIn Company Page.

The company domain is important for the Step 4: Finding the email address!

Click on the "Enrich" button, and select the "Company Domain/LinkedIn Company Page Lookup" enrichment.

Select the "Current (or last) experience company page URL" as input.

And create a new property to store the domain.

Then run the enrichment to get domains for your leads.

Step 4: Find email addresses for Facebook Group members

If you do email marketing, you need the email address. To be clear: there is no direct way to get the email address from Facebook.

But we can use the name, the company name/domain, or the LinkedIn Profile URL to find an email address!

That is what the "Email Finder" enrichment does.

Click on the "Enrich" button and search for "Email Finder".

In the Inputs, map the First Name, Last Name, Company Name (from this step) or Company Domain (from the LinkedIn Profile Scraper).

⚠️ Notes
The results for the email finder are way better when you have the real First Name/Last Name and the Company domain. Please read our Step 3: Get complete profile data from the LinkedIn URLs if you missed it.

If you only have the Full Name, use the Name Parser enrichment to split the name into components (First Name, Last Name, etc.).

Map the LinkedIn Profile input with the data you had from the "LinkedIn Profile Finder from name".

And create new properties to store the results. This enrichment returns two properties:

• Email - The email address
• Email Status - Deliverability info for found email. Or 'not_found' message when no email has been found.

Then, run the "Email Finder" enrichment.

Pricing Info
The Email Finder costs 25 credits per email address found. You are not charged when no email is found.

Step 5: Update collection with new members

After the first scrape of Facebook group members, keep monitoring new members once in a while and update your Datablist collection.

Datablist lets you define a unicity constraint on any collection property. When "Do not allow duplicate values" option is enabled, duplicate rows will be skipped (or merged) during CSV import.

Enable "Do not allow duplicate values" for your "Profile Id" property. Values are unique for each Facebook profile and don't change.

Export results to an Excel file (optional)

If you need to process the Facebook group members with Microsoft Excel, click the "Export" button and select "Microsoft Excel" for export format.

Store the scrapping script in a Chrome Extension

Copy-pasting the script each time on the Chrome Console is time-consuming. Good news! You can use a Chrome Extension to quickly inject the script on the page. It can be added automatically on Facebook pages, or injected on a click.

The Chrome Extension is called "Inject Code" and is available on the Chrome Extensions store: https://chromewebstore.google.com/detail/inject-code/jpbbdgndcngomphbmplabjginoihkdph

Once the Chrome Extension is installed, click to configure a new script.

Click on the "+" button to create a "Snipper (script)".

Then on the configuration page, use the following settings:

• Name: Facebook
• URL Filter: https://www.facebook.com/*
• Type: js
• AutoRun: Select on to automatically inject the script on Facebook pages. Or off to add it after clicking from the extension menu.
• CodeSource: Custom Code

Click "Save".

Pin the extension to have it from your navigation bar. And this is it! Enjoy Facebook scraping.

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If you have any feedback on this guide or if you have questions, please contact us.