A colleague sends you a spreadsheet of LinkedIn links. An email thread contains several more. Before adding them to your research file, you need a usable address column and a way to see repeated addresses. You can finish that cleanup locally; it does not require fetching new profiles or buying extraction credits.

Where this problem comes up

  • Inherited lists. Standardize a copied LinkedIn column while keeping its original company, source and notes.
  • Email threads. Pull recognizable profile links out of signatures and introductions.
  • Overlapping exports. Find repeated normalized addresses before reconciling the original records.
  • Event research. Extract profile links already present in copied speaker or attendee text. The tool does not visit the event or reveal hidden attendees.

What a profile URL is made of

In https://www.linkedin.com/in/l4l-example-a, the host is LinkedIn, /in/ marks the personal-profile address pattern, and l4l-example-a is the public identifier. That last part is the comparison key used by this tool, not a verified person identifier.

LinkedIn's public profile URL guidance says custom identifiers are case insensitive and can be changed. It also describes prior and assigned URLs. Two different identifiers can therefore need further identity review even when this tool keeps them as two addresses. A slug resembling a name does not supply a reliable name or role field.

Four formatting differences that hide address overlap

  • Tracking parameters. The matched profile output omits a query suffix such as ?trk=example.
  • Locale hosts. A recognized link starting with fr.linkedin.com is emitted under https://www.linkedin.com.
  • Protocol and www. Recognized bare or HTTP links receive the same HTTPS output prefix.
  • Trailing slashes. They are absent from the normalized profile output.

The matcher compares the captured identifier without case sensitivity and retains the first spelling it found in the displayed URL. It does not merge a changed custom identifier with an older one, research aliases or validate that the destination still exists. A spreadsheet can also apply explicit cleanup rules; exact-text comparison alone is the problem.

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Keep the original file. A repeated address can have different company or source notes in the original rows. The URL-only output does not preserve those fields or decide which observation to keep.

Profiles versus company pages

The tool puts recognized /in/ links in its profile output and recognized /company/ links in a separate company box. School and group links are not included in the profile CSV. Inspect the original text if you need to retain those objects.

This is text matching rather than a full URL or identity validator. Check copied punctuation, truncated links and unexpected host text against the original. Short links and Sales Navigator lead identifiers are not automatically resolved into public profile addresses.

A worked cleanup and CSV example

  1. Open the free URL extractor and replace its sample with your copied text.
  2. Review Clean profile URLs, the duplicate counter and any separate company matches. Keep missing or questionable source links for review.
  3. Choose Copy all or Download CSV. The CSV has a linkedin_url header and one recognized profile address per row.

Fictional input: these address-shaped examples illustrate matching only. They are not verified profiles or people to contact.

A: https://www.linkedin.com/in/l4l-example-a/?trk=example
A again: fr.linkedin.com/in/L4L-EXAMPLE-A/
B: linkedin.com/in/l4l-example-b?originalSubdomain=uk
Company: https://www.linkedin.com/company/l4l-example-company

The current matcher finds three profile-link occurrences, removes one address duplicate and returns two profile addresses. It shows the one company address separately. The first address keeps the spelling of its first occurrence:

linkedin_url
https://www.linkedin.com/in/l4l-example-a
https://www.linkedin.com/in/l4l-example-b

The downloaded file is named linkedin-profile-urls.csv. It contains no fetched name, title, company, email or phone fields. Copying a whole spreadsheet row does not carry its other columns into this file.

Keep incomplete or visibly truncated addresses held for review rather than copying them into your list. The profile-link review guide shows what to check before import.

URL extraction and CSV creation run in your browser without submitting the pasted text to Leadsforlinked. This describes the tool's text processing, not site-wide analytics. No signup is needed for this cleanup.

When you need profile data as well

If a clean address column finishes the job, use it. If your existing CRM already has the required people and fields, retain those records. The local tool does not open the cleaned URLs, enrich them or pass them to the app.

For a new audience from a supported LinkedIn search, use the separate source workflow:

  1. Open and review a LinkedIn People search. Check the actual company, role and location fit. Standard LinkedIn is supported for this route; Sales Navigator is optional.
  2. Create the account and verify your email. The Free offer is 100 profiles total, no card, released in batches of 20 at a 60-minute interval. Follow the countdown in your account.
  3. Install and sign in to the extension. Open Extension in the app and follow its Chrome Web Store link.
  4. Import the first 20 from that source into an app audience. Choose the quantity and audience in the extension, then open the audience in the app.
  5. Export CSV in the app and inspect it. Check actual headers, identities and required values. Company and other fields can be blank; more profile rows do not fill a missing field.

Follow the existing first-sample guide for that source route. It creates a separate audience; it does not automatically add details to the URL list you cleaned here.

Need a new audience with profile details?

Review the first 20 in an app audience and inspect its CSV. The Free offer is 100 profiles total, no card, released in 20-profile batches after email verification.

Create my free account

Choose the remaining paid job

Basic is EUR 4.99 monthly and lists unlimited scraping, CSV export and audiences. It is the extraction choice for an ongoing need for reviewed profile data. Starter is EUR 29 monthly and adds one connected LinkedIn account, multi-step campaigns, inbox, Kanban and analytics. The Free profile offer does not include a trial of those paid workflow features.

If you already have an adequate audience and need campaigns, review the audience-to-campaign steps and choose the current plan directly. A pack purchase is optional. Neither a URL cleanup nor a profile sample establishes successful import, sending or complete fields.

Keeping a copied address list tidy is separate from automated collection or messaging. LinkedIn's automated-activity policy restricts third-party scraping and automation. No account-safety guarantee follows from a cleaned file.

Sources and verification

Checked 18 October 2026 against the current local URL-tool implementation, LinkedIn Help and our app's displayed Documentation and Billing catalogue. The example text and CSV are fictional. The first-sample instructions describe the supported app route; this guide does not present a completed extension extraction, app import or payment test.

FAQ

What makes a LinkedIn URL a personal profile?

A recognized /in/ path is a personal-profile address pattern. This tool separates recognized /company/ links into the company box and does not put school or group links in its profile output. Matching a pattern does not confirm that a profile exists or who uses it.

Why does deduplicating by exact text fail?

Different protocols, locale hosts, tracking parameters and trailing slashes can produce different text for the same profile address. The tool compares the matched public identifiers without case sensitivity and keeps the first displayed spelling. It does not resolve different custom identifiers that belong to one person.

Does a profile URL contain the person's name or job title?

A custom identifier can resemble a name, but it is not a structured or verified name field. The local CSV has only linkedin_url. It does not fetch names, job titles, companies, locations or contact details.

Is my pasted text uploaded anywhere?

URL extraction and CSV creation run in your browser without submitting the pasted text to Leadsforlinked. This describes this tool's text processing, not site-wide analytics. No account is needed to clean or download the URLs.

Can I paste a whole spreadsheet column?

Yes. Copy the cells and paste them into the tool. It extracts recognized links from the surrounding text. Its one-column download does not preserve the other spreadsheet columns, so keep your original file if you need to retain those records.

Can the tool add profile details to these cleaned URLs?

No. It neither opens the profiles nor sends the cleaned list to the app. For a new profile audience, review a supported LinkedIn search, verify your Leadsforlinked email, install and sign in to the extension, import the first 20 from that source into an app audience, then export CSV in the app. Review the actual headers and missing values. This is a separate source workflow, not automatic enrichment of the cleaned list.