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How ProfileSpider Profile Extraction Works

Learn how ProfileSpider extracts profiles, people, companies, and leads from visible web pages, what fields it can capture, and what affects results.

AI page extraction 1 page scrape = 1 credit 5 min read

Quick answer

ProfileSpider extracts structured profiles, people, companies, and leads from pages you open in Chrome. It works best on visible public pages with repeated profiles, cards, rows, listings, or company blocks. A successful page scrape uses 1 credit.

Overview

What Profile Extraction Does

ProfileSpider turns visible page content into structured rows.

  • People

    Extract names, titles, companies, profile URLs, emails when visible, locations, and other person-level fields.

  • Companies

    Extract company names, websites, descriptions, industries, locations, emails when visible, and source URLs.

  • Profile links

    Capture LinkedIn URLs, profile pages, websites, social links, and source URLs when they appear on the page.

  • Repeated listings

    Structure repeated cards, rows, directory listings, team members, search results, or marketplace entries into rows.

  • Structured columns

    Map page information into useful lead-list columns like name, title, company, website, email, tags, notes, and source URL.

  • Export-ready output

    Saved rows can later be reviewed, enriched where useful, and exported to CSV, Excel, or JSON.

Process

How the Extraction Process Works

The basic flow is page → extraction → list → review → export.

  • 1. Open a page

    Open a public page in Chrome that contains profiles, companies, directories, team members, search results, or other repeated entries.

  • 2. Run ProfileSpider

    Click the ProfileSpider extension and start extraction. ProfileSpider analyzes the visible page content.

  • 3. AI structures the data

    The AI extraction step identifies likely people, companies, links, and fields and returns structured rows.

  • 4. Save rows to a list

    Save extracted rows to a new or existing list so you can review and organize them later.

  • 5. Add tags and notes

    Use tags and notes to organize rows by client, campaign, source, region, role, or status.

  • 6. Export or enrich

    Export the list to CSV, Excel, or JSON, or enrich eligible rows where useful.

Best fit

Pages That Work Best

ProfileSpider works best when the page has visible structured or repeated data.

  • Public directories with repeated company, member, or profile listings.

  • Company team pages with names, roles, bios, or profile links.

  • Conference sponsor, speaker, exhibitor, or partner pages.

  • Search result pages with visible names, snippets, websites, or profile URLs.

  • Marketplace, vendor, agency, consultant, or local business listing pages.

  • Public profile pages that expose useful person or company information.

Limits

Pages That Are Not Ideal

  • Pages where the useful information is hidden behind a login you cannot access.

  • PDFs, screenshots, or scanned images where the data is not available as normal page content.

  • Pages with only one item when you expect a list of many profiles or companies.

  • Pages where profiles only appear after complex interactions that are not visible when you run the extension.

  • Pages that expose almost no useful fields, such as only logos or images without names or links.

  • Private, restricted, or unauthorized data sources.

Fields

Fields ProfileSpider Can Extract

Fields depend on what the source page exposes.

  • Person fields

    Name, title, company, department, location, email when visible, phone when visible, profile URL, image, and social links.

  • Company fields

    Company name, website, industry, employee count when visible, founded year when visible, description, location, email when visible, phone when visible, and social links.

  • Source fields

    Source URL, website URL, profile URL, LinkedIn URL, social links, and other links found on the page.

  • Location fields

    City, country, region, service area, office location, or address when the page exposes it.

  • Visible contact fields

    Emails and phone numbers can be extracted when they are visible or available in the page content.

  • Your own fields

    After saving rows, you can add tags and notes to organize the list.

Quality

What Affects Extraction Results

The quality of the output depends on the quality of the source page.

  • Visible data

    ProfileSpider works from the page content available in the browser. If a field is not visible or discoverable on the page, it may remain empty.

  • Repeated structure

    Pages with repeated cards, rows, or listings usually produce cleaner structured output.

  • Page HTML quality

    Clear page structure helps extraction. Pages with messy, hidden, or image-only content may return weaker results.

  • Loaded content

    If a page uses tabs, filters, infinite scroll, or “load more” buttons, make sure the content you need is visible before extracting.

  • Available links

    LinkedIn URLs, websites, profile pages, and source URLs are only captured when they are visible or linked from the page.

  • Missing emails

    Many pages do not expose emails. If emails are missing, use email finding where available after saving the rows.

Credits

Credit Use During Extraction

ProfileSpider charges by page scrape, not by extracted row.

  • 1 page scrape = 1 credit

    A successful page scrape uses 1 credit, regardless of how many profiles are found.

  • Plan caps still apply

    Each plan has a maximum number of profiles that can be extracted from one page.

  • Export is free

    Exporting saved lists to CSV, Excel, or JSON does not use credits.

Next steps

What to Do After Extraction

  • Save useful rows to a list.

  • Remove irrelevant rows before export.

  • Add tags to organize rows by campaign, client, source, region, role, or status.

  • Add notes for manual review or next actions.

  • Run enrichment on eligible rows when you need more detail from website, profile, or social URLs.

  • Run email finding per row where appropriate and supported.

  • Export the final list to CSV, Excel, or JSON.

Troubleshooting

Common Extraction Issues

  • Missing fields

    If fields are empty, the source page may not expose that information. Try enrichment or email finding where useful.

  • Duplicate rows

    Some pages repeat the same item in multiple sections. Review duplicates inside the saved list before export.

  • Irrelevant rows

    Pages sometimes include navigation items, related profiles, ads, or unrelated content. Remove irrelevant rows before export.

  • Content not loaded

    If the page uses infinite scroll, filters, or load-more buttons, load the content first and then run extraction.

Questions

Common Questions

What does ProfileSpider extract?
ProfileSpider extracts structured people, company, profile, and lead data from visible web pages. Fields can include names, titles, companies, websites, profile URLs, emails when visible, phone numbers when visible, locations, descriptions, social links, and source URLs.
Does ProfileSpider work on any website?
ProfileSpider is designed to work on many public web pages you can open in Chrome, especially pages with visible profiles, companies, cards, rows, listings, or directories. Results depend on what the page exposes.
Does ProfileSpider need selectors or XPath?
No. ProfileSpider uses AI-powered extraction, so you do not need to write CSS selectors or XPath rules for normal extraction workflows.
Does extraction use credits?
Yes. A successful page scrape uses 1 credit, regardless of how many profiles are found within your plan’s page limit.
Does ProfileSpider charge per profile?
No. ProfileSpider uses page-based credits. One page scrape uses one credit.
Why are some fields empty?
Fields are usually empty because the source page did not expose that information. For example, many pages show names and titles but not emails or LinkedIn URLs.
Can ProfileSpider extract emails?
If an email is visible or available in the page content, ProfileSpider can include it in the extracted data. If not, you can use email finding where available after saving the row.
Can ProfileSpider extract LinkedIn URLs?
Yes, when LinkedIn URLs are visible or linked from the source page, ProfileSpider can include them in the extracted rows.
What should I do if results look messy?
Review the rows before export, remove irrelevant entries, check duplicates, keep source URLs, and try extracting after the page content is fully loaded.
Where are extracted profiles stored?
Saved profiles, lists, tags, and notes are stored locally in your browser using IndexedDB. Account, credit, billing, team data, AI extraction, enrichment, and email finding use backend or provider services.

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