Extract
Web Scraping
Turn any page into rows in your table, no selectors, no scripts, no maintenance.
You describe
>Extract every exhibitor from this page: name, booth, category, website
You receive
The page as a table, one row per entry, the columns you named, across the pagination.
Two ways a page becomes data.
A list page becomes rows
Paste the URL, name your columns in plain language. The agent drives a real browser session, clicks, filters, follows the pagination, and returns one clean row per entry.
No selectors, nothing to fix when the site changes.
A question becomes a column
On a table you already have, ask for a new column: their pricing, their locations, whether they hire. The agent reads each company's pages and writes the answer, row by row.
Everything lands in the same table, ready to enrich or sequence.
Everything it can extract.
Pages
Directories & lists
Member lists, exhibitor lists, catalogues, across the pagination.
Pricing & product pages
Offers, prices and limits, as comparable columns.
Team & careers pages
Names, roles and openings from the company's own site.
Contact details
The email behind a site, billed only when one is found.
Social content
Posts
LinkedIn, Instagram and TikTok, by keyword, hashtag or profile.
Comments & replies
LinkedIn comments and X replies, with their author.
Reactions & retweets
Who engaged with a post, ready to enrich.
Followers
The audience of an account you name, and the posts that mention it.
Pages people point it at.
Event exhibitor and speaker lists
The companies who paid to be in the room are pre-qualified by their own budget. The list is public, it is just never downloadable.
>The exhibitor list of a trade show I'm attending, enriched with the right contact at each booth.
Partner and integration directories
A platform's partner page is a list of companies that already bought into that ecosystem, and published the fact themselves.
>Every agency in a platform's partner directory, with headcount and country.
Review-site category pages
Everyone reviewed in a category owns the problem you solve, and the review text hands you the opening line.
>Vendors listed in a software category on review sites, with their rating trend.
Anything a page says about a company
Name the fields in plain language and they come back as columns, a directory, a pricing table or a team page, it makes no difference.
>Companies whose careers page or blog mentions a topic I sell into.
Free 7-day trial, no credit card
Start with one prompt.
Describe the customer you want. Freelvy searches the live web, verifies every contact and writes the sequence, you approve the angle, then it sends on autopilot or waits for your go on each message.