LinkedIn scraping and extraction

Extraction is the least glamorous step in a prospecting stack and the one that quietly decides the quality of everything downstream. The job is turning a search into a clean file. Three things go wrong, always the same three. Volume: a search above a couple of thousand profiles cannot be exported in one piece, so people slice it by hand and create overlap without noticing. Overlap: two searches that feel different to a human return the same people to a database, and you pay for both. On one of our runs, four searches returned 23,089 rows for 15,363 distinct people, so a third of the spend bought nothing. Deduplication afterwards refunds nothing, because the duplicate was billed the moment it was returned. And field hygiene: emojis in a first name and a job title glued to a surname survive the extraction, travel through the enrichment, and come out in the first line of an email in front of a prospect. Judge a tool here on three behaviours: does it split a large query automatically, does it recognise profiles you already extracted, and does it clean the fields. Prices are per volume of profiles per month, and the ladder usually starts around thirty dollars.

What the price ladder actually buys you

Vayne is built around a single job: turning a Sales Navigator search into a clean file, including the searches too large for LinkedIn to export in one piece. Its pricing is a straight ladder of monthly profile volume, and the interesting question is not which rung is cheapest but where your own search volume lands on it. The Freelance plan is 29 dollars a month, or 290 a year, for 10,000 profiles a month. Starter is 49 dollars a month, or 490 a year, for 20,000 profiles. Growth is 99 dollars a month, or 990 a year, for 50,000 profiles. Expand is 159 dollars a month, or 1,590 a year, for 100,000 profiles.

Read that ladder against the overlap problem rather than against your budget. Overlap between searches is a billing question, because the duplicate was billed the moment it was returned, and deduplication afterwards refunds nothing. Before picking a rung, it is worth counting what a search really contains, which is the whole point of counting before you buy a list.

Match the rung to the shape of your prospecting

A single narrow search tells you almost nothing about cost, because the real expense appears when you slice a large market into several passes. That is where overlap eats spend, and I have written separately about scraping a market without paying twice. If your targeting has moved past filters entirely, into resemblance-based lists, the extraction volume changes shape again, which is the subject of targeting by resemblance when filters run out. The extraction tool is one link in that chain, and what you do with the file afterwards, enrichment in particular, is priced on its own logic in what a B2B data provider costs per contact.

My own way to choose: estimate the distinct people you want, add a margin for the overlap your search structure creates, and take the cheapest rung that covers that number with room to spare. The annual rates on each rung are the same ladder discounted, so the decision is about volume first and billing period second. The full record of how the tool behaves on real searches lives on the Vayne tool page, where the details belong.