Give it a company name, a domain or a URL and get back what Crunchbase matches to it - the name it holds, the link to the profile, its permalink, a short description and the entity type. Six columns, one row per matching company. One thing to know before you start: Crunchbase sits behind Cloudflare, and this scraper needs a residential proxy to return anything at all.
The input is whatever your list already holds. A trading name, a website, a full URL - all three go in the same box, one per line.
Every row is tagged with the query it came from - which matters here more than usual, because one query can match more than one company.
All three are accepted in the same field, one per line, or uploaded as a CSV, XLSX, TXT or Parquet file. That is the point of this scraper: your list rarely arrives as tidy Crunchbase links, and this is what turns it into them.
A search is not a resolution. A query that matches several companies produces several rows, each tagged with the query it came from - so you can see the ambiguity and decide, rather than having one answer picked for you silently.
Crunchbase sits behind Cloudflare, and it does not yield to a datacentre address. This scraper needs a residential proxy configured against the job, and without one a run completes and returns nothing. We would rather you read that here than discover it on an empty export.
Each row is a company Crunchbase matched to your query: the name it holds, a link to the profile, its permalink, a short description and the entity type.
The column list below is the header row of real run exports, corroborated by the column array the run UI renders - the two agree exactly. What it is not is a sample: read the note under the table before you write code against any of these fields, because it says plainly what we have and have not seen this scraper return.
The names are exact - they are the workbook header row and the run UI's column array, which match. The descriptions say what each column is for. They do not describe its format, and the note under the table explains why not.
Read this before you plan around the table above. Every run export we hold for this scraper came back empty - four runs across 2026-06-30 to 2026-07-15, each a workbook with this header row and no data row beneath it. The cause is not a bug: Crunchbase is behind Cloudflare, and a run without a residential proxy completes and returns nothing. So the six names are solid - two independent sources carry them, in this order - and nothing else here is. In particular we do not tell you the format of permalink, the vocabulary of entity_type, how many matches a query returns, or in what order they come back. The obvious next step is to feed crunchbase_url into the Crunchbase Scraper for the full profile - that is what the two are for - but confirm the shape of your own first file before you wire the two together. Point a free-tier run with your own proxy at one company and read what you get.
This scraper has one control besides the query box - a cap on the rows per query, which here caps the matches you take per search. The rest is how you hand over the list, and the proxy the job runs through.
A few examples of what teams do when their list of companies is not yet a list of links.
A spreadsheet of trading names or websites is not something you can look anything up with. One run gives each of them a Crunchbase identity and a profile link, which is the thing every later step needs.
Because a query returns a row per match rather than one best guess, the rows themselves show you which names are ambiguous. That is the difference between catching a mismatch now and finding it in a report later.
Search first, profile second. Resolve your list here, then hand the Crunchbase links to the Crunchbase Scraper for the full sixteen-column profile on each one.
No subscription, no minimum, no recurring bill. Your first 500 rows are on us - after that, pay-as-you-go at the same flat rate as every other scraper here.
Every new account, one-time. No credit card required. Per-query limits, file upload and every export format included. The proxy this scraper needs is yours to supply, on the free tier and after it.
The same flat rate as every other scraper on the platform. Remember a row here is a match, not a query - an ambiguous name costs more than a precise one. The estimator shows the cost of a run before it starts.
Volume pricing, dedicated workers and an SLA for continuous monitoring or very large historical pulls. Tell us your numbers and we will quote.
LIVESCRAPER10 at checkout.The other half of this pair. Once a search has resolved your list to Crunchbase links, this reads each organization page and returns the full sixteen-column profile - founding date, headcount, industries, location and the rest.
A different way to resolve a domain, and one that does not need a proxy of your own. Worth comparing if your list is websites rather than names.
Short answer: you are reading a public search result - and the constraint here is technical and contractual rather than privacy.
Crunchbase search results are shown to anyone who runs the search, signed in or not. A company name, a link, a one-line description and a type are published to be read. Collecting publicly visible company information for research is long-established practice, and nothing here touches a login or a paywall.
This export is business data rather than personal data - a company and a pointer to its profile, not a named individual. That is a lighter obligation than a reviews or profiles export, though it does not make it none: a one-person company is still a person, and the entity type column exists precisely because not everything on Crunchbase is a company. We have not seen its values, so treat an unexpected one with care rather than assuming.
The constraint worth planning around is Crunchbase's own. The site is actively protected by Cloudflare, and its terms restrict automated access - so this is a terms question as well as a technical one, and if you have a subscription or an API agreement with them you should check it before scaling. We run no third-party trackers on the data layer, and your exports auto-delete after 30 days.
The questions we hear most. Anything else? Talk to us - humans, not bots, write the answers.
500 one-time free rows on every new account - no expiry. After that it is $0.002 per row, pay-as-you-go - no card on file until you say so. Bring your own residential proxy.
Livescraper's Crunchbase Search Scraper turns the list you actually have into Crunchbase identities. You submit company names, domains or URLs - typed one per line, or uploaded as a CSV, XLSX, TXT or Parquet file - cap the matches per query if you want to, and download the results as a clean CSV, Excel or JSON file. All three input forms go in the same box, which is the point: a list of trading names or websites is not something you can look anything up with until it has been resolved.
Each row is one matching company: the query you submitted, the name Crunchbase holds, the link to the profile, its permalink, a short description and the entity type. The output is one row per match rather than one per query, so an ambiguous name produces several rows and you can see the ambiguity instead of having a single answer chosen for you. Every row carries its query, so grouping back to your input list is straightforward.
This is the lookup half of a pair. Once a search has resolved your list, the Crunchbase Scraper reads each organization page and returns the full sixteen-column profile - founding date, headcount, industries, location, rank, operating status and social links. Search first, profile second, is how most teams use the two.
Two things are worth knowing before you start. Crunchbase is protected by Cloudflare, and this scraper needs a residential proxy to return anything: without one, a job finishes cleanly and the export contains a header row and no data. And this page publishes no example values and no format for any field - not the shape of the permalink, not the vocabulary of the entity type, not how many matches a query returns - because every run export we hold returned zero rows, and a value we have not seen is not a value worth printing. The six column names are exact and cross-checked; everything else is for your first free-tier run to tell you. Start free: your first 500 rows cost nothing and need no credit card.