# Companies by industry: build a company list by industry, size, location or tech stack through 鹦鹉AI

Describe the companies you want, by industry, headcount, country, revenue, funding or the technology they run, and get a list back as rows with a domain on each. 40 tools answer through 鹦鹉AI, from Apollo and Crunchbase to the smaller databases nobody has heard of, each at its own rate, and most of them priced per company returned, so the size of the page is the price. They differ in what comes back: a tool that returns ids is not the same as one that returns companies, and the notes say which is which.

## What is the best way to ask 鹦鹉AI?

Setup line (paste into any agent): `set up 鹦鹉AI — https://parrot.amorist.cn/llms.txt`

Then ask: "Using 鹦鹉AI, build me a list of 200 B2B software companies in Germany with 50 to 500 employees, show me the price for 200 rows from each tool first, run the two cheapest, dedupe on domain, and tell me how many rows each one returned and how many overlapped."

- **Say the filters in plain words** Every tool here filters on industry, size and location, and most on tech or funding. The agent maps your words to each tool's field names.
- **Ask for the price for N rows, not per row** Ask each tool for the price of your list size. The same 200 rows costs a different amount on every tool.
- **Run two and compare the overlap** No tool has every company. Two cheap lists deduped on domain is the honest way to find out which one covers your market.
- **Dedupe on domain, not name** The same company arrives as three spellings of its name and one domain. The domain is the key for everything downstream.

## Why go through 鹦鹉AI

- **No subscription, no seats** Charged per call. No card, no minimum; top up the prepaid balance.
- **Switch by changing a word** Another tool is a different word in the prompt, not a new integration.

Endpoints:

- `prospeo.companies.search` — Company lookup and search (companies): https://parrot.amorist.cn/catalog/companies
- `akta.companies.search` — Company name or domain to Akta id — free lookup (companies): https://parrot.amorist.cn/catalog/companies
- `enrichlayer.companies.search` — Company search (companies): https://parrot.amorist.cn/catalog/companies
- `hunter.x.discover-companies` — Discover companies by criteria or plain-language query (companies): https://parrot.amorist.cn/catalog/companies
- `predictleads.companies.discover` — Discover companies by location, size, industry or revenue (companies): https://parrot.amorist.cn/catalog/companies
- `hunter.x.discover-people` — Discover companies with their email counts (companies): https://parrot.amorist.cn/catalog/companies
- `blitzapi.companies.tam-by-people` — Find companies employing a persona (companies): https://parrot.amorist.cn/catalog/companies
- `blitzapi.companies.tam-by-jobs` — Find companies hiring for a role (companies): https://parrot.amorist.cn/catalog/companies
- `companyenrich.companies.search.preview` — Preview the top 25 company search results (free, Scale plan) (companies): https://parrot.amorist.cn/catalog/companies
- `tomba.companies.search.suggestions` — Resolve a company name to its domain (companies): https://parrot.amorist.cn/catalog/companies
- `companyenrich.companies.search.scroll` — Scroll company search results past 10,000 rows (companies): https://parrot.amorist.cn/catalog/companies
- `aiark.companies.search` — Search companies (companies): https://parrot.amorist.cn/catalog/companies
- `blitzapi.companies.search` — Search companies (companies): https://parrot.amorist.cn/catalog/companies
- `contactout.companies.search` — Search companies (companies): https://parrot.amorist.cn/catalog/companies
- `dropleads.companies.search` — Search companies (companies): https://parrot.amorist.cn/catalog/companies
- `limadata.companies.search` — Search companies (companies): https://parrot.amorist.cn/catalog/companies
- `moltsets.companies.search` — Search companies (companies): https://parrot.amorist.cn/catalog/companies
- `openmart.companies.search` — Search companies (companies): https://parrot.amorist.cn/catalog/companies
- `quickenrich.companies.search` — Search companies (companies): https://parrot.amorist.cn/catalog/companies
- `sixtyfour.companies.search` — Search companies (companies): https://parrot.amorist.cn/catalog/companies
- `wiza.companies.search` — Search companies (companies): https://parrot.amorist.cn/catalog/companies
- `pdl.x.company-search-post` — Search companies (POST) (companies): https://parrot.amorist.cn/catalog/companies
- `exa.companies.search` — Search companies by description (companies): https://parrot.amorist.cn/catalog/companies
- `parallel.companies.search` — Search companies by description (companies): https://parrot.amorist.cn/catalog/companies
- `diffbot.companies.search` — Search companies by DQL filter — industry, revenue (companies): https://parrot.amorist.cn/catalog/companies
- `crustdata.companies.search` — Search companies by firmographics or NL query (companies): https://parrot.amorist.cn/catalog/companies
- `leadmagic.x.companies-search-v3` — Search companies by firmographics, tech stack or funding (companies): https://parrot.amorist.cn/catalog/companies
- `companyenrich.companies.search` — Search companies by firmographics, tech stack or keywords (companies): https://parrot.amorist.cn/catalog/companies
- `apollo.companies.search` — Search companies by industry or tech — headcount growth (companies): https://parrot.amorist.cn/catalog/companies
- `lusha.companies.search` — Search companies by industry or tech (free preview) (companies): https://parrot.amorist.cn/catalog/companies
- `tomba.companies.search.reveal` — Search companies by industry, country and size (companies): https://parrot.amorist.cn/catalog/companies
- `crunchbase.companies.search` — Search companies by industry, funding or headcount (companies): https://parrot.amorist.cn/catalog/companies
- `icypeas.companies.search` — Search companies by industry, headcount growth or revenue (companies): https://parrot.amorist.cn/catalog/companies
- `pdl.companies.search` — Search companies by industry, headcount or location (companies): https://parrot.amorist.cn/catalog/companies
- `coresignal.companies.search` — Search companies by industry, size or country — ids, free (companies): https://parrot.amorist.cn/catalog/companies
- `thecompaniesapi.companies.search` — Search companies by industry, size, location or tech (companies): https://parrot.amorist.cn/catalog/companies
- `oceanio.companies.search` — Search companies by industry, technology or region (companies): https://parrot.amorist.cn/catalog/companies
- `aviato.companies.search` — Search companies with Aviato DSL (companies): https://parrot.amorist.cn/catalog/companies
- `fiber-ai.companies.search` — Search companies with typed filters (companies): https://parrot.amorist.cn/catalog/companies
- `findymail.intellimatch.search` — Start a natural-language company/contact search (async) (companies): https://parrot.amorist.cn/catalog/companies

## What people actually struggle with

This is a thin corpus honestly reported: of the ~210 Reddit and X posts read in August 2026 about ten were on the job, and a template farm of eight near identical review posts across eight invented subreddits was excluded, along with a post that hid word joiners inside its bracket tags. These five are practitioners, and they are mostly talking about what goes wrong after the list arrives.

**Accuracy drifts once nobody is checking**

> "even the best b2b data enrichment tools for crm accuracy drift once they go live and nobody double checks" (r/SmallBusiness_US, 3 points: https://www.reddit.com/r/SmallBusiness_US/comments/1vx3uub/even_the_best_b2b_data_enrichment_tools_for_crm/)

What this page can do about it: No tool here publishes a freshness number, and this page will not invent one. What per call pricing changes is the cost of checking: re-pull a sample of your list every quarter for a few credits and measure the drift yourself.

**Four vendors, one ICP, wildly different bounce rates**

> "Verified 4 B2B data vendors against the same ICP. Bounce rates ranged wildly" (r/Coldemailing: https://www.reddit.com/r/Coldemailing/comments/1vezuay/verified_4_b2b_data_vendors_against_the_same_icp/)

What this page can do about it: That test is the method this page recommends, and per call pricing is what makes it affordable: the same filter through several tools, deduped on domain, then verified. The spread that poster found is the reason not to trust any single tool, this page's cheapest included.

**Accurate, of what?**

> "I got tired of vendor pages claiming accuracy with no definition of what accuracy means" (r/Coldemailing: https://www.reddit.com/r/Coldemailing/comments/1vezuay/verified_4_b2b_data_vendors_against_the_same_icp/)

What this page can do about it: So there is no accuracy column here. Each tool states its rate, the fields it accepts and whether it has been called live through 鹦鹉AI. Accuracy on your market is something you measure, not something marketing states.

**Which of these is a database and which is a scraper**

> "Tried searching online but getting overwhelmed with options and not sure which ones are legit vs just data scrapers" (r/b2bmarketing: https://www.reddit.com/r/b2bmarketing/comments/1r08jcy/need_recommendations_for_b2b_contact_data/)

What this page can do about it: That is what real rates are for. Every tool here has a documented endpoint and a published or observed price, and the difference between them is in the numbers rather than in a review somebody paid for.

**Crunchbase without the scraping workaround**

> "Turns out Crunchbase has a bunch of restrictions, so I tried a couple methods to scrape leads efficiently" (r/weezly: https://www.reddit.com/r/weezly/comments/1n38bo0/how_i_scraped_thousands_of_crunchbase_leads_free/)

What this page can do about it: Crunchbase's own search API is a tool here, called through 鹦鹉AI on a licence rather than per call. It is not the cheapest route to a list, and a different tool will be for most filters, but it is the legitimate one.

## What actually differs

- These three look comparable and they are not interchangeable. Hunter Discover returns companies with their email counts. Coresignal's search returns ids only; the cost lands on the collect step that turns an id into a company. Akta is a name or domain to id lookup, not a filtered search. The Companies API has a `simplified=true` switch that returns fewer fields, which is a cheap way to count a market before paying for rows. The 鹦鹉AI routed endpoint: the explicit opt in where you ask 鹦鹉AI to choose among these tools, and it names the one that served and bills that tool's rate.
- Nobody on this page publishes a number for how stale their data is, and the one practitioner test in the research measured the drift at about a fifth of records having changed title or employer while the email still resolved. Treat every headcount and industry field as a claim from the month it was indexed. The tools that were called live through 鹦鹉AI carry a verified date; Apollo, Coresignal, Crunchbase, Fiber AI, Findymail and The Companies API are documented but not yet verified through 鹦鹉AI, so run one page before an agent runs a thousand.

## What is a company list by industry?

It is the output of a company search call: you send filters, industry, headcount band, country, revenue, funding stage, technology in use, and the tool returns the companies in its database that match, with a domain, a name and whatever firmographics it holds. It is the first step of account based prospecting and of most market sizing, and every tool on this page sells the same shape of answer from a different database. The differences that matter are coverage, which is where a company actually gets indexed, how stale the headcount and industry are, and what a two hundred row list costs before you know whether it is any good.

## Before you start

**Which tool has the best company data?** The research behind this page found no independent benchmark, and every accuracy figure in circulation was written by whoever sells it. Run the same filter through two or three cheap tools, dedupe on domain, and count. Two hundred rows from three tools costs less than one hundred credits on most of them.

**Why does the same list cost so much more on one tool?** Because list size is priced differently by each tool. Ask the agent to print the price for your list size on every tool before it runs.

**Can I count the matches before paying for the rows?** On some tools, yes. The Companies API's simplified mode returns fewer fields, Coresignal's search returns ids, and several tools have a count call on its own page. A count first is the cheapest way to check that your filters mean what you think.

**Is this the Apollo API or the Crunchbase API?** Both are tools here, called through 鹦鹉AI at their own rates. Crunchbase is covered by its licence, and Apollo prices a page rather than a company.

## Workflows that use this job

- [AI lead generation with 鹦鹉AI: a verified B2B lead list from one prompt](https://parrot.amorist.cn/workflows/find-and-verify-a-lead-list)

HTML version: https://parrot.amorist.cn/use-cases/build-a-company-list-by-industry-size-or-tech