Companies That Raised Series A - Funding Round Detector

Recently Funded Companies by Round and Date

Pay per result: $1.196/1k on the Free plan down to $0.896/1k on Gold. Free Apify plan: up to 100 per run, as many runs as your credit covers. Misses and notices are free.

Find companies that raised a funding round in a date window. Pick the round types (seed, Series A and later), the dates, and optionally country, industry and headcount band. You get one row per company with its last round (type, date, amount when recorded), domain, website, industry, headcount and HQ. One row per domain, no repeats. No login, no cookies, no start fee. You pay only for a company row you receive.

No login | Round type and date window | Country, industry and size filters | One company per domain | Rows that cannot be backed are never delivered or charged | Empty searches = free | JSON/CSV export

Read this before you buy: it is a sample of funding events, not a complete feed. The funding records in this data currently reach 2025-12-01 (checked 2026-11-06), so "the last 30 days" returns nothing today. Amounts are missing on roughly a third of rows. Round dates are often a month start. See "How to read the rows" below.

See all actors by b2bdata

---

💳 Pricing and plans

One event, funded-company, charged once per company row delivered. Prices per 1,000 companies (set on the Pricing tab):

Event	When it is charged	Free plan	Gold plan
funded-company	A funded company row is delivered to your dataset	$1.196	$0.896

Bronze and Silver prices are on the Pricing tab. Higher Apify plans only lower the price. Empty searches, failed lookups, skipped rows and notices are free, and there is no start fee.

Plan-credit math. The free plan's $5 monthly credit covers about 4,180 companies at the Free price.

Success-only billing

You are charged only for a company row you receive. A search that matches nothing gets one free notice row (reason: "no_matches"). These rows are skipped: not delivered, not charged:

• no usable domain;
• a second record for a domain you already received;
• a record on a domain the company does not own (a division or regional page that would carry its parent's round);
• a last round of a type you did not ask for, dated outside your window or in the future, or with no date;
• a seed, pre-seed, angel or Series A round on a company with 2,000 or more people (an early round that size is not credible; one such row was seen in a 30-row check).

An upstream failure is a free notice, and companies delivered before it stay delivered. RUN_SUMMARY counts every skip by reason.

The free plan

Free Apify accounts get up to 100 companies per run, and as many runs as their Apify credit covers. Nothing is stored on our side. If your limit is higher and more companies match, the run delivers 100 and adds one free notice row (reason: "free_plan_limit"). Narrow the filters and run again, or use a paid Apify plan for no per-run limit.

Keep a run small while you test

limit (default 10, maximum 10,000) caps the whole run and what is charged. The actor asks for only as many rows as it can still deliver and charge, so a spend cap on the run is never overshot. Try one filter set with limit: 5, read the rows, then scale up.

---

⚡ Why this funded-company search actor?

• Round type and dates are the filter. "Companies that raised a Series A between June and November 2025, US, 11-50 people" matched 280 companies in a check on 2026-11-06.
• Venture rounds by default. Bond issues, grants and post-IPO rounds of listed groups are in the data (Oracle and Apple show up as post_ipo_debt). They are delivered only when you name those round types.
• One row per domain. The data can hold the same company under several records. You get the domain once.
• Odd rows are not billed. Shared domains, out-of-window rounds and implausible early rounds are dropped before the charge.
• Spend is bounded. limit and the run's spend cap decide the cost before you start.

---

🎯 Use cases: build a list from funding events

• Outbound after a raise. Seed and Series A companies in your territory, with the round date to open the email with.
• Market maps. Who raised in an industry and country in a given period, for sizing or investor research.
• Recruiting and vendor targeting. Companies with fresh money and a team of 11-50 people.
• Agent workflows. An AI agent needs funded companies for a segment, then passes the domains to another actor.

---

🚀 Quick start: companies for a window

1. A first look

{ "roundTypes": ["series_a"], "dateFrom": "2025-06-01", "dateTo": "2025-11-30", "countries": ["US"], "sizes": ["11-50"], "limit": 5 }

2. Seed and Series A across several countries

{ "roundTypes": ["seed", "series_a"], "dateFrom": "2025-01-01", "dateTo": "2025-11-30", "countries": ["DE", "GB", "FR"], "industries": ["Software Development"], "sizes": ["11-50", "51-200"], "limit": 500 }

---

⚙️ Inputs

dateFrom is required. Everything else is optional.

Key	Type	Default	What it does
dateFrom	string YYYY-MM-DD	required	First day of the window. The company's last round must be dated on or after it.
dateTo	string YYYY-MM-DD	today	Last day of the window.
roundTypes	array of strings	pre_seed, seed, series_a to series_f	Round types to keep. Series A, series-a and series_a all mean series_a. At most 20.
countries	array of strings	any	Two-letter country codes, for example DE, US. Use GB for the United Kingdom. At most 10.
industries	array of strings	any	Industry names, for example Software Development. An unknown name stops the run with a free notice that names it. At most 50.
sizes	array of strings	any	Headcount bands: 1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10001+. Chosen bands must touch. Companies with no headcount on file are not returned when you set a size.
limit	integer	10	Most companies delivered in the whole run, which also caps what is charged. Maximum 10,000. Free plan: 100 per run.
includeAudit	boolean	false	Adds an audit object to each row.

Round type names seen in the data: pre_seed, seed, series_a, series_b, series_c, series_d, series_unknown, convertible_note, corporate_round, equity_crowdfunding, initial_coin_offering, grant, debt_financing, private_equity, secondary_market, post_ipo_equity, post_ipo_debt, undisclosed. A name the data does not know matches nothing and ends the run with a free notice.

Any other field stops the run before a lookup with remove unsupported fields: .... Nothing is charged.

---

📤 Output

One result row per company, in the order the data returns them. Empty values are left out.

Key	Type	Meaning, and when it is missing
domain	string	The company's site domain, lower-case. Always present
name	string	Company name
lastFundingRound	string	Type of the last round, for example series_a. Always present
lastFundingDate	string	Date of the last round, inside your window. Always present
lastFundingAmount	integer	Amount recorded for that round. Missing when none is recorded (about a third of rows)
website	string	Website address as on file
linkedinUrl	string	Public company page URL
industry	string	Industry name
employeeCount	integer	Headcount on file. Missing when none is on file
hqCity	string	Headquarters place as on file, often written "City, Region"
hqCountry	string	Two-letter country code
foundedYear	integer	Year founded. Missing when not on file (a fifth to a third of startup rows)
description	string	Short company description, cut at about 500 characters
domainOwner	boolean	Whether the domain belongs to this company. Rows where it is false are not delivered, so you see true or nothing
audit	object	Only with includeAudit: requestId, latencyMs, matched

Example output (the shape is real, the values are illustrative):

{
  "domain": "example-bio.com",
  "name": "Example Bio",
  "lastFundingRound": "series_a",
  "lastFundingDate": "2025-07-15",
  "lastFundingAmount": 12000000,
  "website": "https://example-bio.com/",
  "linkedinUrl": "https://www.linkedin.com/company/example-bio",
  "industry": "Biotechnology Research",
  "employeeCount": 11,
  "hqCity": "San Diego, California",
  "hqCountry": "US",
  "foundedYear": 2023,
  "description": "Example Bio develops inhaled therapies.",
  "domainOwner": true
}

How to read the rows

• It is the last round only. Each company is shown with its most recent round on file. A company that raised a Series A in your window and a Series B after it is not matched for the Series A.
• Coverage ends 2025-12-01. At the 2026-11-06 check, 11 companies had a round dated 2025-12-01 or later and none had one dated 2025-12-15 or later. A window that starts after 2025-12-01 returns a free notice that says so. If the data is refreshed, this changes.
• Not every funding event is in the data. About 600 to 700 funded companies appear per week in the data (672 for 6-12 November 2025, 590 for 6-12 November 2024). Treat it as a large sample, not a complete register.
• Amounts. lastFundingAmount is the number on file. The data carries no currency field. Six well-known rounds checked against public reports (Verdiva Bio, CuspAI, Buena, Payrails, Sereact, QpiAI) were all in US dollars, including non-US companies, but that is not a guarantee. About a third of rows have no amount.
• Dates. The round date is the record's date, which is not always the announcement day. Several rows share a first-of-the-month date (for example 2025-08-01), which looks like a month-only source. Use it to the month.
• Round labels are as filed. series_a means the record says Series A. In a 20-row check one row was a $85,000 round at a resort company labelled series_a. Read the amount before you act on the label.
• Order. Rows come in the order the data returns them: by country, then by headcount from the smallest up. With a limit you receive the first rows in that order. Set sizes when you use a limit.
• Headcount is on file, not live. A size filter keeps only companies that have one.
• One company under two names. In a 20-row check one company appeared under its old and its new name on two domains. Dedupe by domain is all the actor does.
• Match counts. With includeAudit, matched is how many companies match the filters in total, before any limit and before rows are skipped.

Other records in the run

• MISSES (key-value store): holds {input: "filters", reason: "no_matches"} when nothing matched, otherwise an empty list.
• errors-funding-round-detector (key-value store): technical failures, so you can run the search again. A note (partial: ...) means some companies were already delivered.
• RUN_SUMMARY: how many companies match, how many were delivered, pages read, and how many rows were skipped for each reason.
• Notice rows (type: "notice") appear for a search with no match (no_matches), an upstream failure (upstream_error), a free-plan cut (free_plan_limit), a reached spend limit (charge_limit_reached) or invalid input (invalid-input). Notices are never charged.

What is NOT returned

• Investor names, valuation, or a company's full round history
• Contact details, people or employee lists (use people-at-company)
• Rounds dated after 2025-12-01
• Companies with no domain on file

---

🛡️ Reliable results

Our data promise. We work to keep the data current, and we stand behind it. If a company is missing, a row looks wrong or a round is mislabelled, open the Issues tab with your run link. We review every report and sort it out with you, case by case.

• No match is free and visible. A search with no result is a free notice and a MISSES record.
• Repeats are charged once. One row per domain per run.
• Each row is saved as it is delivered. A run that stops, or a page that fails halfway, keeps what it already produced.
• Bounded pace. Pages run at about one a second. The run timeout is one hour.
• Typos fail early. An unsupported field, a bad date, a bad country code, a size band that does not touch the others or a limit above its maximum stops the run before any charge.

---

🤖 For AI agents (MCP)

This actor runs through the Apify MCP server. Prompt to copy:

"Use b2bdata/funding-round-detector with roundTypes=["series_a"], dateFrom="2025-06-01", dateTo="2025-11-30", countries=["US"], sizes=["11-50"] and limit=20. Return name, domain, lastFundingDate and lastFundingAmount."

When to use it. You need companies that raised a given round type in a past window. When not to. You need the latest weeks (the data stops at 2025-12-01), a complete funding register, investor names, or the people at a company (use b2bdata/people-at-company). Input contract. dateFrom (YYYY-MM-DD) required; optional dateTo, roundTypes, countries, industries, sizes, limit 1-10,000 (default 10). Output contract. One row per company with domain, name, lastFundingRound, lastFundingDate, and when recorded lastFundingAmount. Output is deterministic and schema-stable. A search with no match is a free notice row. Smoke test. limit: 1 with one country and a six-month window returns one row. Error cases. remove unsupported fields, a missing or bad date, an unknown industry, a bad country code or size, or a bad number ends the run SUCCEEDED with one free invalid-input notice row and nothing charged.

---

🔌 Integrations: send results anywhere

1. API. Fetch rows from the run's default dataset: GET /v2/datasets/{datasetId}/items?format=csv.
2. Webhook on run success to push rows to your own endpoint.
3. n8n, Make, Zapier. Use the native Apify nodes: run the actor, then read the dataset.
4. Google Sheets, Airtable, HubSpot, Salesforce, Clay. Join on domain and map name, lastFundingRound and lastFundingDate to account fields.

---

🕐 Schedule examples

• Monthly window run. A schedule with a saved task that holds your filters. Move dateFrom and dateTo forward as the data is refreshed.

---

🔗 Related actors

• b2bdata/company-search: companies by industry, size, country and founding year. Open
• b2bdata/people-at-company: the people at each company domain this actor returns. Open
• b2bdata/linkedin-company-search: company pages found by name, keyword or URL. Open

See all actors by b2bdata

---

❓ FAQ

Data and coverage

How do I find companies that raised a Series A? Put series_a in roundTypes, set dateFrom and dateTo, add a country, industry or size if you want, and run. You get one row per company with the round date and, when recorded, the amount.

Why does "the last 30 days" return nothing? The funding records in this data currently reach 2025-12-01. Start your window earlier. The run says so in a free notice.

Why is lastFundingAmount missing on some rows? No amount is on file for that round. About a third of rows have none. The row is still delivered because the round itself is on file.

Is the amount in dollars? The data has no currency field. Six well-known rounds checked against public reports were all in US dollars. Treat it as approximate.

Why did I get fewer companies than I expected? Rows stop at limit (default 10, free plan 100). Raise it. A size filter also drops companies with no headcount on file. Some rows are skipped for the reasons listed under Success-only billing, and RUN_SUMMARY counts them. includeAudit shows matched.

Why are bond issues and grants missing? Without roundTypes you get venture rounds only. Name debt_financing, grant or post_ipo_debt to get those.

Do I need a LinkedIn account or cookies? No. It is a search without login, cookies or an account to ban.

Pricing

What do I pay when nothing matches? Nothing. There is no start fee, and empty searches, skipped rows and notices are free.

---

🛟 Support

Use the Issues tab on this actor's Apify page for bugs, questions and feature requests. We answer within 48 hours on working days. Please include the run ID and the input you used. Published on Apify by b2bdata. Not affiliated with, endorsed by, or sponsored by any company or person named in the examples above.