Bardeen
Build the top of your funnel yourself, scraped from wherever the leads live
Bardeen is a go-to-market automation platform built around agentic web scraping: it extracts leads from arbitrary websites without code, enriches them with validated contact details, qualifies them with AI against a described ideal customer profile, and pushes the result into Google Sheets, Airtable, Notion, or a CRM; it does not send email or run sequences, so it is the sourcing and qualification half of an AI SDR rather than the whole thing, priced from $10 a month with a free monthly credit allowance.
Overview
Bardeen started in 2020 as a browser automation tool founded by Artem Harutyunyan and Pascal Weinberger, raised an oversubscribed $15.3M Series A led by Insight Partners in 2022 with 468 Capital and FirstMark Capital participating, and later took a strategic round backed by Dropbox Ventures and HubSpot Ventures, bringing total funding to roughly $25M. In May 2025 it launched what it calls a Work Intelligence Platform and repositioned around AI agents rather than static automations. The HubSpot Ventures investment is the informative one: this is a company that has settled decisively on go-to-market work.
The core capability has stayed constant through the repositioning, and it is the reason to consider Bardeen at all: scraping. Most tools in this category resell the same contact databases, which means everybody prospects the same people from the same source. Bardeen extracts leads from wherever they actually appear, with prebuilt scrapers for sites like GitHub, YouTube, and Crunchbase and a no-code builder for anything else. If your ideal customer is identifiable from a directory, a marketplace listing, a conference page, or a repository, Bardeen can build the list and a database vendor cannot.
AI shows up in two useful places rather than as a wrapper over everything. You describe your ideal lead in plain language and the platform prioritizes which scraped records to pursue, and you can use AI plus web search to research or generate leads at scale, or to extract a specific answer from a page. Contact enrichment with validated details closes the gap between having a company name and being able to reach someone there. The output syncs to Google Sheets, Airtable, Notion, CSV, or a CRM.
The boundary is unambiguous and worth stating before anyone buys: Bardeen does not send email and does not run outreach. It builds and qualifies the list and hands it to something else. Pricing reflects the narrower scope, with a free tier of 100 credits a month, Basic at $10, and Premium at $50 for 1,000 credits, plus a 20 percent discount on annual billing. That makes it the cheapest entry point in this entire category, and also the one that leaves the most work on your side of the line.
Best for
Sales, revenue operations, and growth people whose prospects are identifiable on public web pages rather than in contact databases, and who are willing to build sourcing and qualification workflows themselves in exchange for a very low price.
Not the right fit for
- Anyone who wants an AI SDR that sends: Bardeen does not send email, does not sequence, does not warm domains, and does not touch replies at any tier.
- Teams whose prospects only exist inside conventional contact databases, where Apollo or a similar provider will be faster, cheaper per record, and less brittle than a scraper.
- Buyers who want a tool that works without configuration; everything here is built by you, and the platform does nothing on the day you buy it.
- Anyone uncomfortable maintaining scrapers, which break when target sites change layout, making this an ongoing small maintenance obligation rather than a one-time setup.
- Organizations with strict policies on automated web extraction, since scraping third-party sites carries terms-of-service and, in some jurisdictions, legal questions that sit with you rather than with the vendor.
How it works
- 1
You decide where your leads live. This is the step that determines whether Bardeen is valuable to you: if your prospects appear in a public listing, directory, repository, marketplace, or event page, the whole model works. If they only exist as rows in a purchased contact database, you should buy the database instead.
- 2
You build or select a scraper. Prebuilt scrapers cover common sources including GitHub, YouTube, and Crunchbase, and a no-code builder handles the rest by pointing at a page and identifying the fields you want. This is browser-based extraction rather than an API integration, which is what makes arbitrary sites reachable.
- 3
Scraped records flow into enrichment for validated contact information, and into AI qualification where you describe your ideal lead in plain language and the platform prioritizes accordingly. Web search and AI research can also generate or augment leads rather than only filtering an existing set.
- 4
The output syncs out to Google Sheets, Airtable, Notion, a CSV, or a CRM, and your sending tool takes it from there. Nothing leaves Bardeen as an email. That separation keeps the platform cheap and keeps deliverability, warmup, and reply handling entirely outside its scope and inside yours.
Feature breakdown
22 features in 5 modulesAgentic web scraping
The capability that justifies Bardeen's existence next to a contact database.- No-code scraper builder
- Point at a page, identify the fields, and Bardeen extracts them at scale without writing code, which brings arbitrary websites into reach as lead sources.
- Prebuilt premium scrapers
- Ready-made extractors for common sources including GitHub, YouTube, and Crunchbase, so common jobs do not require building anything.
- Browser-based extraction
- Because it works through the browser rather than through APIs, it can reach sites that expose no integration at all, which is precisely where uncontested lead sources live.
- Scrape leads from where they live
- The strategic point: extracting from directories, marketplaces, repositories, and event pages produces lists your competitors, who all buy the same database, do not have.
- Scale extraction
- Runs across many pages rather than one at a time, converting an afternoon of copying into an automated job.
AI research and qualification
Where the agent framing earns its keep, applied narrowly.- Describe your ideal lead in plain language
- AI prioritizes which scraped records to pursue based on a natural-language ICP description rather than requiring you to encode filter logic.
- AI-powered lead generation at scale
- Research or generate leads using leading AI and web search providers rather than only filtering an already-built list.
- Instant answers from a website
- Ask a question about a specific site and get an extracted answer, which is how you qualify on criteria that no structured field captures.
- Prioritized output
- Records arrive ranked rather than raw, which is the difference between a scrape and a worklist for a small team.
Enrichment and data delivery
Turning a scraped name into a reachable contact and getting it somewhere useful.- Validated contact enrichment
- Finds and validates contact details so scraped company records become people you can actually reach.
- Google Sheets and Airtable sync
- The two places small GTM teams actually keep working lists, supported as first-class destinations.
- Notion and CSV output
- Covers documentation-centric teams and anyone whose next step is uploading into a sending platform.
- CRM sync
- Records can land in the CRM directly, which matters given HubSpot Ventures is an investor and the GTM positioning is deliberate.
- Data accuracy workflows for RevOps
- The same extraction and enrichment machinery is used for keeping existing CRM records current rather than only for net-new prospecting.
Workflow and agents
What the 2025 repositioning actually added.- Agents rather than static automations
- The May 2025 Work Intelligence Platform launch moved the product from recorded playbooks to agents that decide how to accomplish a described outcome.
- Agent-scoped security policies
- Access can be constrained per agent rather than granting blanket permissions, which is a sensible control for a tool with browser reach.
- Reusable playbooks
- Common workflows are saved and shared rather than rebuilt, which is how a team gets leverage from one person's configuration work.
- Cross-functional use beyond sales
- Customer success uses it for meeting prep and engagement analysis, revenue operations for data accuracy, and sales leadership for competitive monitoring.
Pricing and access
The cheapest entry point in this category, by a distance.- Free tier with 100 monthly credits
- Recurring rather than a one-off trial allowance, so light use genuinely costs nothing indefinitely.
- Basic at $10 a month
- 100 credits a month, the lowest paid entry point of anything in this directory's AI SDR category.
- Premium at $50 a month
- 1,000 credits a month, or $480 a year for 12,000 credits, a 20 percent saving on annual billing.
- Self-serve signup
- No sales call on the published tiers; Enterprise is the only path that requires a conversation and it is billed annually.
Use cases
4 documentedDeveloper tools company prospecting from GitHub
The ideal customer is identifiable by the repositories they maintain and the languages they use, none of which appears in any contact database.
A prebuilt GitHub scraper builds the list from the actual signal, AI qualification ranks by fit, enrichment finds contact details, and the output lands in a sheet ready for a sending tool.
Agency targeting businesses listed on a niche directory
Every competitor is emailing the same Apollo export, so reply rates have collapsed and differentiation has to come from the list rather than the copy.
A custom scraper turns the directory into a lead source nobody else is working, which is a more durable advantage than any AI-written opener.
RevOps person fixing CRM data rot
Half the CRM records are stale, contacts have moved on, and the sales team wastes hours discovering it one call at a time.
The same enrichment and extraction machinery runs against existing records rather than net-new prospects, which is a use case most AI SDR tools do not support at all.
Founder testing whether a lead source is worth building on
There is a hypothesis that a particular marketplace listing predicts buying intent, and no budget to find out.
The free tier's 100 recurring monthly credits validates the hypothesis at zero cost before anyone commits to a subscription or a scraper build.
Pricing
from $0 with 100 free credits a month, then $10 per month (Basic)Credit-metered monthly subscription with a recurring free allowance; credits are consumed by automation and enrichment activity.
| Plan | Price | Includes |
|---|---|---|
| Free | $0 per month |
Unusually generous as a permanent tier rather than a time-limited trial. |
| Basic | $10 per month |
The credit allowance matches the free tier, so this buys feature access rather than volume. |
| Premium | $50 per month, or $480 per year |
The working tier for anyone actually running sourcing at volume. |
| Enterprise | Custom billed annually |
|
Billing notes
- Credits meter automation and enrichment activity, so a heavy scraping and enrichment month costs more than a light one even at a fixed subscription tier.
- Basic at $10 carries the same 100 credit allowance as the free tier, so it buys feature access rather than capacity; the meaningful upgrade is Premium.
- Annual billing on Premium gives 12,000 credits for $480, a 20 percent saving against monthly.
- The published Premium plan carries an orchestration fee on top of credits, which is disclosed but easy to miss when modelling cost.
- No sending infrastructure is included because there is no sending. Running outbound with Bardeen means adding a sequencer, domains, and mailboxes, typically another $50 to $150 a month.
- Enterprise is annual only and is where VPC deployment, SCIM and SAML, and audit logs live.
Value assessment: Bardeen is the cheapest useful thing in this category and it earns that position honestly by doing less. Fifty dollars a month for scraping, AI qualification, and validated enrichment is far below what an equivalent Clay configuration costs, and the free tier is generous enough to prove a lead source before spending anything. The value depends entirely on one question: do your prospects appear on public web pages? If yes, Bardeen reaches lists nobody else has and the price is excellent. If no, you are paying for a scraper against sources that do not contain your buyers, and a conventional contact database is both cheaper and more reliable.
Strengths & limitations
Strengths
- Scraping arbitrary websites gives access to lead sources that database-reselling competitors structurally cannot reach, which is a more durable advantage than better AI copy.
- The free tier with 100 recurring monthly credits is genuinely usable and permanent rather than a time-limited trial.
- At $10 to $50 a month it is the lowest-cost entry point in this category by a wide margin.
- AI qualification from a plain-language ideal customer description is the right level of AI for this job, applied to triage rather than to prose.
- Well funded and durable relative to the category, with roughly $25M raised including a $15.3M Series A led by Insight Partners and strategic investment from Dropbox Ventures and HubSpot Ventures.
- Serves revenue operations and customer success as well as sales, so the subscription amortizes across more of the company than a pure prospecting tool.
- Agent-scoped security policies and, at Enterprise, VPC deployment with SCIM and SAML, which is more governance than most tools at this price offer.
Limitations
- It does not send. No email, no sequences, no warmup, no deliverability, no reply handling, so it is at most half an AI SDR.
- Scrapers are maintenance: target sites change layout and extraction breaks, which is a recurring small obligation rather than a one-time setup.
- Nothing works until you build it, so teams without someone who enjoys configuring automations will get very little from any tier.
- Basic at $10 carries no more credits than the free tier, which makes the pricing ladder confusing at the bottom.
- An orchestration fee sits on top of credits on the published Premium plan, so the headline price understates cost at volume.
- Scraping third-party websites raises terms-of-service and, in some jurisdictions, legal questions that sit entirely with you as the operator.
- The company has repositioned more than once, from browser automation to proactive automation to a Work Intelligence Platform of AI agents, so the current framing is newer than the underlying scraping capability.
Head-to-head comparisons
5 alternativesBardeen vs Lindy
from $29.99 per user per month (Plus)Both are build-it-yourself agent platforms and both are priced low. Lindy is broader, with a thousand-plus integrations, meeting attendance, and a SOC 2 Type II compliance posture, at $29.99 a seat. Bardeen is narrower, explicitly GTM-focused, and much stronger on browser scraping and enrichment, from $10. Take Bardeen if sourcing and enrichment is the job; take Lindy if agents will touch the whole business and a security review is coming.
Full Bardeen vs Lindy comparisonBardeen vs Floqer
from $0 (Free), then $49 per month for 2,000 creditsBoth sit in the build-your-own GTM automation space and both expect configuration work rather than shipping a finished motion. Bardeen's distinctive asset is browser-based scraping of arbitrary sites, which is where its lists come from. The choice comes down to whether your lead sources are web pages that need extracting or structured data that needs orchestrating.
Full Bardeen vs Floqer comparisonBardeen vs Clay
from Free plan; paid from $149/moThe most important comparison. Clay is the category-defining enrichment and orchestration workspace, with waterfall enrichment across dozens of providers, arbitrary logic, and AI writing, at many times the price and a learning curve measured in weeks. Bardeen is far cheaper and better at extracting from arbitrary web pages, and far weaker on provider breadth and workflow sophistication. Small teams that cannot justify Clay's price or time cost should look here first.
Full Bardeen vs Clay comparisonBardeen vs Openmart
from $0 free plan, then $149 per month (Starter), or about $105 per month billed annuallyOpenmart hands you a maintained dataset of tens of millions of local businesses plus built-in email sequencing for $149 a month. Bardeen makes you build the scraper and provides no sending at all, for a fifth of the price. If you sell to local operators, Openmart's maintained data beats maintaining your own Google Maps scraper indefinitely. If your sources are varied and unusual, Bardeen's flexibility wins.
Full Bardeen vs Openmart comparisonBardeen vs Aomni
from $0 (Starter), then $300 per month (Pro)Aomni focuses AI research on accounts already in play, producing account intelligence and briefing depth for a sales team. Bardeen is upstream of that, finding and qualifying who should be in play at all. They address different ends of the funnel and a team running complex deals could reasonably use both.
Full Bardeen vs Aomni comparisonImplementation & onboarding
- Setup time
- An hour for a prebuilt scraper, a day or more for a custom source with enrichment and qualification wired in. The variable is how unusual your lead source is, not the platform.
- Learning curve
- Moderate. The scraper builder is no-code but not effortless, and identifying fields on a messy page takes practice. AI qualification is the easy part. Expect a week before the workflows are producing lists you trust without checking.
- Onboarding
- Fully self-serve on Free, Basic, and Premium, with a permanent free credit allowance rather than a countdown trial. Enterprise is annual and requires a conversation, and includes a dedicated Slack channel and an option for an embedded expert.
- Migration notes
- Output goes to Google Sheets, Airtable, Notion, CSV, or a CRM, so the data you generate lives outside the platform by design and nothing is stranded if you leave. The switching cost is the scrapers and playbooks you built, which do not travel. Because Bardeen never holds sending identity, there is no domain or reputation entanglement to unwind.
Platform, API & security
- Platforms
- Web applicationBrowser-based extraction
- API
- Integrates with CRMs, spreadsheets, and communication tools; Enterprise adds custom MCP server hosting and proxying.
- Compliance
- Enterprise adds VPC deployment, SCIM and SAML, and audit logsNo SOC 2 status prominently published on the pricing page
- Data residency
- Not published on the self-serve tiers; VPC deployment is an Enterprise option.
- SSO
- SCIM and SAML on the Enterprise tier.
- Security notes
- Agent-scoped security policies allow permissions to be constrained per agent rather than granted blanket, which is an appropriate control for a tool with browser-level reach. The more consequential risk is legal rather than technical: extracting data from third-party websites raises terms-of-service and jurisdictional questions that rest with the operator, and no vendor control mitigates that for you.
Support & resources
- Channels
- Email supportDedicated Slack channel on EnterpriseEmbedded expert option on Enterprise
- Documentation
- Documentation and a template library covering scrapers, playbooks, and integrations, with prebuilt scrapers acting as worked examples.
- Community
- An active template and playbook ecosystem, plus visibility among growth and revenue operations practitioners.
Company
- Founded
- 2020
- Headquarters
- San Francisco, California, United States
- Ownership
- Venture-backed
- Founders
- Artem Harutyunyan, Pascal Weinberger
- Employees
- Not disclosed
- Funding
- Roughly $25M raised across three rounds, including an oversubscribed $15.3M Series A in 2022 led by Insight Partners with 468 Capital and FirstMark Capital participating, and a 2024 strategic round backed by Dropbox Ventures and HubSpot Ventures.
Funding history
| Round | Amount | Year | Notes |
|---|---|---|---|
| Seed | Included in the roughly $25M total | 2021 | Backing from 468 Capital and FirstMark Capital ahead of the public launch. |
| Series A | $15.3M | 2022 | Oversubscribed round led by Insight Partners with 468 Capital and FirstMark Capital participating. |
| Strategic | Included in the roughly $25M total | 2024 | Backed by Dropbox Ventures and HubSpot Ventures, signalling the go-to-market focus. |
Timeline
- 2020Founded by Artem Harutyunyan and Pascal Weinberger as a browser automation platform aimed at eliminating repetitive manual web work.
- 2022Launches from stealth and raises an oversubscribed $15.3M Series A led by Insight Partners with 468 Capital and FirstMark Capital participating.
- 2024Takes a strategic round backed by Dropbox Ventures and HubSpot Ventures, consolidating the shift toward go-to-market use cases.
- 2025Launches the Work Intelligence Platform in May and repositions around AI agents rather than static recorded automations.
- 2026Sells self-serve from a permanent free tier with 100 monthly credits through $10 Basic and $50 Premium, positioned squarely at sales, customer success, and revenue operations.
Integrations
- Google Sheets
- Airtable
- Notion
- CSV export
- CRM systems including HubSpot
- Prebuilt scrapers for GitHub, YouTube, Crunchbase, and others
- Communication and project management tools
- Custom MCP server hosting on Enterprise
Frequently asked questions
10 questionsWhat is Bardeen?
Bardeen is a go-to-market automation platform built around agentic web scraping. It extracts leads from arbitrary websites without code, enriches them with validated contact details, qualifies them with AI against an ideal customer profile you describe in plain language, and syncs the result to Google Sheets, Airtable, Notion, CSV, or a CRM.
Does Bardeen send emails?
No. It does not send email, run sequences, warm domains, or handle replies at any tier. It builds and qualifies the list and hands it to whatever sending tool you already use. That boundary is why it costs $10 to $50 a month rather than $250.
How much does Bardeen cost?
There is a permanent free tier with 100 credits a month. Basic is $10 a month, also with 100 credits, so it buys feature access rather than volume. Premium is $50 a month for 1,000 credits, or $480 a year for 12,000 credits, a 20 percent saving. Enterprise is custom and billed annually.
Why would I use Bardeen instead of a contact database?
Because your buyers may not be in one. If your ideal customer is identifiable from a GitHub repository, a marketplace listing, a niche directory, or an event page, Bardeen builds that list and a database cannot. If your buyers are ordinary B2B contacts that Apollo already holds, buy Apollo instead: it is cheaper per record and far less brittle.
What is the true monthly cost of running outbound with Bardeen?
Bardeen plus everything it excludes. At small-business volume that means roughly $50 for Premium, $30 to $100 for a sending platform, and $20 to $50 for domains and mailboxes, so around $100 to $200 a month all in, plus the time of whoever builds and maintains the scrapers.
Do scrapers break?
Yes, when target sites change their layout. This is the honest maintenance cost of the model and it is not eliminated by any feature. Prebuilt premium scrapers for common sources are maintained by the vendor, but anything you build against an unusual site is yours to fix. Budget occasional attention rather than assuming set and forget.
Is scraping legal and allowed?
It depends on the site, the data, and your jurisdiction, and the responsibility rests entirely with you as the operator rather than with the vendor. Many sites prohibit automated extraction in their terms of service, and personal data collected this way falls under GDPR and equivalent regimes. Treat this as a real consideration rather than a formality, particularly in Europe.
How much of this is really AI?
Less than the agent framing implies, and that is fine. The AI does two useful things: prioritizing scraped records against a plain-language ideal customer description, and extracting answers from pages that have no structured field for what you want to know. The extraction itself is deterministic scraping, which is more reliable than a language model would be for the same job.
Do I need a technical person?
Not a developer, but you need someone willing to build. The scraper builder is no-code and the AI qualification is easy, but nothing exists until it is configured, and identifying fields on a messy page takes practice. Teams without that person consistently get little value from platforms in this shape regardless of price.
Is the company stable?
Reasonably. Founded in 2020, it has raised roughly $25M including a $15.3M Series A led by Insight Partners and a strategic round with Dropbox Ventures and HubSpot Ventures participating. It has repositioned more than once, most recently in May 2025 around AI agents, so the current framing is newer than the underlying scraping engine that has been there since the start.
Editorial verdict
Bardeen is the cheapest genuinely useful tool in this category, and it gets there by being clear about doing only half the job. Scraping arbitrary websites is a real structural advantage over the many tools that resell the same contact databases, because a list nobody else has beats a better-written opener every time. The free tier with 100 recurring credits lets you prove a lead source before spending anything, and $50 a month for scraping, AI qualification, and validated enrichment is well under what an equivalent Clay setup would cost. The conditions are strict. Your prospects have to appear on public web pages, you have to be willing to build and occasionally repair scrapers, and you have to accept that scraping third-party sites is a legal question you own. And nothing sends: budget a sequencer, domains, and mailboxes on top. Within those conditions it is excellent value; outside them it is a scraper aimed at pages your buyers do not appear on.
Written by the SaaSTracker editorial team. Awards, when shown, are judged against the published criteria in our methodology.