Apollo alternative that skips the filter stack
Describe your ideal buyer in plain English. Scrapll's 8-stage AI pipeline searches LinkedIn, Reddit, YouTube, Google, and 20+ directories — then returns leads with emails and a 0–100 fit score in about three minutes.
Why teams look past Apollo
Apollo is a contact database plus filters. You stack title, headcount, funding, location — then hope the records are still good.
That works if you want to query a warehouse. It's slow if you want a live hunt from a sentence of ICP.
Scrapll is built for the second job: natural-language lead discovery, not another Boolean UI on a static list.
How Scrapll works (vs the Apollo workflow)
| Apollo-style workflow | Scrapll |
|---|---|
| Build filter stacks | Type one sentence of ICP |
| Query a saved database | Live discovery across LinkedIn, Reddit, YouTube, Google + 20+ sources |
| Export, then verify elsewhere | Emails checked at MX / domain level in-pipeline |
| Manual scoring | Automatic 0–100 fit score |
| Hours of list building | ~3 minutes per search |
8-stage pipeline
Parse → Discover → Find → Verify → Enrich → Score → Summarize → Deliver
Example query
SaaS founders in Austin raising Series AWhat you get on free
- 50 leads and 10 searches on signup — no credit card
- Lead scoring and enrichment on the free plan
- Upgrade when you need volume: $39 / $99 / $199 / Enterprise
Integrations
Push enriched leads to HubSpot, or export CSV for Salesforce, Pipedrive, or any CRM. Campaign templates available on paid plans.
Who it's for
SDR leads, Heads of Growth, and founders at B2B SaaS (roughly 20–200 people) who still spend mornings building Apollo filter stacks and want sentence-in, leads-out instead.