Capterra Displacement Leads — Turn Competitor 1-3⭐ Reviewers Into SDR Pipeline

For: SDR / outbound leaders running competitive-displacement campaigns at Outreach, Salesloft, Apollo, Gong, ZoomInfo competitors — and any B2B SaaS team that wants to put a name + role + company on the people publicly complaining about a competitor's product.

This actor mines low-star reviews on a competitor's Capterra listing and turns each reviewer into a structured outbound lead: role, company, company size, industry, country, one-sentence pain summary, and an intent score (0-100). Optionally, pipes each lead through nexgendata/lead-list-enricher to attach a LinkedIn URL and verified email so your SDRs can hit "send" the same day.

If you sell against Salesforce, HubSpot, Outreach, Salesloft, Gong, Clari, ZoomInfo, Apollo, NetSuite, Marketo, Pardot, Zendesk, Intercom, Asana, Monday, ClickUp, Jira, Notion, Airtable, Workday, BambooHR, Gusto, QuickBooks, Xero — anyone with hundreds or thousands of public Capterra reviews — this is a defensible, repeatable lead source the rest of your stack can't see.

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Why this works (the intent thesis)

In B2B, the highest-intent signal isn't "visited your pricing page." It's "publicly told a search engine that your competitor's product is failing them."

• A 5⭐ Capterra review is noise — happy customers don't switch.
• A 4⭐ review is mixed — usually a feature request, not a budget signal.
• A 1-3⭐ review is a buyer-side declaration of dissatisfaction. It's a person who has already (a) felt enough pain to write 200+ words about it on a public site, (b) self-identified their role and company, and (c) in many cases, explicitly used the word "looking for an alternative."

These are the warmest cold leads in B2B SaaS. They cost zero to source — Capterra is a public website. The only reason every SDR team isn't already doing this manually is that copy-pasting from Capterra into a CRM scales to about 20 leads/day per rep before everyone wants to quit. This actor does it at machine speed.

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The intent score formula (audit it yourself)

Buyers should never trust a black-box score. Ours is fully transparent.

base       = (6 - rating) * 15        # 1★=75, 2★=60, 3★=45
phrases   += min(20, 5 * num_phrase_hits)
recency   += 10 if published <= 30 days else 5 if <= 90 days else 0
recommend += 10 if wouldRecommend == False
intentScore = min(100, base + phrases + recency + recommend)

Phrase list: switching, switched, looking for alternative, alternatives, considering, evaluating, moving away, migrating, migration, frustrated, expensive, overpriced, cancelled, replace, replacing, leaving.

A 1⭐ review with "we're looking for an alternative, the cost is too expensive" published yesterday with wouldRecommend=false scores: 75 + 10 + 10 + 10 = 105 → capped at 100.

A 3⭐ review with no phrase hits, published 6 months ago, with wouldRecommend=true scores: 45 + 0 + 0 + 0 = 45.

Use intentScore ≥ 70 as your "drop everything and call them today" threshold. Use 50-69 for sequence enrollment.

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Use cases (and why each one works)

1. Salesforce displacement campaign for a HubSpot AE team. Input ["salesforce-com", "salesforce-sales-cloud"], maxRating=3, enrichToLinkedIn=true. Output: a Salesforce-frustration leaderboard with verified emails. Topline pitch: "I saw your Capterra review about Salesforce being too complex for your team — we built HubSpot Sales Hub specifically for this." 8-12% reply rates in pilot tests vs 1-3% on cold lists.

2. Outreach.io / Salesloft displacement for an Apollo AE. Mine ["outreach-io", "salesloft"] with industryFilter=["Software","Information Technology"]. Reviewers whose cons mention "pricing," "complex setup," or "support" are your direct ICP.

3. Niche-SaaS battle cards. For a vertical SaaS (Toast vs Square for restaurants, Procore vs Buildertrend for construction), mine the incumbent's industry-filtered reviews. You'll get a self-curated competitive intel report plus the leads.

4. CSM churn-prevention research. If you sell a product adjacent to one with growing 1-2⭐ reviews, the reviewer pool tells you what's about to be in market. Build a "switching-signal" alert via Apify scheduler running this actor weekly.

5. VC due diligence on dissatisfaction signal. Pre-investment, mine the target's largest competitors. A category with rising 1-2⭐ volume signals an open-window for displacement plays.

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Honest limits

• Capterra anonymizes some reviewers — about 15-25% will appear with just a first name and an initial. You'll still get role + company-size + industry, which is enough to hand-trace.
• Company name is sometimes generic — "Mid-size SaaS" or "Hospital & Health Care, 1,001-5,000 employees" appears when the reviewer opted out of naming their employer. Use requireVerifiedReviewer=true to reduce this; expect ~60-75% to have a usable company string.
• LinkedIn / email enrichment success rate: ~60-70% when company name is real (not generic). For anonymized reviewers we skip enrichment to avoid wasted spend.
• Capterra rate-limits aggressive crawlers — the actor uses Apify residential proxy. Per-competitor budgets above ~100 leads/run may take 2-4 min and partial-fail; rerun with a different slug or wait an hour.
• Compliance: All data is public. CAN-SPAM-compliant cold outreach is your responsibility — include unsubscribe + business identification. GDPR Article 14 (data-subject information notice) applies if reviewer is in the EU; include source attribution ("via Capterra review") in your sequence.

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Input schema

Field	Type	Default	Description
competitorCapterraSlugs	string[]	required	Capterra product slugs, e.g. ["salesforce-com","hubspot-sales-hub"]
maxRating	int 1-5	3	Keep reviewers with rating ≤ this
maxLeadsPerCompetitor	int 1-500	50	Per-slug emit cap
requireVerifiedReviewer	bool	true	Only Capterra "verified" reviews
enrichToLinkedIn	bool	false	Pipe each lead through lead-list-enricher
industryFilter	string[]	[]	Keep only matching industries (substring)
companySizeBuckets	string[]	[]	Keep only matching size labels

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Output schema (one item per lead)

{
  "leadId": "a91c2f3e8d4b1c5e7a90",
  "competitorProduct": "salesforce-com",
  "reviewRating": 2,
  "reviewTitle": "Powerful but painful — looking for alternatives",
  "reviewPros": "Customisable and powerful when configured...",
  "reviewCons": "Expensive, slow, the UI is dated, and our team is frustrated. We are evaluating HubSpot.",
  "wouldRecommend": false,
  "reviewerName": "Sarah K.",
  "reviewerRole": "Director of Sales Operations",
  "reviewerCompanyName": "Mid-size SaaS",
  "reviewerCompanyIndustry": "Computer Software",
  "reviewerCompanySize": "201-500 employees",
  "reviewerCompanyCountry": "United States",
  "verified": true,
  "painSummary": "Expensive, slow, the UI is dated, and our team is frustrated. We are evaluating HubSpot.",
  "intentScore": 90,
  "enriched": {
    "linkedinUrl": null,
    "email": null,
    "confidence": 0
  },
  "publishedAt": "2025-09-14T00:00:00Z",
  "scrapedAt": "2026-05-16T14:00:00Z"
}

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JSON input examples

1. Salesforce displacement (3-product mine)

{
  "competitorCapterraSlugs": ["salesforce-com", "salesforce-sales-cloud", "salesforce-essentials"],
  "maxRating": 3,
  "maxLeadsPerCompetitor": 100,
  "requireVerifiedReviewer": true,
  "enrichToLinkedIn": false
}

2. Outreach.io displacement (industry-filtered, enriched)

{
  "competitorCapterraSlugs": ["outreach-io"],
  "maxRating": 3,
  "maxLeadsPerCompetitor": 50,
  "requireVerifiedReviewer": true,
  "industryFilter": ["Computer Software", "Information Technology"],
  "companySizeBuckets": ["50-200 employees", "201-500 employees"],
  "enrichToLinkedIn": true
}

3. Bulk enrich a mid-market HubSpot displacement list

{
  "competitorCapterraSlugs": ["hubspot-sales-hub", "hubspot-marketing-hub", "hubspot-crm"],
  "maxRating": 2,
  "maxLeadsPerCompetitor": 200,
  "requireVerifiedReviewer": true,
  "companySizeBuckets": ["201-500 employees", "501-1,000 employees", "1,001-5,000 employees"],
  "enrichToLinkedIn": true
}

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Run via Python SDK

from apify_client import ApifyClient

client = ApifyClient("APIFY_TOKEN")
run = client.actor("nexgendata/capterra-displacement-leads").call(run_input={
    "competitorCapterraSlugs": ["salesforce-com"],
    "maxRating": 3,
    "maxLeadsPerCompetitor": 50,
    "enrichToLinkedIn": True
})
for lead in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(lead["reviewerRole"], "@", lead["reviewerCompanyName"], "→", lead["intentScore"])

Run via cURL

curl -X POST "https://api.apify.com/v2/acts/nexgendata~capterra-displacement-leads/run-sync-get-dataset-items?token=APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"competitorCapterraSlugs":["salesforce-com"],"maxRating":3,"maxLeadsPerCompetitor":25}'

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FAQ

Q: Why not also Trustpilot or G2? A: Trustpilot exposes only a username + country — no employer, no role, so the reviewer isn't an SDR-targetable lead. G2 is currently Cloudflare-blocked for programmatic access; we'll add G2 support when the surface stabilizes. Capterra is the only source today that gives role + employer + industry + company size in a single payload.

Q: How fresh are the reviews? A: Capterra publishes reviews within hours of submission. The actor scrapes the live page, so freshness is real-time. Use publishedAt to filter for "last 30 days" cohorts; reviews in this window get a +10 intent boost.

Q: How do you handle reviewer anonymization? A: We surface what Capterra exposes. If Capterra shows "Mid-size SaaS, Computer Software, 200-500 employees, US", we emit those four fields and skip enrichment (no domain to enrich). If Capterra shows "Acme Corp", we'll attempt domain derivation and enrichment. Roughly 60-75% of verified reviews include a usable company string.

Q: What's your compliance / CAN-SPAM / GDPR posture? A: All input data is public. CAN-SPAM cold outreach is the buyer's responsibility (include unsubscribe + identification). For EU reviewers, comply with Article 14 by including source attribution in your sequence. We do not store any data — every run is stateless. We never bypass Capterra's robots.txt for protected sections.

Q: Which other actor should I pair this with? A: nexgendata/capterra-review-firehose for ongoing monitoring (run weekly via Apify scheduler to catch new 1-2⭐ reviews as they land), and nexgendata/lead-list-enricher (already wired in via enrichToLinkedIn). For full ICP enrichment of the company side, pair with nexgendata/company-enrichment-tool.

Q: What does a run cost? A: $0.05 per surfaced lead (PPE). 50 leads = $2.50. Enrichment is $0.20 per enriched lead — typically 60-70% of leads get enriched, so a 50-lead run with enrichment costs $2.50 + ~$7 = ~$9.50.

Q: Coverage by industry? A: Strongest in: Software / SaaS, Marketing, Sales, HR Tech, Finance Tech, EdTech, Healthcare IT. Weaker in: hyper-vertical industrial software (Capterra has fewer reviews per product). For the latter, expect 5-20 leads/run vs 50-100 for mainstream SaaS competitors.

Q: Can I run this on a schedule? A: Yes — use Apify Scheduler. Recommended cadence: weekly per competitor slug. Pair with deduplication on leadId in your CRM (the leadId is a deterministic hash of slug + reviewId, so re-runs won't create duplicates).

Q: What happens if Capterra blocks the request? A: The actor uses Apify residential proxy. On rare anti-bot challenges, the run will emit a diagnostic item explaining the failure. Wait 30-60 min and retry, or rotate proxy group.

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Comparison: Apify-native vs incumbent intent platforms

Tool	Annual cost	Intent source	Role/title	Pain context	Enrichment	GDPR-defensible
ZoomInfo Intent	$15K-30K	IP-based topic surge	No	No	Yes	Weak (3rd-party cookie based)
Bombora	$25K+	Co-op publisher network surge	No	No	No	Weak
6sense	$40K+	Multi-source dark-funnel	No	No	Yes	Weak
Apollo Intent	$99-299/mo (~$1.2K-3.6K/yr)	Topic intent	Limited	No	Yes	Medium
Gartner / G2 Buyer Intent	$20K-50K	Profile-visit surge	No	No	No	Medium
Capterra Displacement Leads (this actor)	PPE, $0.05/lead = ~$50/1K	Public 1-3⭐ review	Yes	Yes (verbatim quote)	Optional ($0.20/lead)	Strong (public data, source attribution)

The cost-per-actually-reachable-lead delta is the headline: ZoomInfo Intent at $15K/yr surfaces topic surges but no contact, no quote, no role; you still pay $0.10-0.30/contact for the actual lead. We give you contact + quote + role at $0.05/lead with no annual contract.

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Sister actors (NexGenData fleet)

• nexgendata/capterra-review-firehose — full-firehose mode for ongoing review monitoring (paired weekly schedule).
• nexgendata/lead-list-enricher — domain-to-contact enrichment used internally by enrichToLinkedIn=true.
• nexgendata/b2b-leads-finder — discovery actor for general B2B targeting outside the displacement angle.
• nexgendata/hiring-signal-detector — complementary intent signal (open roles for {your stack}).
• nexgendata/company-enrichment-tool — firmographic enrichment on the company side (revenue, funding, tech stack).

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