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Get Started Free →apify/apify-google-maps-leads
Build a local-business lead database from Google Maps in one Apify pipeline: search by target audience + geography, enrich each place with company contacts from its website, leads enrichment (names, emails, phones, LinkedIn), Instagram + Facebook profiles, and optionally reviews for lead scoring. For places with no named contacts, escalate to apify/ai-web-scraper to pull owner / decision-maker names from the business website. Backfill missing phones via scalelist/phone-finder and missing emails
Passed 20 of 23 test cases with the skill, and 6 of 23 without it.
and 19 more in the full report
14 fixed6 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
Construct the JSON configuration input for an Apify Google Places scraper run for "coffee shops" in "Seattle, WA" where the user explicitly opted out of review scoring.
| Checked | Without skill | With skill |
|---|---|---|
| Sets maxReviews to 0 in the actor input payload | Passed | Passed |
| Sets scrapePlaceDetailPage to true in the actor input payload | Missed | Passed |
The instructions your model reads when the skill loads.
Build a lead CSV from Google Maps in one pipeline:
compass/crawler-google-places run with four add-ons pre-configured (leads enrichment, website contacts, Instagram + Facebook profiles, optional reviews).apify/ai-web-scraper on the business website to extract owner/decision-maker names. Scalelist can't work without a name.scalelist/phone-finder for leads with a missing phone, scalelist/email-finder for leads with a missing email.run_metadata.json sidecar.apify login (OAuth, if using the Apify CLI)APIFY_TOKEN env varEither the Apify CLI (recommended for portability) or the Apify MCP connector works. Commands below use the CLI; the MCP path is a drop-in via the call-actor and get-dataset-items tools.
Track progress with this checklist:
Task Progress:
- [ ] Step 1: Interview — audience, geography, scoring choice
- [ ] Step 2: Build the Google Maps input
- [ ] Step 3: Run compass/crawler-google-places
- [ ] Step 4: Filter + score (if scoring enabled)
- [ ] Step 5: Discover missing names via apify/ai-web-scraper
- [ ] Step 6: Backfill missing phones and emails via scalelist Actors
- [ ] Step 7: Deduplicate and render the CSV
Ask three questions as one block — don't drip them one by one.
test cases passed, vs 6 / 23 without
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