Yelp Scraper — Leads, Reviews & Contacts

Extract Yelp business listings: phone, website, address, reviews, ratings, hours, categories. Build B2B lead lists and monitor competitors.

Pricing

from $4.00 / 1,000 results

Rating

0.0

(0)

Developer

Daniel Dimitrov

Actor stats

Bookmarked

Total users

Monthly active users

20 days ago

Last modified

Changelog

2026-08-10

Fixes a run that was killed at the platform timeout (TIMED_OUT) after going idle mid-page. It had already written 16 good businesses; nothing stopped work before the kill, so the whole run was reported as a failure.

Never hit the platform timeout again. The actor now derives a deadline from the run's own timeoutAt, stops starting new work once it passes, and finishes cleanly with whatever it collected — a SUCCEEDED run with partial results instead of a TIMED_OUT failure. The margin scales with the window (10%, clamped to 5-20s) so short QA validation runs are not eaten by a fixed reserve.
A stalled listing can no longer hold the pipeline. Each business is bounded by its own time budget; one that outlives it is abandoned with a warning rather than holding all 15 concurrent workers open. This was the actual shape of the failure — 4m37s of silence at 0.9% CPU, waiting on a single await that never settled. (HTTP fetches were already bounded at 12s/attempt; the stall was in a non-HTTP await, where the Apify client retries silently for minutes.)
Watchdog backstop. If something hangs where no loop can observe the deadline, a timer finalizes the run and exits 0 before the platform kills it.
Fixed a proxy socket leak. Every request built a ProxyAgent that was never closed; undici holds keep-alive connections until an agent is closed, so each request leaked one TCP connection to proxy.apify.com for the life of the run (measured: 20 requests -> 20 sockets still open, 0 after the fix). A fresh agent per request is kept deliberately — the residential proxy assigns an exit IP per connection, so pooling would pin every rotated retry to the same IP.
Bounded review pagination. Reviews with empty text are skipped, so the "collect N reviews" loop could page forever on a business with thousands of them. It now stops a few pages past the ideal count.

2026-07-12

Fix maxResults to apply per search term/location pair (matches INPUT_SCHEMA and README); global dedup unchanged.
Prevent concurrent workers from exceeding per-search maxResults via slot reservation (run-scheduling.ts).
Parallelize business detail page + review GraphQL fetches when both are needed (lower wall-clock on review cohorts).
Parallelize independent search term×location pipelines (up to 3 concurrent) for multi-city inputs.

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