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Documentation Index

Fetch the complete documentation index at: https://deepline.com/docs/llms.txt

Use this file to discover all available pages before exploring further.

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Playbook

Use Apify when you need controlled web automation/scraping workflows.
  • Use apify_list_store_actors first when you do not know the actor id yet.
  • Results are ranked by quality score by default. The top result is the most reliable actor based on rating, review count, total runs, and 30-day success rate. Pick the #1 result unless you have a specific reason not to.
  • Each actor in the response includes _qualityScore (higher is better), _baseQualityScore, and _successRate30d (percentage). Prefer actors with _deeplineVetted: true, high usage/rating, and _successRate30d >= 95%.
  • For generic LinkedIn post scraping, prefer supreme_coder/linkedin-post. For LinkedIn post engagers/reactions, prefer harvestapi/linkedin-post-reactions. Avoid actors returned with _deeplineDownranked: true unless the user explicitly asked for that actor.
  • Build actorId as username/name from store results.
  • Use apify_get_actor_input_schema to inspect required/optional fields before running.
  • Wrapper-level fields (actorId, input, params, timeoutMs) and runtime validation behavior can differ from actor-page docs.
  • Prefer apify_run_actor_sync as the default execution path when you want results in one call.
  • Use apify_run_actor only when you need non-blocking execution, then poll run status before fetching outputs.
  • Validate payload shape with a tiny run before scaling row counts.

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Quality ranking

Actors are ranked by: 
score = rating * log2(reviews + 1) * log10(runs + 1) / 5
Actors with less than 80% 30-day success rate are penalized. Actors with 0 reviews but high usage get a reduced fallback score. To bypass quality ranking and use Apify’s native sort, pass rankBy: "relevance".

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Examples

# Search for actors, ranked by quality (default)
deepline tools execute apify_list_store_actors --payload '{"search":"google play reviews","limit":5}'

# Search with Apify's native relevance sort
deepline tools execute apify_list_store_actors --payload '{"search":"google play reviews","sortBy":"relevance","rankBy":"relevance","limit":5}'

# Inspect the actor's input schema page before execution
deepline tools execute apify_get_actor_input_schema --payload '{"actorId":"neatrat/google-play-store-reviews-scraper"}'

# Run an actor synchronously
deepline tools execute apify_run_actor_sync --payload '{"actorId":"neatrat/google-play-store-reviews-scraper","input":{"appIdOrUrl":"com.airbnb.android","sortBy":"newest","maxReviews":10},"timeoutMs":120000}'

deepline tools execute apify_get_dataset_items --payload '{"datasetId":"EU1bcB5F9gY3J1Zq2","limit":10,"offset":0}'