ReelShort Scraper

ReelShort Scraper at a glance

ReelShort Scraper is a ready-to-run Apify actor from abotapi for collecting web data. Its documented output includes recordtype, id, bookid, transportid and chapterid, which you can export as JSON, CSV or Excel or read through the Apify API. It costs $1.90 per 1,000 results on the Apify Free plan and from $1.00 on paid plans, with smaller per-run or optional feature charges listed on Apify.

Runs on: Apify cloud: console, API, schedules and integrations
Data type: Web data
Pricing: $1.90 per 1,000 results (Free plan), from $1.00 on paid plans
Output: Documented below · JSON, CSV, Excel
Inputs: 19 options

Scrape the ReelShort vertical short-drama catalog: titles, synopses, themes and full tag taxonomy, episode counts, cast with IMDb links, view and collect counts. Search, curated shelves, genres or paste title links. Resume, incremental updates and MCP export included.

What ReelShort Scraper can do

Four ways in. Keyword search, ten curated shelves (New Release, TOP, Reel Original and more), the 216-tag genre taxonomy, or pasted title/shelf/genre/search links.
Fuller rows than the catalog-only incumbents. Every title carries its synopsis, full tag list with categories, engagement signals and, with enrichment on, cast with IMDb links, video, duration and dates: 52 fields.
Keyword search the rival lacks. The incumbent only walks shelves and categories; this actor adds full-text search across the catalog.
Resumable and incremental. Interrupted runs resume by run ID; scheduled runs emit only new, updated and expired rows.
Honest about limits. ReelShort publishes no title reviews or per-episode lists on any public surface; the actor documents both instead of inventing them.
Priced to beat the incumbent. Tiered pricing undercuts the rival flat rate from Bronze down.

Choose what to collect

These inputs let you configure ReelShort Scraper - Short-Drama Catalog, Cast & Engagement. Open the actor on Apify to enter your values and review the current options.

Supported input fields
Input	What it controls
`mode`string	How to select titles: keyword SEARCH, curated SHELF walk, GENRE taxonomy walk, or pasted URLS. Choices: SEARCH, SHELF, GENRE, URLS
`searchQueries`array	SEARCH mode only: one or more keywords (e.g. billionaire, werewolf). Each query is walked in order.
`shelves`array	SHELF mode only: curated homepage shelves to walk. Empty = all ten curated shelves.
`genres`array	GENRE mode only: plain genre, trope or actor names (e.g. Affair, Billionaire, Werewolf). Resolved against the site's live tag taxonomy.
`crawlTagIndex`boolean	GENRE mode only: walk every tag in the live taxonomy instead of the genres list above (large crawl, combine with maxTags and maxItems).
`maxTags`integer	GENRE mode with the tag index on: cap how many tags are walked (0 = no cap).
`listingUrls`array	URLS mode only: paste title/episode links (/episodes/...), shelf links (/shelf/...), genre links (/movie-genres/...) or search links (/search?keywords=...). One example of each shape is shown below.

Show 12 more inputs

More input fields
Input	What it controls
`fetchDetails`boolean	Read every title's page for the full tag taxonomy, cast with IMDb links, video, duration and dates. Off = faster card-only rows.
`maxPages`integer	Cap pages walked per shelf, genre or search (0 = no page cap; maxItems still stops the run).
`maxItems`integer	Stop after this many titles (0 = no limit). The only cap that stops a run early.
`resumeFromRunId`string	Continue an interrupted run: paste its run ID and already-collected titles are skipped.
`incrementalMode`boolean	Track titles across scheduled runs: only NEW, UPDATED and (optionally) EXPIRED rows are emitted.
`stateKey`string	Custom key for the incremental baseline (empty = derived from the search scope).
`emitUnchanged`boolean	In incremental mode, also emit rows that did not change since the previous run.
`emitExpired`boolean	In incremental mode, emit a tombstone row for titles that disappeared from the scope.
`ignoreFieldsForChanges`array	Extra field names excluded from incremental change detection (counters and rotations are ignored by default).
`mcpConnectors`array	Send collected rows into your apps (Notion and more) after the run. Fail-safe: export never fails the run.
`notionParentPageUrl`string	Notion export target: paste the parent page URL.
`maxNotifyListings`integer	Cap rows sent to connectors per run.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

recordTyperecordType

idid

bookIdbookId

transportIdtransportId

chapterIdchapterId

titletitle

urlurl

covercover

synopsissynopsis

chapterDescriptionchapterDescription

themesthemes

tagstags

Show 40 more fields

readCountreadCount

readCountDisplayreadCountDisplay

collectCountcollectCount

collectCountDisplaycollectCountDisplay

scorescore

sortScoresortScore

chapterCountchapterCount

durationSecdurationSec

castcast

hasCasthasCast

imdbIdimdbId

imdbUrlimdbUrl

releaseDatereleaseDate

onlineAtDateonlineAtDate

updateStatusupdateStatus

languagelanguage

bookTypebookType

screenModescreenMode

paidStartpaidStart

hasTrailerhasTrailer

hasDubhasDub

firstChapterIdfirstChapterId

firstSerialNumberfirstSerialNumber

videoUrlvideoUrl

videoPicvideoPic

shelfshelf

shelfRankshelfRank

genregenre

searchKeywordsearchKeyword

discoveredFromUrldiscoveredFromUrl

modemode

extractionPathextractionPath

resultsReturnedresultsReturned

detailFetcheddetailFetched

scrapedAtscrapedAt

changeTypechangeType

changedFieldschangedFields

firstSeenAtfirstSeenAt

lastSeenAtlastSeenAt

bookSourcebookSource

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "title": "The Billionaire's Sister Strikes Back",
  "readCount": 14546455,
  "collectCount": 183089,
  "chapterCount": 47,
  "tags": [
    {
      "name": "Billionaire",
      "category": null
    }
  ],
  "changeType": "NEW"
}

Ways to use this data

Who: trend analysts tracking what charts by theme, trope and release date.
Who: casting researchers using the cast index with IMDb links no public database covers.
Who: studios and licensors comparing engagement signals across titles and genres.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor

What data does ReelShort Scraper return?

The documented output for ReelShort Scraper includes recordtype, id, bookid, transportid, chapterid, title, url and cover. Availability of each field depends on the source page and the selected mode.

How much does ReelShort Scraper cost?

It costs $1.90 per 1,000 results on the Apify Free plan and from $1.00 on paid plans, with smaller per-run or optional feature charges listed on Apify. The Apify listing shows the current rate for every plan.

Can I run it on a schedule?

Yes. Combine incrementalMode with a state key so scheduled runs emit only new, updated and expired rows.

Why did my run report partial results?

Long walks can approach the run timeout; the actor then ends itself with the rows collected so far and a Partial results: status instead of timing out. Raise the timeout for the full catalog.

Where are the reviews?

ReelShort publishes no title or episode reviews, ratings or comments on any public page, API or app surface the actor can reach anonymously (verified across the site, its bundles and its Android app). The actor ships everything the catalog exposes and documents this gap instead of inventing data.

Why no per-episode rows?

The full episode list loads through an encrypted request the site ties to its own session; anonymous replay is refused. Rows carry episode counts and first-episode metadata instead.