Skip to main content
Compare Apify, Xquik, and Xquik’s Apify Actors. Match Actor inputs, dataset rows, exports, and automation needs for one X/Twitter job.
Verify current Apify actor pricing, actor inputs, dataset exports, and platform terms on the official Apify pages before buying.

​
Quick answer

Choose Apify when

You need a broad web scraping platform or Actor marketplace. Run custom scrapers, scheduled Actors, datasets, and exports across many websites.

Choose Xquik when

You need focused X API tasks: tweet search, follower exports, write actions, 1-second monitors, signed webhooks, SDKs, MCP, and dashboard tools.

Use Xquik on Apify when

You want Apify-native Actor runs and datasets for focused X data jobs. Keep the option to move deeper workflows to Xquik.

​
Source-backed Apify scope

Apify’s official docs define Actors as serverless automation programs. Each Actor accepts structured JSON input and can produce structured output. Choose an Actor, start its run, then read its dataset items. The dataset docs define each run’s default dataset as append-only storage. Store web scraping, crawling, or processing results there. Export table-like dataset rows as json, jsonl, csv, html, xlsx, xml, or rss. Apify’s Store API docs say /v2/store lists public Actors. It supports username, search, limit, offset, sortBy, category, pricingModel, and responseFormat=agent. The response includes stats and pricing metadata. Verify costs on each Actor page. Apify webhook docs describe webhooks as system-event actions. Current webhook actions send a POST HTTP request to the configured URL. Actor run events include created, succeeded, failed, aborted, timed out, and resurrected states.

​
Xquik on Apify

Xquik publishes Actors for focused X data jobs. The public profile lists 16 Actors: 11 scrapers at USD 0.00015 per row and 5 AI analysis Actors at USD 0.0003 per analyzed tweet.

X Tweet Scraper

Scrapes tweets from searches, profile timelines, Lists & tweet IDs with 50+ filters & flat exports. Use it when you need tweet data without analysis. From $0.00015 per row.

X Profile Scraper

Scrapes profiles plus their posts, replies, media & followers from handles, IDs or URLs. Use it when you start from accounts rather than searches. From $0.00015 per row.

X Reply Scraper

Scrapes replies, comments & whole conversations under posts with 25+ filters. Use it when you need the discussion beneath tweets. From $0.00015 per row.

X Engagement Scraper

Scrapes replies, quotes, retweeters, likers & threads for post URLs or IDs in bulk. Use it when you measure who engaged with posts. From $0.00015 per row.

X Follower Scraper

Scrapes followers, following, List members, subscribers & Community members as profile rows. Use it when you need audience or member lists. From $0.00015 per profile.

X User Search Scraper

Searches users by handle, bio & location with follower, verification, age & location filters. Use it when you build account lists from search. From $0.00015 per profile.

X List Scraper

Scrapes List posts, members & followers from List URLs or IDs. Use it when a curated List defines your sources. From $0.00015 per row.

X Community Scraper

Scrapes Community info, posts, searches, members & moderators. Use it when your sources are X Communities. From $0.00015 per row.

X Trends Scraper

Scrapes real-time trends by location with rank, volume, query & WOEID. Use it when you track what is trending where. From $0.00015 per trend.

X Article Scraper

Scrapes long-form X Articles as Markdown & text with covers, authors, dates & metrics. Use it when you need article bodies, not tweets. From $0.00015 per article.

X Media Downloader

Extracts or stores photos, videos & GIFs from posts or profiles with MP4 & metadata options. Use it when you need the media files themselves. From $0.00015 per media row.

X (Twitter) Brand Monitoring with AI Analysis

Tracks brand mentions with AI relevance, sentiment & customer-experience answers & compares runs. Use it when you watch a brand over time. From $0.0003 per analyzed tweet.

X Tweet Sentiment Analysis with AI

Labels attitude, intensity & sarcasm probability for every tweet with AI. Use it when you need general sentiment on any topic. From $0.0003 per analyzed tweet.

X (Twitter) Stock & Crypto AI Trading Signals

Labels bullish, bearish, neutral or mixed stance, content type, conviction & asset relevance with AI. Use it when you follow stocks, crypto or trading talk. From $0.0003 per analyzed tweet.

X (Twitter) News Monitor with AI Analysis

Labels news posts by format, source attribution & topic relevance with AI. Use it when you separate reporting from commentary. From $0.0003 per analyzed tweet.

X (Twitter) Tweet Classifier with AI Analysis

Answers your own category, score & yes/no questions for every tweet with AI. Use it when the preset analyses do not fit your labels. From $0.0003 per analyzed tweet.
Store badges, ranking positions, user counts, and run totals change. Verify the current Xquik Apify profile or Store API before citing marketplace placement.

​
Apify actor handoff

Use Xquik’s Apify Actors when your team already receives data through Apify datasets. Move the same job to Xquik REST, exports, webhooks, or MCP when you need direct API calls, account actions, monitors, or agent access. Use profileReplies or a /with_replies profile URL. Match reply rows against GET /x/users/{id}/replies. Compare profile timelines with GET /x/users/{id}/tweets when moving Apify datasets to REST.

​
Reply recovery

Reply Scraper 1.2.67 starts full & nested scopes with complete reply extraction. Use collectionStrategy: "auto" for this behavior. Incomplete extraction keeps replies before trying conversation search & direct recovery. Scope, depth, sort & author controls apply before complete response limits. The Actor keeps collected replies & removes duplicates before billing. Explicit strategies & supplied cursors keep their selected collection route. Recovery continues toward requested results after reaching the 80% diagnostic threshold. Recovery follows remaining pages & counts earlier results toward your requested limit. Filters still determine which replies count toward your requested result limit. Recovery keeps reply depth when filtered results omit ancestors. Depth limits use metadata tied to the requested root. The diagnostic threshold does not prove source exhaustion. Page limits, stalled pages, missing data, or errors keep recovery incomplete. Review diagnostics when recovery remains incomplete. A successful Apify run does not establish complete reply coverage.

​
Actor field order

Start with targets, result limits & common filters in each Actor’s Input tab. Advanced controls & compatibility inputs appear in later sections. Forms expose these fields without changing their names, types, defaults, or validation. Output tabs & dataset views put useful results before secondary metadata. Tweet & reply views prioritize text, links & authors. Profile views prioritize usernames, names & account details. Article views start with article content. Media views start with download details. Trend views start with rank, name & volume. Diagnostics remain available alongside the result views.

​
Read optional output

Output availability depends on the Actor mode, output preset, & source data. Missing fields do not mean 0 or false. Explicit null indicates unavailable data. Successful extraction can still omit optional metadata. Profile location is free-form text entered by the account owner. accountBasedIn contains X’s public country or region label when available. Its observedAt timestamp records observation time, not account creation time. Premium checkmarks, legacy verification, & identity verification are separate signals. See X’s profile-label definitions. Post & Tweet describe the same X content. Repost replaces the legacy term Retweet. Existing JSON field names remain compatible.

​
Actor output contract to compare

When testing Xquik on Apify, inspect dataset rows before comparing cost or migrating the same job to REST.

Tweet actor rows

xquik/x-tweet-scraper can write tweet rows, engagement user rows, article rows, and diagnostic rows. Keep resultType, sourceTweetId, engagementMode, author profile fields, media URLs, and article fields when loading the dataset into a warehouse.

Follower actor rows

xquik/x-follower-scraper writes compact user rows by default. Use full or raw output modes for optional profile metadata and raw profile objects. They can also include source targets, relations, URLs, or overlap fields.

Spend caps

Use Apify’s max cost per run or API maxTotalChargeUsd as the hard spend cap. Use maxItems only when you want a smaller row cap than the budget allows.

Empty or filtered runs

Empty, invalid, filtered, or zero-output runs can write one diagnostic row. The row uses resultType: "diagnostic". Its status can be no-input, invalid-input, or zero-output.

​
Date-window tweet scraping on Apify

For account backfills, pass a Search Terms value. Example: from:username since:2026-05-01 until:2026-05-02. You can also use from, since, until, since_time, and until_time. The X Tweet Scraper Actor applies the account and time bounds before writing dataset rows. maxItems still caps the run or each searchTerms entry. Before production use, open the current Actor page. Verify inputs, pricing, event limits, dataset fields, and export formats. Call the public Store API at https://api.apify.com/v2/store?username=xquik&limit=20&responseFormat=agent. It lists current Xquik Actors, badges, categories, ratings, and stats.

​
Comparison

​
Operating model

Apify starts with an Actor run and returns dataset items. Xquik starts with a documented X task and returns API, export, webhook, or MCP data. Test request shape, fields, pagination, export format, delivery, and retries end to end.

​
Trial checklist

1

Pick one X job

Use one job: tweet search, follower export, account monitor, media upload, direct-message history, or webhook delivery.
2

Run it both ways

On Apify, select the Actor, run it, wait for completion, and read dataset items. On Xquik, call the endpoint or dashboard tool and inspect the returned records.
3

Compare the handoff

Confirm where the output goes next: dataset, CSV, JSON, XLSX, webhook, SDK call, MCP tool, queue, CRM, or warehouse.
4

Price the real workload

Compare per-Actor pricing, platform usage, dataset access, Xquik credits, active monitor billing, and engineering time for retries, storage, and alerts.

​
Migration path

Move one X/Twitter job first, not the whole scraping stack. Pick a job with fixed output fields and a named owner for the next step.
  1. Export the same tweet or follower sample from Apify and Xquik.
  2. Compare IDs, usernames, timestamps, text fields, engagement fields, media links, pagination, and error states.
  3. Replace the run polling step with a REST call, export, or signed webhook when Xquik already returns the fields your receiving system needs.
  4. Keep Apify for broad web scraping jobs that do not belong to Xquik.

​
Official sources to verify

Apify API

Verify Actor runs, datasets, API clients, retries, and export formats.

Apify Store API

Verify that the Store lists public Actors and how Store discovery works.

Apify Actor pricing models

Verify pay-per-event, pay-per-usage, rental, and dataset usage details.

Example Tweet Scraper Actor

Verify current X/Twitter actor capabilities, maintainer, pricing, inputs, and output fields.

Xquik Apify profile

Verify the current Xquik Actor count, user stats, run success rate, and listed public Actors.

Xquik Store API search

Verify current Xquik Actor badges, categories, ratings, and Store stats through the public Store API.

​
Xquik next steps

Xquik API overview

Review authentication, endpoint groups, response conventions, pagination, and errors.

Extraction workflow

Estimate costs, run jobs, paginate results, and export CSV, JSON, or XLSX files.

Workflows

Map tweet monitoring, signed webhooks, MCP agents, follower exports, and tweet composition to API calls.

Billing

Check included credits, top-ups, free operations, and active monitor billing.