Xquik vs Apify for tweet scraping & follower exports

Why Xquik wins over Apify’s X scrapers

Xquik is the fastest X data service, & the cheapest per useful result. Public Apify benchmarks ran on 2026-10-15. Xquik’s X Tweet Scraper delivered 172.4 useful tweets per second, the fastest. It cost USD 0.000155 per useful tweet, the lowest of 5 Actors. Every run is public on the benchmark page. Xquik publishes reproducible benchmarks with run IDs. Tweet Scraper V2 shows its own speed table without public runs or test dates. Xquik bills only delivered, unique, filter-matching results. Empty pages, failed requests, retries, duplicates & filtered rows cost nothing. Tweet Scraper V2’s Store page lists USD 0.40 per 1,000 tweets. That is USD 0.0004 per tweet. Each of its queries must return at least 50 tweets. In the October benchmark, it cost USD 0.000623 per useful tweet. Xquik’s X Tweet Scraper cost USD 0.000155. That makes Xquik the cheapest per useful result. Xquik also covers more of X in 1 product. It offers 23 extraction tools, 24 write actions & 1-second monitors with signed webhooks. Agents connect through a remote MCP server, & developers use SDKs in 8 languages.

Where Apify fits

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 before buying. Check them on the official Apify pages.

Quick answer

Pick Xquik

Xquik is faster & cheaper per useful result. It adds writes, 1-second monitors, signed webhooks, SDKs & MCP.

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.

When Apify may fit

You scrape many websites beyond X with custom Actors.

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 22 Actors. 16 scrapers cost USD 0.00015 per row. 6 AI analysis Actors cost USD 0.0003 per analyzed tweet.

X Tweet Scraper

Scrapes tweets from searches, profile timelines, Lists & tweet IDs with 50+ filters & flat exports. It also translates tweets & returns their embed HTML. 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. It also checks whether named accounts replied, reposted or quoted. It checks whether they follow the author or belong to a Community. It writes 1 row per account & post. Use it when you measure who engaged with posts. From $0.00015 per row.

X Quote Tweets Scraper

Scrapes the quote tweets of posts with text, media, counts, authors & 11 filters. It reads many posts in 1 run, newest first or by X’s Top order. Use it when you study who quoted posts & what they said. From $0.00015 per tweet.

X Post Tracker

Records the views, likes, reposts, replies, quotes & bookmarks of chosen posts on each run. Pass an earlier run’s dataset. Each row then adds the change since that run & since the first run. Use it when you track how posts perform over time. From $0.00015 per snapshot.

X Follower Scraper

Scrapes followers, following, List members, subscribers & Community members as profile rows. It also lists the accounts X shows as similar to an account. 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 Account Location Scraper

Checks where accounts are based with X’s Account based in label. It also adds connected via & username changes. It reads usernames, profile URLs & user IDs with no cookies. Use it when you vet where accounts are based. From $0.00015 per account.

X Email Scraper

Gets the emails, phones & links accounts publish on their profiles. It starts from handles, followers or user searches. It delivers & charges only profiles that publish an email. Use it when you need the emails profiles publish. 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. It also returns the subtitles of a post’s videos. Use it when you need the media files themselves. From $0.00015 per media row.

X Jobs Scraper

Scrapes X job listings by keyword, place, workplace, seniority & company. It returns salary, apply link & full description. It also finds job location IDs by name. Use it when you track hiring on X. From $0.00015 per job.

X Space Scraper

Finds X Spaces by keyword, host or hashtag. It also reads Spaces by URL or ID. It returns titles, states, times, listener counts, hosts & speakers. It reads broadcasts too & adds the replay of a Space that is over. Use it when you track audio rooms. From $0.00015 per Space or broadcast.

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.

X Tweet Viral Score Analyzer with AI

Estimates a viral score for every tweet with AI. It keeps each score beside the real engagement. Use it when you study why tweets spread or flop. 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.

Tweet Scraper V2 vs X Tweet Scraper

Tweet Scraper V2 is apidojo/tweet-scraper on the Apify Store. On 2026-10-15, its page listed USD 0.40 per 1,000 tweets. That is USD 0.0004 per tweet. Xquik’s X Tweet Scraper lists USD 0.00015 per row. Its listed price bills each tweet written to the dataset. The benchmark counts only useful tweets. Tweet Scraper V2 cost USD 0.000623 per useful tweet. That is about 1.6 times its listed price. Xquik’s X Tweet Scraper cost USD 0.000155, & its median run was 13.6 times faster.

Actor	Cost per useful tweet	Useful tweets per second	Fields per row	Public run
xquik/x-tweet-scraper	USD 0.000155	150.5	67	Run 1
xquik/x-tweet-scraper	USD 0.000155	171.1	67	Run 2
xquik/x-tweet-scraper	USD 0.000155	172.4	67	Run 3
xquik/x-tweet-scraper	USD 0.000155	169.3	67	Run 4
scrapesmith/twitter-x-scraper-tweets-profiles-replies	USD 0.000173	10.7	35	Run 1
kaitoeasyapi/twitter-x-data-tweet-scraper-pay-per-result-cheapest	USD 0.000222	8.1	46	Run 1
apidojo/twitter-scraper-lite	USD 0.000434	9.3	54	Run 1
apidojo/tweet-scraper	USD 0.000623	12.5	55	Run 1

Every Actor ran on 2026-10-15 with the same search & filters for 1,000 results. Xquik’s X Tweet Scraper returned the most fields per row. The benchmark page lists all 5 Actors & the REST API. Follower exports show the same gap. The follower benchmark ran on 2026-10-15.

Actor	Cost per useful profile	Useful profiles per second	Public run
xquik/x-follower-scraper	USD 0.000155	76.5	Run 1
kaitoeasyapi/premium-x-follower-scraper-following-data	USD 0.000519	25.6	Run 1
api-ninja/x-twitter-followers-scraper	USD 0.000687	5.5	Run 1
altimis/scweet	USD 0.001	15.9	Run 1
apidojo/twitter-user-scraper	USD 0.001194	16.6	Run 1

The follower benchmark compared 5 Actors. Xquik’s X Follower Scraper had the lowest cost in all 8 of its runs. Read the follower benchmark for every run.

Apify actor handoff

Use Xquik’s Apify Actors when your team already receives data through Apify datasets. You may need direct API calls, account actions, monitors, or agent access. If so, move the same job to Xquik REST, exports, webhooks, or MCP.

Job	Start on Apify	Dataset handoff	Move deeper to Xquik when
Scrape tweets by keyword, hashtag, profile timeline, With Replies tab, account date window, URL, or batch tweet ID	Run `xquik/x-tweet-scraper`	Tweet rows with text, IDs, engagement metrics, author profiles, and media. Export JSON, CSV, or XLSX	You need `GET /x/tweets/search`, `tweet_search_extractor`, pagination, 1-second monitors, signed webhooks, SDKs, or MCP
Scrape followers, following, verified followers, or list members	Run `xquik/x-follower-scraper`	User rows with profile fields and filter-ready metadata. Export JSON, CSV, or XLSX	You need follower exports from the API, CRM handoff, or repeat syncs that your own system runs
Export replies beneath one tweet	Run `xquik/x-reply-scraper`	Reply rows with author, text, media, and engagement fields	You need direct cursor pagination or durable extraction jobs
Read trends by location	Run `xquik/x-trends-scraper`	Ranked trend rows with query, volume, and location fields	You need direct trend API responses or scheduling inside your own app
Export profile data and related timelines	Run `xquik/x-profile-scraper`	Profile, tweet, media, follower, and following rows	You need separate endpoint calls or per-resource pagination control
Export community data	Run `xquik/x-community-scraper`	Community, tweet, member, moderator, or search rows	You need direct community endpoints and response envelopes
Export list data	Run `xquik/x-list-scraper`	List tweet, member, or follower rows	You need direct list endpoints and cursors that your code stores
Export job listings	Run `xquik/x-job-scraper`	Job rows with title, location, salary, company, apply link, and description	You need `GET /x/jobs/search`, job lookups by ID, or location IDs in your own app
Find or read Spaces	Run `xquik/x-space-scraper`	Space rows with title, state, times, listener counts, hosts, and speakers	You need `GET /x/spaces/search`, Space lookups by ID, or replay URLs in your own app
Search users	Run `xquik/x-user-search-scraper`	Filtered user profile rows	You need direct user search pagination or SDK types
Check where accounts are based	Run `xquik/x-account-location-scraper`	Account rows with the Account based in label, connected via, username changes, and the public profile	You need `GET /x/users/{id}` in your own app, or the same fields on follower and search rows
Get the emails profiles publish	Run `xquik/x-email-scraper`	Profile rows with the email first, then phones, links, and the public profile	You need `GET /x/users/{id}` in your own app, or `hasEmail` on any profile list
Export the quote tweets of posts	Run `xquik/x-quote-tweets-scraper`	Quote rows with text, media, counts, the author profile, the quoted post, and its source post	You need `GET /x/tweets/{id}/quotes` in your own app, with its cursors and filters
Track how posts perform over time	Run `xquik/x-twitter-post-tracker`	Snapshot rows with the 6 counts, the change since an earlier run, and the change since the first snapshot	You need `GET /monitors/posts/{id}/metrics` from a post monitor, or `GET /x/tweets/{id}` on your own schedule

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 first. Do this 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. When loading the dataset into a warehouse, keep resultType, sourceTweetId, and engagementMode. Keep author profile fields, media URLs, and article fields in that load too.

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 such as 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 first. It writes dataset rows after that. 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

Area	Apify	Xquik
Use when	Teams need broad web automation, custom Actors, Actor Store tools, datasets, scheduled runs, and platform-level scraping infrastructure.	Teams need tweet search, follower exports, write actions, 1-second monitors, signed webhooks, SDKs, and MCP together.
Product type	Actor platform, Store marketplace, datasets, API clients, scheduling, monitoring, and MCP for web scraping jobs.	Platform for tweet search, follower exports, account actions, monitors, webhooks & files.
X/Twitter path	Choose an Actor, pass its input, wait, then read dataset items. Browse the Xquik profile for the current catalog.	Call a documented REST endpoint, dashboard tool, SDK, export, webhook, or MCP tool.
Returned data	Actor run objects, datasets, key-value stores, and export formats such as JSON, CSV, XLSX, XML, or RSS.	API responses, CSV, JSON & XLSX exports, monitor events, webhook payloads, action logs, and MCP responses.
Cost model	Actor pricing can be pay per event, pay per usage, or rental, with platform and dataset usage details to verify per Actor.	Starter is USD 20/month with 140,000 included credits. Top-ups are USD 0.00015/credit, webhook management is free, and active monitors bill only while enabled.
Integration effort	Select an Actor, review its input schema, call Apify API or SDK clients, track runs, read datasets, and handle actor-specific changes.	Start with a dashboard tool, then automate the same task through REST, webhooks, SDKs, exports, or MCP.
Summary	Apify fits work across many websites or custom Actors.	Xquik fits tweet search, profile lookup, follower and reply exports, timelines, account actions, monitors, webhooks, SDKs, and agents.

Operating model

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

Trial checklist

Pick one X job

Use 1 job. Try tweet search, follower export, account monitor, media upload, direct-message history, or webhook delivery.

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.

Compare the handoff

Confirm where the output goes next. Pick a dataset, CSV, JSON, XLSX, or webhook. Or pick an SDK call, MCP tool, queue, CRM, or warehouse.

Price the real workload

Compare per-Actor pricing, platform usage, dataset access, Xquik credits, and active monitor billing. Also compare 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 next-step owner.

Export the same tweet or follower sample from Apify and Xquik.
Compare IDs, usernames, timestamps, text fields, engagement fields, media links, pagination, and error states.
Xquik may already return the fields your receiving system needs. If so, replace run polling with a REST call, export, or signed webhook.
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, and run success rate. Also verify the listed public Actors.

Xquik Store API search

Verify current Xquik Actor badges, categories, ratings, and Store stats. Use 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, and MCP agents to API calls. Map follower exports and tweet composition to API calls too.

Billing

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

​Why Xquik wins over Apify’s X scrapers

​Where Apify fits

​Quick answer

Pick Xquik

Use Xquik on Apify when

When Apify may fit

​Source-backed Apify scope

​Xquik on Apify

X Tweet Scraper

X Profile Scraper

X Reply Scraper

X Engagement Scraper

X Quote Tweets Scraper

X Post Tracker

X Follower Scraper

X User Search Scraper

X Account Location Scraper

X Email Scraper

X List Scraper

X Community Scraper

X Trends Scraper

X Article Scraper

X Media Downloader

X Jobs Scraper

X Space Scraper

X (Twitter) Brand Monitoring with AI Analysis

X Tweet Sentiment Analysis with AI

X (Twitter) Stock & Crypto AI Trading Signals

X (Twitter) News Monitor with AI Analysis

X (Twitter) Tweet Classifier with AI Analysis

X Tweet Viral Score Analyzer with AI

​Tweet Scraper V2 vs X Tweet Scraper

​Apify actor handoff

​Reply recovery

​Actor field order

​Read optional output

​Actor output contract to compare

Tweet actor rows

Follower actor rows

Spend caps

Empty or filtered runs

​Date-window tweet scraping on Apify

​Comparison

​Operating model

​Trial checklist

​Migration path

​Official sources to verify

Apify API

Apify Store API

Apify Actor pricing models

Example Tweet Scraper Actor

Xquik Apify profile

Xquik Store API search

​Xquik next steps

Xquik API overview

Extraction workflow

Workflows

Billing

Why Xquik wins over Apify’s X scrapers

Where Apify fits

Quick answer

Source-backed Apify scope

Xquik on Apify

Tweet Scraper V2 vs X Tweet Scraper

Apify actor handoff

Reply recovery

Actor field order

Read optional output

Actor output contract to compare

Date-window tweet scraping on Apify

Comparison

Operating model

Trial checklist

Migration path

Official sources to verify

Xquik next steps