This is a factual comparison and migration guide. 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 tweet or follower 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. It runs web scraping, browser automation, or processing tasks. It can produce structured output. The running docs describe this Apify flow. Choose an Actor and configure its input. Start the run, wait, and export results. You can also call the Run Actor endpoint withPOST.
Programmatic runs can wait for completion, then read 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. Actor pricing can charge per
event, usage, rental, or storage. 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
Find Xquik on Apify. The public Xquik profile currently shows 2 Actors. Openxquik/x-tweet-scraper and
xquik/x-follower-scraper.
X Tweet Scraper
This Actor extracts tweets, engagement metrics, author profiles, and media, then writes rows to an Apify dataset.
X Follower Scraper
Apify lists this Actor for followers, following, verified followers, list members, list subscribers, and community members.
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 tighter API control, account actions, monitors, or agent access.
For profile reply runs, use explicit
profileReplies mode. You can also use a
/with_replies profile URL. Match reply rows against
GET /x/users/{id}/replies. Match profile timeline rows against
GET /x/users/{id}/tweets. Use this mapping when moving jobs from Apify
datasets to Xquik REST.
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
Compare Apify and Xquik by the job lifecycle. Apify starts with an Actor run. Xquik starts with an X task: search tweets, export followers, monitor an account, send a DM, upload media, or deliver a webhook. If your team already standardizes on Apify datasets, use Xquik’s Apify Actors for tweet and follower jobs before moving broader workflows to Xquik’s REST API or dashboard.Setup
Apify: choose or build an Actor and configure run input. Xquik: create an API key or use a dashboard tool for a defined X task.
Output
Apify: read dataset items after a run. Xquik: receive API responses, exports, monitor events, webhook payloads, or MCP tool output.
Handoff
Apify: poll runs or attach platform integrations. Xquik: poll events, receive signed webhooks, export files, call SDKs, or let agents use MCP.
Xquik value to test
For X/Twitter scraping and automation comparisons, test the whole workflow: request shape, run time, returned fields, pagination, export format, webhook delivery, and retry path.Tweet search
Search recent or historical tweets by query, date, sort mode, language, author filters, and pagination. Use the API response directly or export results.
Follower exports
Export followers, following, verified followers, user tweets, likes, replies, quotes, reposts, list members, community members, and Space participants.
Monitoring & webhooks
Run account or keyword monitors, store events, poll them with cursors, or deliver signed webhook payloads to queues, CRMs, Slack, or warehouses.
Account actions & agents
Post tweets, upload media, send DMs, like, retweet, follow, update profiles, or let AI agents call Xquik through MCP.
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
Do not migrate a general scraping stack first. Move one X/Twitter job that has a clear output contract and downstream 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.
- Replace the run polling step with a REST call, export, or signed webhook when Xquik already returns the fields your downstream system needs.
- 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.