X (Twitter) Engagement Scraper | $0.00015/Row | Pay-Per-Result

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Watch how Framer uses Xquik scrapers with Claude Code, Codex, Cursor & more, from 6:07.

Xquik is the world's fastest & cheapest X (Twitter) scraper service with the most complete X data. Xquik's X (Twitter) Engagement Scraper collects replies, quotes, retweeters & threads for any post. Most other Apify Actors charge before filtering or deduplicating. Xquik charges only for delivered, unique, filter-matching results.

Collect Twitter replies, quotes, retweeters & thread context for 1 or more X posts. You pay $0.00015 per delivered row, & Apify bills platform usage separately. You need no X account or X API key.

Xquik is an independent third-party service. Not affiliated with X Corp. "Twitter" and "X" are trademarks of X Corp.

Why use X (Twitter) Engagement Scraper?

• Only the replies you need. Choose direct or nested replies, a reply depth & a time window.
• Leads from reposters. Filter reposters by minFollowers, hasEmail or bioContains. Rows carry the emails, phones & links each profile publishes.
• Every engagement type in 1 run. Paste post URLs or Tweet IDs. Mix replies, quotes, retweeters & thread context.
• Set your row limits. Cap the run with maxItems & each post's engagement type with maxItemsPerTarget.
• Engagement rates built in. Name engagementRate or engagementPerView in fields to add the column.

Complete results

• Each answer holds the fullest data X has for it.

Accurate rows

• Reposts carry the full original text.
• Every ID in a row stays exact.
• Mentions, links, hashtags & highlights line up with the text.
• A count that isn't known is listed in unknownCounts, never shown as 0.
• Verified badges match what x.com shows.
• Rows hold public data only.
• Quote searches return every real quote & nothing else.
• Ads & promoted entries never reach your rows.

Fresh data

• Reads keep working when X ships changes.

Speed

• One slow page doesn't hold up your run.
• Reads finish the moment their rows arrive.
• Stalled Actor calls recover on their own.

Fair billing

• Bad input costs nothing & tells you what to fix.
• Actors charge only for delivered, unique, matching rows.
• A profile shared by several targets is billed once.
• A restarted run never charges twice.
• Runs stay within your spend cap & still write their diagnostics.
• Small runs end with a tip that cuts cost.

Reliability

• A one-off error doesn't fail your run.
• A deadline returns the rows already found, with diagnostics.
• Actors ride out short Xquik outages.
• Actor runs survive restarts without repeats.
• One bad row doesn't sink a batch.
• Stopped runs keep their rows & their report.
• A run that can't start still explains itself.
• Support can see exactly what a request or run returned.

Built for agents

• Actors accept input written for other Actors.
• Output is ready for spreadsheets, with flat columns & engagement totals.
• Every run says why it ended & whether to retry.

Rich data

• Posts carry note text, edits, Community Notes, reach labels, reply controls & live events.
• Rows carry source apps, media counts & professional account data.
• Media comes with variants, alt text, sizes & availability reasons.
• You see when each account reposted a post.
• You see if each account replied to, reposted or quoted a post. You also see if it follows the author or is in a Community.

Quality checks

• Every field X shows is served, left out on purpose or proven absent.
• Xquik tests every read live against X.

What data can X (Twitter) Engagement Scraper extract?

• Direct replies across available result pages.
• Direct & nested replies in 4 sort orders.
• Source post details as a selectable row.
• Quote posts with text, authors, media & metrics.
• Retweeter profiles.
• Conversation context around each source post.
• Engagement checks that say whether named accounts replied, reposted, quoted or follow the author.
• Source post & engagement-type attribution.

How to scrape X post engagement

New to Apify? Create a free account first. The free plan needs no credit card & gives $5 to spend each month. At $0.00015 per row, $5 pays for up to 33,000 rows before platform usage. Then come back here & press Try for free.

1. Open Xquik's X (Twitter) Engagement Scraper in Apify Console.
2. Paste post URLs into startUrls or numeric Tweet IDs into tweetIds.
3. Pick engagementTypes & add filters such as minLikes or language.
4. Set maxItems to cap delivered rows, then click Start.
5. Download the dataset as JSON, CSV or Excel, or use the Apify API.

startUrls takes each URL as a plain string or as a { "url": "..." } object.

{
  "startUrls": [
    "https://x.com/OpenAI/status/2082577277246972300",
    { "url": "https://x.com/jack/status/20" }
  ]
}

Input

{
  "tweetIds": ["2082577277246972300"],
  "engagementTypes": ["replies", "quotes", "retweeters"],
  "maxItems": 10000
}

X stopped showing who liked a post in 2024. The favoriters type returns no rows. A run with no rows states that reason in its diagnostic.

By default, each account or post appears once per engagement type, with 1 charge. Set dedupeAcrossTargets to false to keep a row for each source post. The run status counts the duplicates it skipped at no charge.

Small runs that go well skip run-report & save Apify usage. Turn on alwaysSaveRunRecords to write it on every run.

Migrate from another engagement Actor

The Actor reads these field names of other engagement Actors.

• urls maps to startUrls.
• category maps to engagementTypes. replies, retweets, info & checkRetweet read as replies, retweeters, tweet & repostCheck.
• resultsPerCategory maps to maxItemsPerTarget.
• retweetCheckUsername maps to repostCheckUsers, the old name of checkAccounts.

A category that is another Actor's job, such as followers or tweets, stops the run. It reads & charges nothing. The message names the Actor to use. When you set one of these names & its canonical field, the canonical value wins. The run log names the field that lost.

Output

Each row sets resultType to tweet, replies, completeReplies, quotes, retweeters, favoriters, thread, engagementCheck or repostCheck. sourceTarget holds the source Tweet ID. Tweet & profile fields follow stable Xquik REST response shapes.

completeReplies keeps every returned row. The run report counts partial coverage in incompleteTargets. Filters run before billing.

Reposters & likers take every profile filter, such as minFollowers, hasEmail & bioContains. Their rows carry email & contactInfo, the emails, phones & links each profile publishes.

Examples use sample values. Results reflect live data. A reply row looks like this.

{
  "resultType": "replies",
  "sourceTarget": "2082577277246972300",
  "inReplyToId": "2082577277246972300",
  "username": "sample_user",
  "text": "Sample reply text",
  "likeCount": 12
}

Output columns

8 inputs shape each row after the run reads it. They run no code & change no price.

Field	What it does
fields	Keep only these fields, in the order & spelling you write
omitFields	Drop these fields & keep the rest
renameFields	Move a field to a column with a new name
flatten	Turn each nested object into top-level columns
fillMissingFields	Fill a kept field a row lacks with null. On by default
joinFields	Turn each of these lists into 1 text value
joinSeparator	Text between joined items. The default is a comma & a space
constantFields	Add a column with the same text on every row

• Use a dot for a field inside an object. Case & underscores do not matter.
• Every row keeps its id.
• With fields, a field a row lacks arrives as null. Every row then has the same columns.
• A wrong field name stops the run before it reads & charges nothing.
• If names cannot be checked, the run reads on & lists unseen names last.
• The run ignores a map function or jq filter written for another Actor.

Name a computed column in fields or renameFields to add it.

Column	Formula
totalEngagement	likeCount + replyCount + retweetCount + quoteCount. A missing count adds 0
engagementRate	totalEngagement × 100 ÷ the author's followers, to 4 decimals
engagementPerView	totalEngagement × 100 ÷ viewCount, to 4 decimals

totalEngagement is null for a row without those counts. A rate is null when its divisor is missing or 0.

Engagement check

Add engagementCheck to engagementTypes & list accounts in checkAccounts to learn how each account engaged with each post.

{
  "tweetIds": ["2098439298617856319"],
  "engagementTypes": ["engagementCheck"],
  "checkAccounts": ["discord", "nasa"],
  "engagementChecks": ["replied", "reposted", "quoted", "followsAuthor"],
  "communityIds": ["1472105760389668865"]
}

Each account & post is 1 row. Its id is engagementCheck:<post ID>:<account>. username & userId name the account, & tweetId names the post. A row looks like this.

{
  "id": "engagementCheck:2098439298617856319:discord",
  "resultType": "engagementCheck",
  "sourceTarget": "2098439298617856319",
  "tweetId": "2098439298617856319",
  "userId": "3065618342",
  "username": "discord",
  "hasReplied": true,
  "replyId": "2098441736214187523",
  "isRetweeted": true,
  "retweetId": "2098456494362460375",
  "retweetedAt": "2026-09-11T16:59:50.000Z",
  "complete": false,
  "hasQuoted": false,
  "quoteId": null,
  "isFollowingAuthor": true,
  "authorUsername": "OpenAI",
  "communityMembership": { "1472105760389668865": false }
}

• hasReplied says whether the account replied, & replyId names its reply. hasReplied is null when X did not show every reply to that post.
• isRetweeted, retweetId & retweetedAt say whether & when the account reposted. complete says whether the repost answer is final. A repost the check can't confirm reads as false with complete: false.
• hasQuoted says whether the account quoted the post, & quoteId names its quote.
• isFollowingAuthor says whether the account follows authorUsername, the author of the post.
• communityMembership gives each ID in communityIds true or false, or null when X has no such Community. Rows carry it only when you list IDs.

Pick answers in engagementChecks. Each row holds only the fields of the answers you pick. A row costs $0.00015 whatever the number of checks in it. An account X can't find gets no row & no charge, & the run status counts it.

repostCheck & repostCheckUsers still work. repostCheck gives the same row with only the repost fields, now with username. repostCheckUsers is the old name of checkAccounts. A run of only checks & tweet rows keeps your input order, with each post followed by its accounts as you listed them.

Retweet timestamps

Set includeRetweetTimestamp to true for retweeters results. The retweetedAt column holds the observed retweet time in UTC.

Xquik's X (Twitter) Engagement Scraper finds the retweet time when X still shows that retweet. Older, deleted or unavailable retweets leave the timestamp null. The profile stays in the output. A null value does not prove that an account never retweeted a post.

This option makes runs slower. Leave it off for profile-only results. Profile createdAt stays the account creation date. Tweet rows carry retweetedAt when they contain a retweet event. Original post dates & scrape times never replace retweet times. Result prices & delivered-row billing stay the same.

How much does it cost to scrape X post engagement?

Every Apify plan costs $0.00015 per delivered row. Apify bills your platform usage separately.

For more volume, pick an Apify plan with more prepaid usage.

• One charge per delivered data row. Diagnostics are free in diagnostics.
• No start, post, engagement-type or page fee.
• Deduplication runs before billing.

Limits & recovery

Xquik's X (Twitter) Engagement Scraper reads many posts & engagement types in 1 run. Delivered rows & progress survive an Apify restart. The Actor adds no time limit of its own.

Interrupted extraction writes a free partial diagnostic. Available results stay intact. Read availableResults, failedTargets, retryable & nextAction before you retry. A successful Actor exit confirms delivery, not complete extraction.

The run status names every cause of an early stop. stopCauses lists each cause with its own message, retryable & nextAction. The causes are target_not_found, target_failed, pagination_safety_limit, reply_reach & deadline_reached. reply_reach means X served only part of a reply thread. A missing target joins the list only when another cause stopped the run. The run is retryable when any cause is.

Related Xquik Actors

Every Xquik Actor shares the same extraction engine, filter-first billing & diagnostics. Pick the one that matches the data you need.

• X (Twitter) 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 (Twitter) 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 (Twitter) 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 (Twitter) Quote Tweets Scraper scrapes the quote tweets of posts with text, media, counts, authors & 11 filters. Use it when you study who quoted posts & what they said. From $0.00015 per tweet.
• X (Twitter) 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 (Twitter) 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 (Twitter) Account Location Scraper checks where accounts are based with X's "Account based in" label, "connected via" & username changes. Use it when you vet where accounts are based. From $0.00015 per account.
• X (Twitter) Email Scraper gets the emails, phones & links accounts publish on their profiles, from handles, followers or user searches. Use it when you need the emails profiles publish. From $0.00015 per profile.
• X (Twitter) 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 (Twitter) Community Scraper scrapes Community info, posts, searches, members & moderators. Use it when your sources are X Communities. From $0.00015 per row.
• X (Twitter) Space Scraper finds Spaces by keyword & reads their titles, states, times, listener counts, hosts & speakers. It also reads broadcasts by URL or ID. Use it when you track live audio & video on X. From $0.00015 per Space or broadcast.
• X (Twitter) 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 (Twitter) Jobs Scraper scrapes X job listings by keyword, place, workplace, seniority & company, with salaries & apply links. Use it when you collect job openings posted on X. From $0.00015 per job.
• X (Twitter) 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 (Twitter) 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 (Twitter) 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 (Twitter) Tweet Viral Score Analyzer with AI estimates a Viral Score from 0 to 100 & a verdict for every tweet from 8 AI trait answers. Use it when you study why tweets spread or flop. From $0.0003 per analyzed tweet.
• X (Twitter) Monitor catches every new tweet, reply, quote, repost & profile change of accounts, usually in under a second after X shows it, plus keyword tweets & follows. Use it when you need alerts as soon as X shows a tweet. From $0.0045 per monitor-hour.
• X (Twitter) to Discord Bot sends every new tweet, reply, quote & repost of accounts to a Discord channel through its webhook, with no bot to host. Use it when you want an account's tweets in a Discord channel. From $0.0045 per monitor-hour.
• X (Twitter) Crypto Tracker tracks the tweets, deleted tweets, profile changes & follows of crypto accounts & KOLs, plus cashtag tweets. Use it when you act on what crypto accounts post or follow. From $0.0045 per monitor-hour.
• X (Twitter) Follower Tracker tracks the new & lost followers of an account, & whom it follows or unfollows, with each account's full profile. Use it when you read an account's followers or follows as a signal. From $0.0045 per monitor-hour.
• X (Twitter) Post Tracker records the views, likes, reposts, replies, quotes & bookmarks of chosen posts on each run, with the change since the last run. Use it when you track how posts perform over time. From $0.00015 per snapshot.

FAQ

Answers to common questions, then where to get help.

Do I need an X account or an X API key?

No. Xquik's X (Twitter) Engagement Scraper needs no X account or X API key.

Is it legal to scrape X engagement data?

Xquik's X (Twitter) Engagement Scraper requests public X fields. Results can contain personal data. Confirm a lawful purpose & follow applicable privacy rules. Ask qualified counsel when uncertain.

Why did my run return no results?

Read the run status first. An empty run's status says to check your targets & filters. The free diagnostics output appears when something needs attention. Its stopCauses gives each cause a nextAction to follow. The run lists each input it cannot read & says how to fix it. X stopped showing who liked a post in 2024, so favoriters returns no rows.

Can I use the API, schedules & integrations?

Yes. Choose from 50 public tasks or the Xquik REST API. The API tab has Python, JavaScript & cURL examples. Apify schedules run Xquik's X (Twitter) Engagement Scraper on a cron. Agents use Apify MCP. Use latest unless you need an older build.

Where do I get help?

Open an issue in the Issues tab with the run ID. Free diagnostics in the key-value store explain runs that need attention. A run that gets no row back says why in its status.

Can I get a custom solution?

Yes. Describe what you need in the Issues tab. Xquik also offers a dashboard, a REST API, an MCP server & webhooks. Find Xquik's website on its Apify profile.