{ "data": { "id": "Ss97VOmxYmtGJCg6e", "userId": "18hhjLq6BGhhUQeIc", "name": "x-reply-scraper", "username": "xquik", "description": "Twitter replies scraper for X replies, comments & whole conversations from $0.00015 per delivered reply. Read Twitter replies without an account. Paste post URLs in bulk, use 25+ filters & export flat rows. World's fastest & cheapest X (Twitter) scraper service. Not affiliated with X Corp.", "isPublic": true, "createdAt": "2026-07-31T15:23:22.473Z", "modifiedAt": "2026-11-02T16:01:56.175Z", "taggedBuilds": { "latest": { "buildId": "Yn0GZOdX7K578A9Rb", "finishedAt": "2026-11-02T16:01:32.514Z", "buildNumberInt": 10200259, "buildNumber": "1.2.259" }, "build-1-2-179": { "buildId": "RNz60qKd0HMhxVp42", "finishedAt": "2026-09-27T07:23:10.626Z", "buildNumberInt": 10200179, "buildNumber": "1.2.179" } }, "stats": { "totalBuilds": 447, "totalRuns": 49947, "totalUsers": 825, "totalUsers7Days": 69, "totalUsers30Days": 165, "totalUsers90Days": 212, "actorReviewCount": 5, "actorReviewRating": 5, "bookmarkCount": 1, "lastRunStartedAt": "2026-11-02T20:34:53.930Z", "publicActorRunStats30Days": { "ABORTED": 34, "FAILED": 0, "SUCCEEDED": 39617, "TIMED-OUT": 0, "TOTAL": 39651 } }, "versions": [ { "versionNumber": "1.0", "sourceType": "SOURCE_FILES", "buildTag": "candidate-7d2b917eda-ctl" }, { "versionNumber": "1.1", "sourceType": "SOURCE_FILES", "buildTag": "candidate-40ea69e6bd-ctl" }, { "versionNumber": "1.2", "sourceType": "SOURCE_FILES", "buildTag": "latest" } ], "defaultRunOptions": { "build": "latest", "timeoutSecs": 0, "memoryMbytes": 256 }, "exampleRunInput": { "body": "{\"startUrls\":[{\"url\":\"https://x.com/OpenAI/status/2082577277246972300\"}],\"maxItems\":100}", "contentType": "application/json; charset=utf-8" }, "categories": [ "SOCIAL_MEDIA", "LEAD_GENERATION", "DEVELOPER_TOOLS" ], "isDeprecated": false, "title": "X (Twitter) Replies Scraper | $0.00015/Reply | Pay-Per-Result", "pictureUrl": "https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/18hhjLq6BGhhUQeIc-actor-wAusCMrm284Voaw86-DvWvyy5wt4-logo-dark-square-flat.png", "seoTitle": "Twitter Replies & Comments Scraper, No Account | Xquik", "seoDescription": "Scrape & read Twitter replies & comments without an account, at $0.00015 per reply. Paste post URLs in bulk & use 25+ filters. Not affiliated with X Corp.", "pricingInfos": [ { "minimalMaxTotalChargeUsd": null, "pricingModel": "PAY_PER_EVENT", "isPriceChangeNotificationSuppressed": false, "pricingPerEvent": { "actorChargeEvents": { "apify-default-dataset-item": { "eventTitle": "replies", "eventDescription": "replies", "isOneTimeEvent": true, "eventTieredPricingUsd": { "FREE": { "tieredEventPriceUsd": 0.015 }, "BRONZE": { "tieredEventPriceUsd": 0.00015 }, "SILVER": { "tieredEventPriceUsd": 0.00015 }, "GOLD": { "tieredEventPriceUsd": 0.00015 }, "PLATINUM": { "tieredEventPriceUsd": 0.00015 }, "DIAMOND": { "tieredEventPriceUsd": 0.00015 } }, "isPrimaryEvent": true } } }, "startedAt": "2026-07-31T15:37:00.000Z", "createdAt": "2026-07-31T15:36:51.768Z", "apifyMarginPercentage": 0.2, "notifiedAboutChangeAt": "2026-08-05T15:06:17.182Z" }, { "minimalMaxTotalChargeUsd": null, "isPPEPlatformUsagePaidByUser": true, "pricingModel": "PAY_PER_EVENT", "isPriceChangeNotificationSuppressed": true, "pricingPerEvent": { "actorChargeEvents": { "apify-default-dataset-item": { "eventTitle": "replies", "eventDescription": "replies", "isOneTimeEvent": true, "eventTieredPricingUsd": { "FREE": { "tieredEventPriceUsd": 0.00015 }, "BRONZE": { "tieredEventPriceUsd": 0.00015 }, "SILVER": { "tieredEventPriceUsd": 0.00015 }, "GOLD": { "tieredEventPriceUsd": 0.00015 }, "PLATINUM": { "tieredEventPriceUsd": 0.00015 }, "DIAMOND": { "tieredEventPriceUsd": 0.00015 } }, "isPrimaryEvent": true } } }, "createdAt": "2026-08-17T12:32:32.619Z", "startedAt": "2026-08-17T12:32:32.619Z", "apifyMarginPercentage": 0.2 } ], "notice": "NONE", "isCritical": false, "isGeneric": false, "hasNoDataset": false, "isSourceCodeHidden": true, "standbyUrl": null, "actorPermissionLevel": "LIMITED_PERMISSIONS", "readmeSummary": "## X Reply Scraper\n\nX Reply Scraper is a web scraping Actor that collects public replies, comments and complete conversation threads from X (Twitter). It accepts post targets, post IDs, profile targets and bulk lists to extract structured reply rows that include reply text and timestamps, language, conversation ancestry (parent/root/depth), author profile metadata, engagement metrics (likes, replies, reposts, quotes, views, bookmarks), entities (hashtags, mentions, cashtags, URLs, video timestamps), media metadata and variants (images, videos, GIFs, alt text, sizes, availability), content labels and notices (community notes, content disclosures, soft interventions), edit and availability history, source app/context and contextual fields for live events and conversations. The Actor supports multiple collection strategies for coverage, scope and depth controls for direct vs nested replies, sorting by relevance/date/likes, pre-output filtering by keywords, entities, author signals, engagement, media and time ranges, deduplication across targets, resumable runs via saved cursors, robust diagnostics and run reports that explain stop reasons and continuation actions, and multiple output modes and layouts (compact/full/rich/raw; flat or nested; configurable field naming and column shaping). Filters run before results are written so outputs are delivered as matching, deduplicated, structured rows ready for downstream analysis.\n\n## Use cases\n\n- Measure sentiment and customer feedback under brand and product posts.\n- Rank the most liked replies and comments under a viral post.\n- Find leads who ask questions or express needs in public replies.\n- Review replies for moderation, spam and abuse detection.\n- Rebuild whole conversations for research and AI training datasets.\n- Track how an account replies to its customers over time.\n- Scrape bulk post replies across many targets in one run.\n- Rebuild nested conversation threads with full ancestry.\n- Sort and rank replies by likes, newest or oldest.\n- Remove spam or filter replies by language, keywords, hashtags or author signals.\n- Collect verified or media-containing replies for curated datasets.\n- Collect a user's reply timeline instead of a single post's replies.\n- Build reply datasets for AI agents, RAG datasets, LLM archives or CRM lead extraction.", "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQC9xMSE52Y2TJE4/V0qm1vKukeeo08xzfgW23JlY1bSbI37Ce/cvi+cNbZtObAd2TySmQPnbkzQO6PCnIaUNL2R/FZuLPK+AtDwf3U5O1Pazl4XpSODD0vB+8oNeBvAc/Cu6DMTH0XnapuGCRrOdFm0fygOKVwJRH3Bb5H5xcxJEA1guowSMYGyq3V0ChuRljoefyOhcteixTUUn+kXTQQpOvPaZIxYqrx7NEGrp0gFvjdj/KBgOyEZHjnZce5QeFp4J9lBX7A7YjCmce5fUD2GDZCcCJnbAb7ze/QroVHXijcTOSv2DEFYa/u+ShfQhfRcFd+/Bj8XdAaBRmJGBkdV \n" } }