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URL: https://apify.com/scrapio/twitter-x-reply-scraper

โ‡ฑ Twitter X Reply Scraper ยท Apify


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Twitter X Reply Scraper

๐Ÿ’ฌ Twitter/X Reply Scraper extracts tweet replies at scaleโ€”usernames, text, timestamps, IDs & thread context. ๐Ÿ”Ž Perfect for social listening, sentiment, competitor research & engagement tracking. โšก CSV/JSON export for dashboards, BI & automation. ๐Ÿš€

Pricing

from $3.99 / 1,000 results

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Developer

๐Ÿ‘ Scrapio

Scrapio

Maintained by Community

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a month ago

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Twitter / X Reply Scraper (Apify Actor)

Scrapes Latest search results via X GraphQL SearchTimeline, then loads direct replies per tweet with TweetDetail (same flow as the standalone scraper: dynamic query IDs from main.*.js, x-client-transaction-id from XClientTransaction, controller_data from the first timeline page).

Input

FieldDescription
startUrlsStart URLs โ€” X search URLs (q= is parsed as the query). Legacy urls still accepted.
maxSearchResultsMaximum Search Results โ€” max tweets per start URL (default 5).
maxRepliesMaximum Replies โ€” max direct replies stored per tweet (default 5).
authToken / ct0Session cookies, or env AUTH_TOKEN / CT0.
proxyConfigurationuseApifyProxy: false โ†’ direct first, then DC โ†’ residential on blocks. true โ†’ Apify proxy from the start.

Output (dataset)

Each item: tweetLink, tweetContent, tweetDate, handle, counts, repliesData (nested reply objects).

Run locally

cd Twitter-X-Reply-Scraper
pip install-r requirements.txt
# Set AUTH_TOKEN and CT0, then:
apify run

Data is only from public X content; you are responsible for compliance with Xโ€™s terms and applicable law.

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