threads-comment-scraper 0.1.1

Scrape comments and replies from Threads by keyword

Threads Comment Scraper

A keyword-based CLI scraper for Threads comments and replies — no account required.

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Features

• Keyword search: search Threads by any keyword and collect all matching comments and replies
• No account required: session tokens are fetched automatically via headless browser on first run
• Auto token refresh: detects expired tokens after 3 consecutive 403s and silently refreshes via headless Chromium
• Text cleaning: removes URLs, @mentions, #hashtags, emoji, and normalizes whitespace
• Deduplication: skips posts already scraped, tracked across restarts via checkpoint file
• Resume support: interrupted scrapes continue from where they left off
• Configurable via CLI: limit, output file, delay range, minimum comment length, checkpoint toggle
• CSV output with columns: post_code, post_id, post_text, comment_id, comment_text, username, like_count, reply_count, timestamp, keyword, type

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Installation

pip install threads-comment-scraper
playwright install chromium

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Usage

# Scrape by inline keywords
threads-scraper --keywords "politik indonesia,pilkada"

# Use a keywords file
threads-scraper --keywords-file keywords.txt

# With all options
threads-scraper --keywords-file keywords.txt \

  --output data.csv \
  --limit 5000 \
  --delay-min 2 \
  --delay-max 5 \
  --min-length 15

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keywords.txt format

Lines starting with # are treated as comments and ignored.

# Politik
politik indonesia
pilkada

# Ekonomi
ekonomi indonesia
bbm naik

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CLI reference

Argument	Default	Description
--keywords	—	Comma-separated keyword string
--keywords-file	—	Path to .txt file, one keyword per line
--limit	unlimited	Maximum total comments to collect
--output	output.csv	Output CSV file path
--min-length	10	Minimum character count per comment
--delay-min	2.0	Minimum seconds between requests
--delay-max	5.0	Maximum seconds between requests
--no-checkpoint	off	Disable resume behavior (start fresh)

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Output CSV columns

Column	Description
post_code	Original post shortcode from the URL (e.g. DYeZUeiElWy)
post_id	Numeric media ID used by the GraphQL API
post_text	Text of the top-level post being replied to
comment_id	Numeric ID of the comment or reply
comment_text	Cleaned comment/reply text
username	Poster's Threads username
like_count	Number of likes on the comment
reply_count	Number of direct replies to the comment
timestamp	Unix timestamp of the comment
keyword	The search keyword that found this post
type	comment (top-level) or reply

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Notes

• For educational and research purposes only
• Respect Threads' Terms of Service
• Use reasonable delays (--delay-min, --delay-max) to avoid overloading servers
• The first run launches a headless browser to capture fresh session tokens, this is normal and takes ~10 seconds

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Credit

Made by @galihkjaya @Nathaniel7