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sherlock-project
sherlock
Python2019–2025
sherlock-project / sherlock

sherlock

Hunt down social media accounts by username across social networks

17Distinct people
17Mentions
0Explicit recommenders
110.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Hunt down social media accounts by username across social networks

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 12:45:45 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year17 dated mentions

Observed mentions: 2019-07-17 11:26:25 UTC to 2025-10-30 16:48:31 UTC.

02462019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 2 mentions; 2 submissions, 0 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 6 mentions; 0 submissions, 6 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC220
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC514
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC606
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC303

What Hacker News says

1 sources
Hello, I do some webscraping at my job using python, but I've found that scraping social media for non-specific data is often the same amount of work as manual searching or using google search tools like "site:". With that said, and similar to anigbrowl's comment, without a specific goal in mind you will be hard pressed to solve your problem. Social media scraping varies heavily by platform in terms of what information is available to scrape (without brute force). If you want some social media OSINT tools that are already built in python, Black Arch has a list of open-source tools that you can access and use: https://blackarch.org/social.html If you are trying to identify someone's social media, Sherlock or Spiderfoot are commonly cited, but again, I don't think that these tools save that much as opposed to just using Google's search logi
Read the rest
In Ask HN: How do I build a robust social media profile data scraper?

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