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Glossary · Scraping

What is social media scraping?

Short answer

Social media scraping is the automated collection of public data from social platforms, such as profiles, posts, comments, hashtags and view counts, turned into structured data a program can use.

Updated 25 Sep 20262 min read

From public page to data
  1. Public pages

    Profiles, posts, comments and search results anyone can see.

  2. Fetch

    Request the page, or the data behind it.

  3. Parse

    Pull out the fields you need.

  4. Structured data

    Ready for a program to use.

    profilespostscommentstranscripts

01

What gets collected

  • 01

    Profiles

    Name, bio, follower and following counts, verification.

  • 02

    Posts and videos

    Captions, publish dates, likes, comments, shares, views.

  • 03

    Comments and replies

    Text, author, likes and threading.

  • 04

    Search results

    Posts for a keyword, hashtag, sound or location.

  • 05

    Transcripts

    The spoken words in videos.

02

What teams use it for

  • Creator research

    Example
    Vetting an influencer’s real engagement before a campaign.
  • Brand monitoring

    Example
    Catching complaints about a product on Reddit and X.
  • Market research

    Example
    Reading thousands of comments to find what buyers ask for.
  • Trend detection

    Example
    Spotting a rising hashtag or sound early.
  • AI agents

    Example
    Letting an assistant look up live social data mid-task.

03

How it works

A scraper requests a public page or the data behind it, parses the response and saves the fields it needs. That sounds simple, but social platforms are some of the hardest sites to collect from:

  • Pages are built with JavaScript, so the data is often not in the first HTML response.

  • Layouts and internal data formats change without notice, breaking parsers.

  • Platforms rate limit and block automated traffic by IP address, headers and behaviour.

  • Long lists need pagination, and some history is simply not served.

This is why many teams stop running their own scrapers and use a data API that handles collection, parsing, retries and schema changes for them.

04

Scraping responsibly

  • Collect only public data, and never log in with fake accounts to reach private content.

  • Take only the fields you need, and treat personal data under privacy law such as GDPR.

  • Keep request rates reasonable so you do not burden the site.

  • Respect copyright in the content itself; facts like counts are different from republishing someone’s work.

The legal picture depends on where you are and what you collect. See Is web scraping legal? for the key cases.

In Monocrawl

Social data as an API

Skip the scraper maintenance.

Monocrawl returns public social, search and web data as structured JSON: one key, one envelope and one cursor pattern across platforms. When a platform changes its pages, the fix happens on our side, not in your code.

Failed or empty calls are not charged, and every response says what it cost in credits_used.

Questions

Common questions

Is scraping the same as using an API?

An official API is a door the platform built for you, with its own rules. Scraping reads what the platform already shows the public. A data API sits in between: it does the collecting and gives you an API to call.

Can I scrape private accounts?

No. Private accounts and content behind a login are off limits. Only collect what anyone can see without signing in.

Why do my scrapers keep breaking?

Platforms change their page structure and anti-bot rules often. Every change can break a parser until someone updates it.

Sources

  1. OAIC: Global expectations on data scraping (24 Aug 2023)

Try it on real data

One key for public data.
Social, search and web.

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