Several Surfaces, One Run
Hand AllyHub a mixed list — a few pages, a public group or two — and it works through them in one job, returning rows in the same shape whatever surface they came from.
Ask for what you need from Facebook’s public side and get one clean table back — no template to pick, no API, no code.
Facebook keeps what you need in three different places and gives you a feed to read it in. Name the pages and public groups you care about and AllyHub returns one set — the page details, the posts with their numbers, the group threads — filtered to your scope and in the format you asked for.
Hand AllyHub a mixed list — a few pages, a public group or two — and it works through them in one job, returning rows in the same shape whatever surface they came from.
Each post comes back as a row: the text, whether it was a photo, video, or link, the date it went up, and its reaction, comment, and share counts.
For groups anyone can read without joining, AllyHub pulls the posts and the replies under them. Groups that need a membership approval stay outside what it will touch.
Give it a keyword, a date window, or a minimum reaction count and the filter applies before the crawl, so what lands in your file is already the part you asked for.
Name, category, follower and like counts, website, and whatever contact details the Page has chosen to publish — read straight off its public profile, left blank where it publishes none.
Download it as CSV, JSON, or Excel, columns in the same order every run — or stay in the run and have AllyHub cluster the posts and surface what keeps coming up.
Point AllyHub at the public Facebook pages and groups you care about, and get one structured file back.
Paste page URLs, public group links, or just describe what you’re researching. Add whatever narrows the job — terms, dates, an engagement floor. Nothing to install.
It reads each source in turn — a Page’s public details, its posts with reaction, comment, and share counts, a public group’s threads and their replies — into one table.
Pull the file down, or hand the set to analysis for a comparison across pages. Save the run as a Playbook and next month’s pull starts without setup.
Most Facebook scrapers make you pick the right tool first, then pay to keep it running.
The big scraper stores hand you a shelf of separate actors — one for pages, one for posts, one for groups — and the first job is guessing which one answers your question. Describe the question to AllyHub instead and it goes to whichever public surface holds the answer.

A login wall is an answer, not an obstacle. AllyHub reads Facebook the way a visitor does, so private profiles, closed groups, and friends-only posts never enter your file — and you never hand over credentials to get them.

The other route is a running cost: a developer account with request caps, a residential proxy plan, a CAPTCHA budget, and a parser that breaks when Facebook changes a class name. None of that stack is yours to buy or maintain here.

Month one, AllyHub is working out how each page is built. Month two it isn’t — the saved Playbook goes straight to the reading, the columns land where your sheet expects them, and the run needs less from you. Your AllyHub never starts from scratch again.

Researchers, brand and competitive teams, agencies, and data teams — anyone whose Facebook question doesn’t fit on one surface.
How a category talks about itself is split across brand Pages, the posts under them, and the groups where buyers compare notes — and reading all three by scroll costs a week. Pull them in one job and the language, the recurring questions, and the gaps sit in the same table, ready to count rather than to skim.
You can describe what a rival posts but not what people say back, and the two live in different places. Track their Page and the open communities in your category on the same schedule, and a shift in what they push shows up next to how it actually landed.
A new-business pitch needs a credible read on a prospect’s public Facebook presence by Thursday, and nobody is billing for scrolling. Run the pull once, hand the analysis the same set, and the audit arrives as sortable data you can chart, not a folder of screenshots.
The in-house scraper works until Facebook ships a redesign, and then it’s your Tuesday. Take typed rows on a schedule with the columns in a fixed order, so the warehouse load stays boring and nobody owns a parser.
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What people ask before pulling Facebook data — what’s in scope, what it costs, and which tool to reach for.
A Facebook scraper reads the parts of Facebook that are open to any visitor — a Page’s details, the posts on it, the threads in an open group — and writes them out as rows instead of leaving you to scroll for them. AllyHub works from a plain-language brief, covers several sources in the same job, and can carry the result into analysis without a second tool.
Yes — pulling one public page runs on the free plan, with the fields Facebook shows on it. Bigger jobs are what the paid plans cover: long post histories, several sources at once, monthly reruns, and the analysis pass.
Anything a visitor can open without logging in: Pages and their public details, the posts on them, and groups whose content is readable without joining. Private profiles, closed and secret groups, and anything behind a friend request are out, and AllyHub will not ask you for a Facebook login to reach them. What you do with public data afterwards is yours to square with Facebook’s terms and the rules where you operate.
No. AllyHub reads the pages themselves, so there is no app review, no access token, and no request quota to plan around — and nothing to write. Teams that want it automated can wire the export into their own pipeline, but you do not need Facebook’s API to start.
Start here when the question spans surfaces, or when you are not sure where the answer lives. If you already know: Facebook Post Scraper for one page’s post history in depth, Facebook Group Scraper for full comment threads inside public communities, and Facebook Marketplace Scraper for listings and prices.
Most are a single-purpose actor plus a proxy bill: you configure it, it returns a file, and next month you configure it again at the same price. AllyHub takes the brief in plain language, covers the surfaces in one job, keeps the workflow as a Playbook, and compounds with every task — so the monthly pull becomes a habit instead of a project.