Platform · Facebook Pages

Facebook Pages Data Scraping

A Page is an organisation speaking in public. A profile is a person. Only Pages are in scope.

Facebook Pages data covers the public Pages of brands, businesses and organisations on a client's list, as visible logged out: posts, reactions, comments and shares where shown. Personal profiles, groups, events of individuals and messages are never collected. Meta's Content Library is a researcher tool in a secure environment and is not used; Page records carry a null_reason wherever the logged-out view hides a field. Only publicly visible content is collected, without accounts or logins, commenters are handled in aggregate, and every empty field carries a reason.

The logged-out view of a Page shows less than the logged-in one. The difference is recorded, not worked around.

Get a free sample See sample data

Free pilot on your own Facebook Pages list, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.

facebook_pages_sample.jsonl LIVE FEED

{"page_id":"fb-page-2201","page_category":"Retail","page_followers":880000} {"reactions_by_type":"like 1200; love 210; wow 12","share_count":95} {"comment_count":null,"null_reason":"platform_restricted"}

illustrative sample rows · public Pagespages, not people · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Facebook Pages or its owners. Facebook Pages and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

Our Data Powers

B2C Marketplace

amazon

D2C + Marketplace

NYKAA

D2C + Marketplace

Walmart

FMCG Marketplace

udaan

Food Delivery

Uber Eats

Quick Commerce

blinkit

Taxi Aggregator

Uber

E-Commerce

Tmall

Facebook Pages at a glance

How we handle Facebook Pages specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Scope: Public Pages of organisations
Access: Logged-out view
Excluded: Profiles, groups, messages
Content Library: Researchers only; not used
Reactions: By type where shown
Comments: Aggregate only
Hidden fields: null_reason: platform_restricted
Refresh: Daily

Platform specifics

Pages, not people

These are the reasons a Facebook Pages dataset needs its own handling rather than a shared retail schema.

Page records

Pages show posts with reactions broken down by type, comments and shares, to differing degrees when logged out.

page_id and page_category as shown.
reactions_by_type where shown; totals otherwise.
null_reason for fields the logged-out view hides.
ad_library_ref linking to Meta's public ad library where relevant.

Ads, and what we do not do

Ad library

Meta's public ad library is a separate source for ads; ad records are kept apart from organic posts. See our Instagram page.

Empty fields

Every empty field says why — not_published, not_obtainable or platform_restricted — as the social media hub describes.

What we do not do

Collect personal profiles, groups or messages, log in, use researcher tools, or profile commenters.

Scope

What we collect on Facebook Pages, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

Public Pages of organisations
Logged-out view only
Posts with reactions by type
Shares and comments counts
Hidden fields with null_reason
Ad library links kept apart
Comments in aggregate
Page category as shown
Daily refresh

❌ What we do not, and why

Personal profiles
Groups or messages
Logins
Researcher tools
Commenter profiles

Core Facebook Pages fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
post_id / platform	Stable ID
page_id / page_name	Public Page
page_category	As shown
posted_at	UTC
post_text	As shown
reactions_by_type	Where shown
comment_count / share_count	As shown
page_followers	At capture
ad_library_ref	Where relevant
comment_sentiment	Aggregate
null_reason	Every empty field

Use cases

What teams do with Facebook Pages data

Brand Page benchmarking

Posts and reactions.

Customer care signals

Comment themes, aggregated.

Campaign tracking

Organic posts beside ad library entries.

Local business pages

Chains' location Pages.

The 24-hour sample — run on your sources, not ours

Send us a Facebook Pages item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Facebook Pages is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Facebook Pages data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what social media data covers, and a Facebook Pages-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Facebook Pages data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

Never. Only public Pages of organisations.

No.

The logged-out view hides them. We mark them platform_restricted.

No. It is a researcher tool.

No.

It depends on Pages and refresh.

Talk to us.

See real Facebook Pages data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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