Extract Facebook Data
Public Page, post, and comment data from Facebook.
Tell AuraCrawl what you need from Facebook in plain language — "every post and comment thread on these 60 brand Pages," "reaction counts on this campaign since launch," "comment sentiment on a competitor's announcement." Facebook serves its content through an internal GraphQL layer whose queries are versioned and rotated, and comment threads paginate through cursors that expire. We track both so a Page you watched last month is still readable this month.
What a response looks like
REQUEST
ask“Tell AuraCrawl what you need from Facebook in plain language — which entities, which fields, how often. That sentence is the spec.”
{
"page": "bluetokaicoffee",
"page_name": "Blue Tokai Coffee Roasters",
"category": "Coffee shop",
"followers": 284913,
"likes": 271408,
"post": {
"post_id": "122177242910888613",
"message": "The Monsoon Malabar is back. Limited roast, ships Monday.",
"posted_at": "2026-08-14T09:20:00+05:30",
"reactions": {
"like": 1842,
"love": 391,
"wow": 44
},
"comments_count": 218,
"shares": 63
},
"comments": [
{
"author": "Meera R.",
"text": "Been waiting all year for this.",
"likes": 24
}
]
}What you can extract
- Public Page metadata: name, category, follower and like counts
- Post text, media type, and publish timestamps
- Reaction breakdowns by type, not just a single total
- Comment and reply threads, including nested replies
- Share counts and engagement deltas across scheduled runs
- Recurring collection across hundreds of Pages on one cadence
PIPELINE Aura Strike carries the authenticated session and the rotating GraphQL document ids Facebook requires; Aura Build flattens paginated comment threads into one record per comment.
Request Facebook data.
Describe the fields, the volume, and the cadence. We scope the extraction and deliver a sample before you commit.