How to Use the Facebook Apps API in Your Agent

Give your agent public Facebook Page details and a recent-post sample. Paste this into your agent:

Set up https://monid.ai/SKILL.md, and then use Monid to read NASA's public Facebook Page details and recent posts. Inspect prices first, use one Page, and preserve any incomplete or coverage flags. Return a table of followers, returned posts, reactions, shares and comments. Exclude personal information.

Two public reads, one evidence table. Setup and time savings depend on your existing environment.

Developers searching for the Facebook apps API often start by copying a Page's public details and a post's engagement into separate files. Those are two different records: a follower count belongs to the Page, while reactions belong to a particular post. Combining them without a collection date creates an ambiguous report.

A browser view does not give your agent a stable table. A script that treats every successful response as a complete feed creates another problem: it turns a small returned sample into an unsupported claim about all activity.

This guide uses Monid, the OpenRouter for agent tools, to produce a small public-data evidence table through one key and balance. It covers reading Page details, fetching recent posts, and preserving coverage in your export. These tools read public data; they do not create Facebook apps, issue Facebook access tokens, or publish content.

Here is the finished preview from November 14, 2026:

How to use the Facebook apps API with Monid

Start with one public organization Page, inspect both input formats, and collect the two responses independently. Monid supplies the tool connection; your application decides how to store and interpret the data. An endpoint is a callable tool address with its own inputs, response and billing rule.

Step 1. Install and add your key

For agents: Get an API key at app.monid.ai, then give your agent the setup instruction below and provide the key through its credential mechanism. The agent quickstart explains the connection.

set up https://monid.ai/SKILL.md

For humans: Install the CLI and save your key under a local label. The CLI quickstart covers setup.

npm install -g @monid-ai/cli
monid keys add -k <your-api-key> -l main

Step 2. Choose one public Page

Use NASA's public Page as the small test, then inspect the Facebook Page metadata tool. Its startUrls body accepts an array of URL objects; keep that array to one object because each input increases the result-based cost.

monid discover -q "facebook api" -l 10 -j --include-unavailable
monid inspect -p apify -e /apify/facebook-pages-scraper

Step 3. Read the Page details

Pass the Page URL in the JSON body and wait for completion. This exact input returned one Page record in our test; no invented limit parameter is needed because the schema has none.

monid run -p apify -e /apify/facebook-pages-scraper -w \
  -i '{"startUrls":[{"url":"https://www.facebook.com/NASA/"}]}' -j

Step 4. Read the recent-post sample

Inspect the recent Facebook posts tool, then supply the public Page handle as a query parameter. This is a GET tool, so copying the previous command's body format would be wrong; the returned sample included one post and an explicit incomplete flag.

monid inspect -p litescrape -e /facebook/page-posts
monid run -p litescrape -e /facebook/page-posts \
  --query '{"handle":"NASA"}' -w -j

Step 5. Keep the collection evidence

Retain the response together with its completion time, status and billing details before creating a display table. Keep the Page record and the posts collection in separate storage objects so a missing post response cannot overwrite a successful Page read.

The practical stopping rule is simple: first confirm the Page identity, then check coverage, then export the fields needed for the report. More calls do not fix a consumer that silently discards the warning attached to the first response.

Why keep Page details separate from post activity?

Page metadata describes the account; post engagement describes one item at one collection time. A large follower count does not tell you how many posts the collector retrieved, and a single post's reactions do not measure the account's total activity.

Preserve the two response shapes

The Page call returned an output array containing one object. That object included title, pageId, pageUrl, categories, followers, likes, websites and showVerifiedBadge.

The posts call returned an output object with source_url, coverage, incomplete, posts and billed. Engagement lived inside each post's engagement object. Your consumer needs to handle both structures explicitly rather than assuming that every provider returns a flat list.

Keep warnings beside the numbers

The posts response had coverage: "initial" and incomplete: true. Display those fields beside the sample count, including in a spreadsheet export. A status of COMPLETED means the tool finished its request; the coverage flag describes what the delivered data represents.

Our editorial recommendation is to label this output “returned post sample.” Do not label it “all NASA posts,” “daily posting volume,” or “total engagement.” None of those statements follows from one incomplete response.

Preserve collection timestamps separately from creation_time, which belongs to the post itself. The first records when you observed the data; the second records when the content was created. Mixing those dates corrupts freshness checks and recurring comparisons.

The 3 ways to feed public Facebook data into an agent

Choose the route by what your application already has and who will maintain the collector. This is the Monid blog, and the following comparison describes integration choices rather than an accuracy ranking.

Connect through the shared tool layer

Use the two Facebook tools when a shared key and balance fit your agent's existing workflow. Discovery and inspection are free, while execution is paid according to the selected tool. Check the particular tool each time you change the job rather than treating “Facebook” as one universal interface.

Keep an existing provider connection

Keep your direct Apify integration when your team already operates its Page collection there. Adding a second route only makes sense when it solves a separate integration need. Access through a shared balance does not turn the underlying source into a different dataset.

Own the collection code

Write your own collector when controlling the collection implementation is itself a requirement. You also take responsibility for input handling, response parsing and changes in the pages you read. For a small evidence check, first decide whether maintaining collection code is part of the deliverable or a distraction from it.

How to read public Facebook Page and profile data

Export the observed values with their source and coverage, then separate factual measurements from your decisions. The following table contains only values returned by our two successful calls on November 14, 2026; no individual names, profile pictures or contact details appear.

Read the measured Page and post output

Elapsed times above are completion minus creation timestamps from the response envelopes. They describe these requests, including the interval after creation, and are not a latency guarantee.

Interpret the public Page fields

A Facebook Page record is a public organization snapshot, not a personal profile viewer or a list of profile visitors. In our record, the Page title and category described the organization, the websites array contained public website links, and the verified badge field was true. The messenger field was null; keep that null separate from the numeric likes value.

Use the Page URL and Page ID to identify the Facebook Page, then choose the public fields the table needs. Profile pictures, contact fields and website links serve different jobs from follower counts. This workflow does not retrieve private profiles or identify who viewed a profile, and the public Page input should not be repurposed for either task.

Decide what the evidence supports

The business conclusion is narrow: the public Page can be identified, its follower count can be recorded, and the delivered post supplies an engagement observation. The incomplete sample cannot support a ranking of posting frequency or a complete account performance report.

The Page response also returned likes: 0. Preserve that raw value without using it as a substitute for followers or asserting that the organization has no audience. These fields have different names and different roles; a report should not collapse them into an invented “audience” metric.

For more detail on public Page fields and profile distinctions, use the Facebook Page and profile reading guide. Here the focus is the join between account context and a coverage-aware content sample.

Design the export around the decision

Keep Page identity and collection time as source columns, then add the observed follower count and post engagement fields. Add the returned coverage label and incomplete flag to every exported sample row. Treat the resulting columns as your application's export design, rather than fields the provider promised to emit together.

Store raw responses in a restricted location and export only the columns your report needs. In this example the agent needs organization-level measurements, so contact information and image URLs add no value to the table. A small export is easier to review and less likely to carry unrelated fields into another system.

How much does a small Facebook data check cost?

The Page call billed one result, and the posts call billed one request. Monid exposes each price before execution through free inspection; the current tool catalog is the place to choose a tool before scaling the input.

The Page metadata call was $0.0031 per result, Verified 2026-11-14. Our single-result request billed that amount.

The recent-post request was $0.00015 per call, Verified 2026-11-14. Its response reported 150 microdollars, matching the unit price.

The two-call total was $0.00325, Verified 2026-11-14. That is the measured check, not a price for a complete account archive or a monthly monitoring service.

Scale the input deliberately

The Page schema has no result-limit parameter: constrain the input array instead. The posts schema accepts a handle and optional timeout, with no result-count control. Do not add unsupported pagination or assume a larger requested limit would remove the incomplete flag.

Neither test returned an empty result or a failure. These successful charges establish the billing for these requests; they do not establish a universal refund rule. Keep a budget cap in your surrounding application and read each response's billing fields.

When to use the Facebook Ad Library instead

Use another route when the job is app administration, publishing, private account access or a complete historical archive. The two Monid tools demonstrated here deliver public reads, and the recent-post result is explicitly incomplete.

Separate advertising from organic posts

The Page record returned a pageAdLibrary object with an ID, plus an ad_status text field. Neither contains ad creative, ad copy, campaign run dates or a list of active ads. An advertising archive needs a different collection and a different table from the public Page and organic-post sample shown here.

Use the Litescrape documentation for a direct provider connection when that already serves your team. Advertising research remains a separate job. A Page's returned ad_status is not an archive of creative, copy or run dates. The Facebook Ad Library JSON feed guide covers that advertising workflow; keep it separate from a report about public Page details and organic posts.

Which tool should you use for each job?

Use the smallest tested tool that returns the evidence your table needs. Both choices below completed successfully in our small public-organization check.

Conclusion

You now have a repeatable way to collect public Page context, attach a returned post sample, and preserve the warning that limits its interpretation. Monid connects the tools through one key and balance; your export keeps their evidence distinct. We make no setup-time or hours-saved estimate because this check measured requests rather than a fresh installation or a manual baseline. Choose this route for public reads whose coverage fits the decision, and you get a report that says exactly what its numbers support.

FAQ

Published November 2026.