Learnitpedia APIlearnitpedia.com ↗
Retrieve Learnitpedia Technologies job posts via one endpoint. Get hiring status, pay terms, application form fields, age requirements, and full article sections.
What is the Learnitpedia API?
The Learnitpedia API exposes a single endpoint, get_job_posting, that returns 10 structured fields from any Learnitpedia Technologies job or opportunity post. Pass a URL slug to retrieve the post title, canonical URL, ISO 8601 publication and modification timestamps, hiring status, embedded application form details, pay/rate terms, daily output targets, age requirements, and the full article broken into headed sections.
curl -X GET 'https://api.parse.bot/scraper/a4d05379-9a1f-4a4b-9d00-38af4794ad4f/get_job_posting?post_slug=blog-content-writing-job' \ -H 'X-API-Key: $PARSE_API_KEY'
Typed, relational, agent-ready
A generated client with real types, enums, and the links between objects — the structure a flat JSON response can't carry. Autocompletes in your editor and reads cleanly to coding agents.
- Fully typed · autocompletes
- Objects link to objects
- Typed errors & pagination
Typed Python client. Set up the SDK in your uv project, then pull this API’s typed client:
uv add parse-sdk uv run parse init uv run parse add --marketplace learnitpedia-com-api
uv run parse add --marketplace pulls a pinned snapshot of this canonical API — it won’t change underneath you. To customize it, subscribe and swap to your own copy.
"""Walkthrough: Learnitpedia job-posting SDK — fetch a posting and inspect its parts."""
from parse_apis.learnitpedia_com_api import Learnitpedia, PostNotFound
client = Learnitpedia()
# Fetch a job posting by its URL slug.
try:
posting = client.job_postings.get(post_slug="blog-content-writing-job")
except PostNotFound:
print("No posting found for that slug.")
raise
print(posting.title, "—", posting.hiring_status)
print("Published:", posting.published_at, " Modified:", posting.modified_at)
# Walk the pay/rate terms sections.
for term in posting.rate_terms:
print(f"[{term.level}] {term.heading}")
print(term.text[:120])
# Inspect the embedded application form and its fields.
if posting.application_form is not None:
form = posting.application_form
print(f"Apply via {form.method} to {form.destination_url}")
for field in form.fields:
print(f" {'*' if field.required else ' '} {field.label} ({field.type})")
# Show article sections count and first heading.
if posting.sections:
print(f"{len(posting.sections)} article sections, first: {posting.sections[0].heading}")
print("exercised: job_postings.get")
Returns one Learnitpedia job post (one page, one round trip plus an automatic browser-check handshake) identified by its URL slug. Output grain is a single post object: title, canonical url, published_at and modified_at (ISO 8601 with site offset, from the page's structured data), hiring_status ('hiring' or 'closed', derived from the post's own hiring wording, null when the post states neither) with the matched hiring_statement, application_form (destination_url the embedded application form posts to, HTTP method, form_key, and its visible fields with label, input name, type, options for selects/radios, and required flag; null when the post embeds no form), rate_terms and daily_target (the article sections whose headings concern pay/commission/rate/salary or daily targets, each as heading, level and flattened text; empty arrays when the post has no such sections), age_requirement (the age-related phrase found in the article text, null when the post states none, with age_requirement_stated as the explicit flag), and sections (every heading-delimited section of the article body, excluding the form, newsletter and related-post widgets). A slug the site does not know returns stale_input (input_not_found).
| Param | Type | Description |
|---|---|---|
| post_slugrequired | string | URL slug of the post on the site, lowercase words joined by hyphens, e.g. blog-content-writing-job. |
{
"type": "object",
"fields": {
"url": "canonical post URL string",
"title": "post title string",
"sections": "array of {heading, level, text} for every article section in page order",
"rate_terms": "array of {heading, level, text} sections describing pay/commission/rate terms",
"modified_at": "ISO 8601 last-modified timestamp, may equal published_at",
"daily_target": "array of {heading, level, text} sections describing the daily output target",
"published_at": "ISO 8601 original publication timestamp from the page's structured data",
"hiring_status": "'hiring' | 'closed' | null, derived from the post's hiring wording",
"age_requirement": "age-related phrase from the article, or null when the post states none",
"application_form": "object {destination_url, method, form_key, fields[]} for the embedded application form, or null",
"hiring_statement": "the phrase the status was derived from, null when none",
"age_requirement_stated": "boolean, true only when an age phrase was found"
},
"sample": {
"data": {
"url": "https://learnitpedia.com/blog-content-writing-job/",
"title": "Blog Content Writing Job",
"sections": [
{
"text": "This is a hands-on content writing role, not a “copy and paste” job. ...",
"level": "h2",
"heading": "What the Blog Writer Role Actually Involves"
}
],
"rate_terms": [
{
"text": "Writing opportunities at Learnitpedia are handled on a per-article (per-post) basis. In other words, you are paid a commission for each approved post you write — not a fixed monthly salary. ...",
"level": "h2",
"heading": "How Payment Works: Commission Per Post"
},
{
"text": "No. This is a per-post commission opportunity. You are paid for each approved article you write, with the rate communicated for each assignment.",
"level": "h3",
"heading": "Is this a salaried job?"
}
],
"modified_at": "2026-09-10T14:34:05+01:00",
"daily_target": [
{
"text": "To keep our blog publishing consistently ... this role involves a daily target. Writers are expected to complete and submit a set number of articles (or article milestones) each working day, as agreed with the editorial team. ...",
"level": "h2",
"heading": "Meeting Up With the Daily Target"
}
],
"published_at": "2026-09-10T14:33:52+01:00",
"hiring_status": "hiring",
"age_requirement": null,
"application_form": {
"fields": [
{
"name": "item_meta[32]",
"type": "text",
"label": "Name",
"options": null,
"required": true
},
{
"name": "item_meta[38]",
"type": "radio",
"label": "Employment Desired",
"options": [
"Full-time",
"Part-time",
"Full- or Part- time"
],
"required": true
}
],
"method": "POST",
"form_key": "job-application",
"destination_url": "https://learnitpedia.com/blog-content-writing-job/"
},
"hiring_statement": "is hiring",
"age_requirement_stated": false
},
"status": "success"
}
}About the Learnitpedia API
What the API Returns
The get_job_posting endpoint accepts one required parameter — post_slug — which is the hyphenated slug from the post URL (for example, blog-content-writing-job). It returns a single post object covering every major data point a developer needs to track or surface Learnitpedia opportunity listings: title, url, published_at, modified_at (both ISO 8601 with the site's UTC offset), and a hiring_status value of 'hiring', 'closed', or null when the post's wording is ambiguous.
Application Form and Eligibility Data
When a post embeds an application form, the application_form field returns a nested object containing destination_url, method, form_key, and a fields array describing every input the applicant must complete. When no form is present the field is null. The age_requirement field surfaces any age-related phrase stated in the post body, or returns null if none is mentioned — useful for filtering roles by eligibility criteria without parsing free text yourself.
Pay, Targets, and Article Sections
Compensation details are returned as rate_terms: an array of {heading, level, text} objects corresponding to the article sections that describe pay or commission structures. A parallel daily_target array captures sections that specify output expectations (word counts, tasks per day, and similar). The sections array covers every article section in page order at the same {heading, level, text} grain, giving you the full post content as a structured document rather than raw HTML.
The Learnitpedia API is a managed, monitored endpoint for learnitpedia.com — not a raw scraper you maintain. Every endpoint is automatically health-checked on a schedule, and when learnitpedia.com changes and a check fails, the API is automatically queued for repair and re-verified. It is built to keep working as the site underneath it changes.
This isn't an official learnitpedia.com API — it's an independent, maintained REST wrapper over public data. Where the source has no official API (or only a limited one), Parse gives you a stable contract over a source that never promised one, and keeps it current. Need a new endpoint or field? You can revise it yourself in plain English and the agent rebuilds it against the live site in minutes — contributing the change back to the shared API is free.
Will this API break when the source site changes?+
Is this an official API from the source site?+
Can I fix or extend this API myself if I need a new endpoint or field?+
What happens if I call an endpoint that has an issue?+
- Monitor
hiring_statuschanges across multiple Learnitpedia posts to alert job seekers when a closed listing reopens. - Extract
application_form.fieldsto pre-fill or validate an applicant's submission before they visit the source page. - Aggregate
rate_termssections across posts to compare pay structures for different Learnitpedia content writing roles. - Use
age_requirementvalues to filter opportunity listings for age-restricted freelance programs. - Store
published_atandmodified_attimestamps to detect post updates and re-index content in a job aggregator. - Pull
daily_targetsections to surface productivity expectations alongside job descriptions in a comparison tool. - Render
sectionsarrays to display fully structured post content in a custom jobs portal without handling raw markup.
| Tier | Price | Credits/month | Rate limit |
|---|---|---|---|
| Free | $0/mo | 200 | 5 req/min |
| Hobby | $30/mo | 1,000 | 20 req/min |
| Developer | $100/mo | 5,000 | 100 req/min |
| Team | $300/mo | 20,000 | 300 req/min |
| Company | $1,000/mo | 100,000 | 500 req/min |
Each endpoint has a fixed posted price per successful call — most fall between 1 and 10 credits — shown on this API's page before you run it. Exceeding the rate limit returns a 429 response. Authenticate with the X-API-Key header.
Does Learnitpedia Technologies offer an official developer API?+
What does `hiring_status` actually represent, and can it ever be null?+
'hiring' when the post signals an active opening, 'closed' when it explicitly states the position is filled or applications are no longer accepted, and null when the post does not contain clear hiring-status language — for example, an evergreen informational post.Can the API return listings from other job sites or multiple Learnitpedia posts in one call?+
Is the `application_form` object always populated?+
application_form is null when the post does not include an embedded form (for example, posts that direct applicants to an external link with no inline form). When a form is present, the object includes destination_url, method, form_key, and the fields array. Posts that link to external application pages without embedding a form are not currently captured in this field. You can fork the API on Parse and revise it to add extraction of external application link destinations.How fresh is the data returned by `get_job_posting`?+
modified_at timestamp reflects the last-modified value in the page's structured data, so you can compare it against a cached value to detect whether Learnitpedia has updated the post since your last retrieval.