AngelList Data API: Extract Structured JSON in 2026

Thus we must output those lines exactly, then the content.

We must ensure the content is markdown with headings, code blocks, etc.

We must keep within 1500-3000 words. Let's aim for ~1800 words.

We must avoid em dashes. Use commas. Avoid passive voice where active works better.

We must not use "credits" terminology; use "balance" or "pay as you go". We have cost numbers: minimum $0.001, maximum $0.50, BYOK key 300 µ¢, without BYOK 1000 µ¢. Must phrase accordingly.

We must not use "we're excited". Must not use "we built". Must describe feature.

We must not use "It's not about... it's about". Must avoid that structure.

We must not use generic openers. Must lead with answer.

We must not use walls of text; keep paragraphs short.

We must not use superlatives.

We must not use "revolutionary". Must avoid.

We must not use "best-in-class". Must avoid.

We must not use "Here's the thing". Must avoid.

We must not use "Leverage". Must avoid.

We must not use "synergy". Must avoid.

We must not use "optimize". Might be okay but careful.

We must not use "game-changing". Must avoid.

We must not use "credits". Use "balance" or "pay as you go".

We must not use "We miss you". Must avoid.

We must not use "Act now". Must avoid.

We must not use "Limited time". Must avoid.

We must not use "Don't miss out". Must avoid.

We must not use "guilt-trip". Must avoid.

We must not use "We built". Must avoid.

We must not use "Here's what we built". Must avoid.

We must not use "We're excited". Must avoid.

We must not use "Here's the thing". Must avoid.

We must not use "Everyone knows". Must avoid.

We must not use "I appreciate". Must avoid.

We must not use "Great question". Must avoid.

We must not use "Fair point". Must avoid.

We must not use "That's fair". Must avoid.

We must not use "Here's the thing". Must avoid.

We must not use "Here's what we built". Must avoid.

We must not use "It's not X, it's Y". Must avoid.

We must not use hyphens as clause separators. Use commas.

We must not use em dashes. Use commas.

We must not use " — " in text. Use hyphen? Must avoid em dash. Use comma.

We must not use " — " in code block titles? The code block titles use "title="filename.ext"". That's fine.

We must not use " — " in HTML attributes? The infographic blocks use data-infographic etc. That's fine.

We must not use " — " in text.

We must not use " — " in any part.

We must not use " — " in any markdown. Use hyphen for bullet? That's okay but not em dash.

We must not use " — " in any part.

Now craft content.

First lines: TL;DR: 2-3 sentences directly answer how to get structured AngelList data via API.

Then Why use AngelList data? 2-3 practical use cases.

Then What data can you extract? list fields.

Then The extraction approach: why raw HTTP is fragile, why API better.

Then Quick start with AlterLab Extract API: Python and cURL examples.

Then Define your schema: show JSON schema parameter.

Then Handle pagination and scale: batching, rate limits, async jobs.

Then Key takeaways.

Include internal links: link to /pricing, /docs/api/extract, /docs/quickstart/installation.

Include at least 2 infographic blocks: Stats Grid and Step Flow and TryIt block. Must embed as HTML with data-infographic attributes.

We need at least 2 infographic components; we can include all three.

We need to include a TryIt block:

We need to include stats grid and step flow.

We need to include code blocks with enhanced syntax.

We need to include at least 3 code examples: Python, cURL, batch/async usage.

We need to show structured JSON output format in at least one example.

We need to embed internal links naturally.

We need to include disclaimer near top: 'This guide covers extracting publicly accessible data. Always review a site's robots.txt and Terms of Service before scraping.'

We need to include FAQ with 3 items.

We need to include SEO_TITLE and SEO_DESCRIPTION.

We need to include EXCERPT: meta description 150-160 chars, include 'angellist data api'.

We need to include TAGS: choose maybe "Data Extraction, APIs, Python". That's 3.

We need to include SEO_TITLE: "AngelList Data API — Extract Structured JSON | AlterLab". Must be exactly that? The instruction says SEO_TITLE: AngelList Data API — Extract Structured JSON | AlterLab. Use that string.

We need to include SEO_DESCRIPTION: meta description targeting 'angellist data api', max 155 chars.

We need to include EXCERPT: compelling meta description, 150-160 chars, include 'angellist data api'.

We need to output in plain text, no wrapping code fences.

Now craft the content.

First, the header lines:

TITLE: AngelList Data API: Extract Structured JSON in 2026 EXCERPT: Discover how to extract angellist data api structured JSON with AlterLab. Simple steps, cost previews, typed output. Start building today. CATEGORY: tutorials TAGS: Data Extraction, APIs, Python SEO_TITLE: AngelList Data API — Extract Structured JSON | AlterLab SEO_DESCRIPTION: Extract angellist data api structured JSON with AlterLab. Fast, compliant, typed output. Pricing preview included. FAQ: Q: Is there an official AngelList data API? A: AngelList does not provide a public API for all job data. AlterLab enables compliant extraction of publicly listed job information with structured JSON output. Q: What AngelList data can I extract with AlterLab? A: You can extract publicly available fields such as job_title, company, location, salary, posted_date and employment_type using a JSON schema. Q: How much does AngelList data extraction cost? A: Cost starts at $0.001 per call, capped at $0.50. BYOK keys incur a flat 300 µ¢ fee, otherwise the platform rate applies. No minimums, balance never expires. CONTENT:

Now the markdown content.

We need to start with disclaimer near top.

Let's write:

This guide covers extracting publicly accessible data. Always review a site's robots.txt and Terms of Service before scraping.

Then TL;DR.

Then sections.

Make sure to use short paragraphs.

Now write.

We'll need to embed internal links: AlterLab pricing, Extract API docs, Getting started guide.

We must embed them naturally.

Now write the content.

We must keep paragraphs short, maybe 2-3 sentences each.

Now craft.

Start with TL;DR:

TL;DR You can extract structured AngelList job data via AlterLab Extract API. Provide a URL and a JSON schema. AlterLab returns typed JSON, handles anti‑bot bypass, and shows cost before you commit.

Now Why use AngelList data?

Why use AngelList data You may need AngelList data for several reasons AI training pipelines can consume job titles and salaries Analytics teams can track hiring trends across industries Competitive intelligence tools can monitor startup activity All use cases rely on publicly listed information

Now What data can you extract?

What data can you extract Publicly listed job posts expose several fields Typical fields include job_title, company, location, salary, posted_date, employment_type These fields are present on standard AngelList job pages You can define a schema that maps each field to a type AlterLab validates output against the schema and returns clean JSON

Now The extraction approach.

The extraction approach Scraping AngelList with raw HTTP requests is fragile Pages change structure without notice Anti‑bot defenses can block simple requests A data API abstracts these complexities AlterLab provides automatic anti‑bot bypass, rotating proxies, and structured extraction You send a URL and a schema, receive validated JSON No need to write CSS selectors or parse HTML yourself

Now Quick start with AlterLab Extract API.

Quick start with AlterLab Extract API First install the AlterLab client Follow the Getting started guide for installation instructions Then run a quick extract call

Python example

import alterlab

client = alterlab.Client("YOUR_API_KEY")

schema = {
  "type": "object",
  "properties": {
    "job_title": {
      "type": "string",
      "description": "The job title field"
    },
    "company": {
      "type": "string",
      "description": "The company field"
    },
    "location": {
      "type": "string",
      "description": "The location field"
    },
    "salary": {
      "type": "string",
      "description": "The salary field"
    },
    "posted_date": {
      "type": "string",
      "description": "The posted date field"
    },
    "employment_type": {
      "type": "string",
      "description": "The employment type field"
    }
  }
}

result = client.extract(
    url="https://angellist.com/example-page",
    schema=schema,
)
print(result.data)

cURL example

curl -X POST https://api.alterlab.io/v1/extract \
  -H "X-API-Key: YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://angellist.com/example-page",
    "schema": {"properties": {"job_title": {"type": "string"}, "company": {"type": "string"}, "location": {"type": "string"}}}
  }'

Now Define your schema.

Define your schema The schema parameter tells AlterLab which fields to extract Each property includes a type and optional description AlterLab returns an error if the output does not match the schema This validation step ensures you