MARKET RESEARCH
Scrape competitor earnings calls into a Coda strategy watch-list
On a schedule, scrapes each tracked competitor's latest earnings-call transcript, extracts the strategic theme shifts, and appends them as dated rows to a Coda watch-list table.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionRead tracked competitors from CodaCoda
- ActionScrape latest transcript with FirecrawlFirecrawl
- ActionExtract strategy-shift schema with OpenAIOpenAI
- LogicSkip companies with no new transcript
- OutputAppend rows to Coda watch-list tableCoda
What it does
Keeps a living watch-list of how your named competitors are repositioning. Each run pulls the newest earnings-call transcript for every company on your list, has an LLM isolate the strategy shifts (new bets, retreats, pricing moves, market reframing), and writes one structured row per company into a Coda table you can filter and review.
When to use it
Run it after earnings season opens, or weekly during it, when you track 5-20 public competitors and want their strategic posture in one comparable table instead of reading transcripts by hand.
How it works
- 1A weekly schedule fires the run.
- 2For each competitor in a Coda lookup table, Firecrawl scrapes the latest transcript page into clean markdown.
- 3OpenAI extracts a fixed schema: theme, direction (expanding/exiting/doubling-down), the verbatim quote, and a confidence note.
- 4A logic step drops companies with no fresh transcript since the last run so rows never duplicate.
- 5New extractions are appended to the Coda watch-list table, each tagged with company, quarter, and capture date.
Set it up
What you configure once, before turning it on.
- 1Connect FirecrawlCrawl, scrape, structured extract.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect CodaDocs, packs, automations.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Market Research workflows
Enrich Inbound Accounts with BigQuery Firmographics and Score Fit
When a new account row lands in Airtable, joins it against BigQuery public business datasets to attach firmographic attributes.
Blend BigQuery TAM with Live Competitor Signals into a Notion Brief
On demand, sizes a chosen segment from BigQuery public data, gathers current competitor signals via Brave Search, and synthesizes a one-page market brief into Notion.
Allocate Sales Territory TAM from BigQuery Geo Data to HubSpot
When triggered by a webhook, queries BigQuery public ZIP-level business data to compute TAM per sales territory.
Hiring Surge Detector with Slack Alert
Detects when a target account's open-role count jumps above its recent baseline and posts a ranked Slack alert to the GTM channel so reps can act on a company that is clearly…
Tech-Stack Shift Inference from Job Descriptions
Reads new job descriptions for target accounts, uses an LLM to extract named technologies and infer stack changes.
Weekly Hiring-Intel Briefing for GTM
An agent reviews the week's accumulated hiring signals across all target accounts, writes a narrative briefing that infers each account's likely initiatives.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
